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The Most Important Research Skills (With Examples)

• What Are Hard Skills?
• What Are Technical Skills?
• What Are What Are Life Skills?
• What Are Social Media Skills Resume?
• What Are Administrative Skills?
• What Are Analytical Skills?
• What Are Research Skills?
• What Are Transferable Skills?
• What Are Microsoft Office Skills?
• What Are Clerical Skills?
• What Are Computer Skills?
• What Are Core Competencies?
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• What Are Conflict Resolution Skills?
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• How To Delegate

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Research skills are the ability to find out accurate information on a topic. They include being able to determine the data you need, find and interpret those findings, and then explain that to others. Being able to do effective research is a beneficial skill in any profession, as data and research inform how businesses operate.

Whether you’re unsure of your research skills or are looking for ways to further improve them, then this article will cover important research skills and how to become even better at research.

Key Takeaways

Having strong research skills can help you understand your competitors, develop new processes, and build your professional skills in addition to aiding you in finding new customers and saving your company money.

Some of the most valuable research skills you can have include goal setting, data collection, and analyzing information from multiple sources.

You can and should put your research skills on your resume and highlight them in your job interviews.

What are research skills?

Why are research skills important, 12 of the most important research skills, how to improve your research skills, highlighting your research skills in a job interview, how to include research skills on your resume, resume examples showcasing research skills, research skills faqs.

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Research skills are the necessary tools to be able to find, compile, and interpret information in order to answer a question. Of course, there are several aspects to this. Researchers typically have to decide how to go about researching a problem — which for most people is internet research.

In addition, you need to be able to interpret the reliability of a source, put the information you find together in an organized and logical way, and be able to present your findings to others. That means that they’re comprised of both hard skills — knowing your subject and what’s true and what isn’t — and soft skills. You need to be able to interpret sources and communicate clearly.

Research skills are useful in any industry, and have applications in innovation, product development, competitor research, and many other areas. In addition, the skills used in researching aren’t only useful for research. Being able to interpret information is a necessary skill, as is being able to clearly explain your reasoning.

Research skills are used to:

Do competitor research. Knowing what your biggest competitors are up to is an essential part of any business. Researching what works for your competitors, what they’re doing better than you, and where you can improve your standing with the lowest resource expenditure are all essential if a company wants to remain functional.

Develop new processes and products. You don’t have to be involved in research and development to make improvements in how your team gets things done. Researching new processes that make your job (and those of your team) more efficient will be valued by any sensible employer.

Foster self-improvement. Folks who have a knack and passion for research are never content with doing things the same way they’ve always been done. Organizations need independent thinkers who will seek out their own answers and improve their skills as a matter of course. These employees will also pick up new technologies more easily.

Manage customer relationships. Being able to conduct research on your customer base is positively vital in virtually every industry. It’s hard to move products or sell services if you don’t know what people are interested in. Researching your customer base’s interests, needs, and pain points is a valuable responsibility.

Save money. Whether your company is launching a new product or just looking for ways to scale back its current spending, research is crucial for finding wasted resources and redirecting them to more deserving ends. Anyone who proactively researches ways that the company can save money will be highly appreciated by their employer.

Solve problems. Problem solving is a major part of a lot of careers, and research skills are instrumental in making sure your solution is effective. Finding out the cause of the problem and determining an effective solution both require accurate information, and research is the best way to obtain that — be it via the internet or by observation.

Determine reliable information. Being able to tell whether or not the information you receive seems accurate is a very valuable skill. While research skills won’t always guarantee that you’ll be able to tell the reliability of the information at first glance, it’ll prevent you from being too trusting. And it’ll give the tools to double-check .

Experienced researchers know that worthwhile investigation involves a variety of skills. Consider which research skills come naturally to you, and which you could work on more.

Data collection . When thinking about the research process, data collection is often the first thing that comes to mind. It is the nuts and bolts of research. How data is collected can be flexible.

For some purposes, simply gathering facts and information on the internet can fulfill your need. Others may require more direct and crowd-sourced research. Having experience in various methods of data collection can make your resume more impressive to recruiters.

Data collection methods include: Observation Interviews Questionnaires Experimentation Conducting focus groups

Analysis of information from different sources. Putting all your eggs in one source basket usually results in error and disappointment. One of the skills that good researchers always incorporate into their process is an abundance of sources. It’s also best practice to consider the reliability of these sources.

Are you reading about U.S. history on a conspiracy theorist’s blog post? Taking facts for a presentation from an anonymous Twitter account?

If you can’t determine the validity of the sources you’re using, it can compromise all of your research. That doesn’t mean just disregard anything on the internet but double-check your findings. In fact, quadruple-check. You can make your research even stronger by turning to references outside of the internet.

Examples of reliable information sources include: Published books Encyclopedias Magazines Databases Scholarly journals Newspapers Library catalogs

Finding information on the internet. While it can be beneficial to consulate alternative sources, strong internet research skills drive modern-day research.

One of the great things about the internet is how much information it contains, however, this comes with digging through a lot of garbage to get to the facts you need. The ability to efficiently use the vast database of knowledge that is on the internet without getting lost in the junk is very valuable to employers.

Internet research skills include: Source checking Searching relevant questions Exploring deeper than the first options Avoiding distraction Giving credit Organizing findings

Interviewing. Some research endeavors may require a more hands-on approach than just consulting internet sources. Being prepared with strong interviewing skills can be very helpful in the research process.

Interviews can be a useful research tactic to gain first-hand information and being able to manage a successful interview can greatly improve your research skills.

Interviewing skills involves: A plan of action Specific, pointed questions Respectfulness Considering the interview setting Actively Listening Taking notes Gratitude for participation

Report writing. Possessing skills in report writing can assist you in job and scholarly research. The overall purpose of a report in any context is to convey particular information to its audience.

Effective report writing is largely dependent on communication. Your boss, professor , or general reader should walk away completely understanding your findings and conclusions.

Report writing skills involve: Proper format Including a summary Focusing on your initial goal Creating an outline Proofreading Directness

Critical thinking. Critical thinking skills can aid you greatly throughout the research process, and as an employee in general. Critical thinking refers to your data analysis skills. When you’re in the throes of research, you need to be able to analyze your results and make logical decisions about your findings.

Critical thinking skills involve: Observation Analysis Assessing issues Problem-solving Creativity Communication

Planning and scheduling. Research is a work project like any other, and that means it requires a little forethought before starting. Creating a detailed outline map for the points you want to touch on in your research produces more organized results.

It also makes it much easier to manage your time. Planning and scheduling skills are important to employers because they indicate a prepared employee.

Planning and scheduling skills include: Setting objectives Identifying tasks Prioritizing Delegating if needed Vision Communication Clarity Time-management

Note-taking. Research involves sifting through and taking in lots of information. Taking exhaustive notes ensures that you will not neglect any findings later and allows you to communicate these results to your co-workers. Being able to take good notes helps summarize research.

Examples of note-taking skills include: Focus Organization Using short-hand Keeping your objective in mind Neatness Highlighting important points Reviewing notes afterward

Communication skills. Effective research requires being able to understand and process the information you receive, either written or spoken. That means that you need strong reading comprehension and writing skills — two major aspects of communication — as well as excellent listening skills.

Most research also involves showcasing your findings. This can be via a presentation. , report, chart, or Q&A. Whatever the case, you need to be able to communicate your findings in a way that educates your audience.

Communication skills include: Reading comprehension Writing Listening skills Presenting to an audience Creating graphs or charts Explaining in layman’s terms

Time management. We’re, unfortunately, only given 24 measly hours in a day. The ability to effectively manage this time is extremely powerful in a professional context. Hiring managers seek candidates who can accomplish goals in a given timeframe.

Strong time management skills mean that you can organize a plan for how to break down larger tasks in a project and complete them by a deadline. Developing your time management skills can greatly improve the productivity of your research.

Time management skills include: Scheduling Creating task outlines Strategic thinking Stress-management Delegation Communication Utilizing resources Setting realistic expectations Meeting deadlines

Using your network. While this doesn’t seem immediately relevant to research skills, remember that there are a lot of experts out there. Knowing what people’s areas of expertise and asking for help can be tremendously beneficial — especially if it’s a subject you’re unfamiliar with.

Your coworkers are going to have different areas of expertise than you do, and your network of people will as well. You may even know someone who knows someone who’s knowledgeable in the area you’re researching. Most people are happy to share their expertise, as it’s usually also an area of interest to them.

Networking involves: Remembering people’s areas of expertise Being willing to ask for help Communication Returning favors Making use of advice Asking for specific assistance

Attention to detail. Research is inherently precise. That means that you need to be attentive to the details, both in terms of the information you’re gathering, but also in where you got it from. Making errors in statistics can have a major impact on the interpretation of the data, not to mention that it’ll reflect poorly on you.

There are proper procedures for citing sources that you should follow. That means that your sources will be properly credited, preventing accusations of plagiarism. In addition, it means that others can make use of your research by returning to the original sources.

Attention to detail includes: Double checking statistics Taking notes Keeping track of your sources Staying organized Making sure graphs are accurate and representative Properly citing sources

As with many professional skills, research skills serve us in our day to day life. Any time you search for information on the internet, you’re doing research. That means that you’re practicing it outside of work as well. If you want to continue improving your research skills, both for professional and personal use, here are some tips to try.

Differentiate between source quality. A researcher is only as good as their worst source. Start paying attention to the quality of the sources you use, and be suspicious of everything your read until you check out the attributions and works cited.

Be critical and ask yourself about the author’s bias, where the author’s research aligns with the larger body of verified research in the field, and what publication sponsored or published the research.

Use multiple resources. When you can verify information from a multitude of sources, it becomes more and more credible. To bolster your faith in one source, see if you can find another source that agrees with it.

Don’t fall victim to confirmation bias. Confirmation bias is when a researcher expects a certain outcome and then goes to find data that supports this hypothesis. It can even go so far as disregarding anything that challenges the researcher’s initial hunch. Be prepared for surprising answers and keep an open mind.

Be open to the idea that you might not find a definitive answer. It’s best to be honest and say that you found no definitive answer instead of just confirming what you think your boss or coworkers expect or want to hear. Experts and good researchers are willing to say that they don’t know.

Stay organized. Being able to cite sources accurately and present all your findings is just as important as conducting the research itself. Start practicing good organizational skills , both on your devices and for any physical products you’re using.

Get specific as you go. There’s nothing wrong with starting your research in a general way. After all, it’s important to become familiar with the terminology and basic gist of the researcher’s findings before you dig down into all the minutia.

A job interview is itself a test of your research skills. You can expect questions on what you know about the company, the role, and your field or industry more generally. In order to give expert answers on all these topics, research is crucial.

Start by researching the company . Look into how they communicate with the public through social media, what their mission statement is, and how they describe their culture.

Pay close attention to the tone of their website. Is it hyper professional or more casual and fun-loving? All of these elements will help decide how best to sell yourself at the interview.

Next, research the role. Go beyond the job description and reach out to current employees working at your desired company and in your potential department. If you can find out what specific problems your future team is or will be facing, you’re sure to impress hiring managers and recruiters with your ability to research all the facts.

Finally, take time to research the job responsibilities you’re not as comfortable with. If you’re applying for a job that represents increased difficulty or entirely new tasks, it helps to come into the interview with at least a basic knowledge of what you’ll need to learn.

Research projects require dedication. Being committed is a valuable skill for hiring managers. Whether you’ve had research experience throughout education or a former job, including it properly can boost the success of your resume .

Consider how extensive your research background is. If you’ve worked on multiple, in-depth research projects, it might be best to include it as its own section. If you have less research experience, include it in the skills section .

Focus on your specific role in the research, as opposed to just the research itself. Try to quantify accomplishments to the best of your abilities. If you were put in charge of competitor research, for example, list that as one of the tasks you had in your career.

If it was a particular project, such as tracking the sale of women’s clothing at a tee-shirt company, you can say that you “directed analysis into women’s clothing sales statistics for a market research project.”

Ascertain how directly research skills relate to the job you’re applying for. How strongly you highlight your research skills should depend on the nature of the job the resume is for. If research looks to be a strong component of it, then showcase all of your experience.

If research looks to be tangential, then be sure to mention it — it’s a valuable skill — but don’t put it front and center.

Example #1: Academic Research

Simon Marks 767 Brighton Blvd. | Brooklyn, NY, 27368 | (683)-262-8883 | [email protected] Diligent and hardworking recent graduate seeking a position to develop professional experience and utilize research skills. B.A. in Biological Sciences from New York University. PROFESSIONAL EXPERIENCE Lixus Publishing , Brooklyn, NY Office Assistant- September 2018-present Scheduling and updating meetings Managing emails and phone calls Reading entries Worked on a science fiction campaign by researching target demographic Organizing calendars Promoted to office assistant after one year internship Mitch’s Burgers and Fries , Brooklyn, NY Restaurant Manager , June 2014-June 2018 Managed a team of five employees Responsible for coordinating the weekly schedule Hired and trained two employees Kept track of inventory Dealt with vendors Provided customer service Promoted to restaurant manager after two years as a waiter Awarded a $2.00/hr wage increase SKILLS Writing Scientific Research Data analysis Critical thinking Planning Communication RESEARCH Worked on an ecosystem biology project with responsibilities for algae collection and research (2019) Lead a group of freshmen in a research project looking into cell biology (2018) EDUCATION New York University Bachelors in Biological Sciences, September 2016-May 2020

Example #2: Professional Research

Angela Nichols 1111 Keller Dr. | San Francisco, CA | (663)-124-8827 |[email protected] Experienced and enthusiastic marketer with 7 years of professional experience. Seeking a position to apply my marketing and research knowledge. Skills in working on a team and flexibility. EXPERIENCE Apples amp; Oranges Marketing, San Francisco, CA Associate Marketer – April 2017-May 2020 Discuss marketing goals with clients Provide customer service Lead campaigns associated with women’s health Coordinating with a marketing team Quickly solving issues in service and managing conflict Awarded with two raises totaling $10,000 over three years Prestigious Marketing Company, San Francisco, CA Marketer – May 2014-April 2017 Working directly with clients Conducting market research into television streaming preferences Developing marketing campaigns related to television streaming services Report writing Analyzing campaign success statistics Promoted to Marketer from Junior Marketer after the first year Timberlake Public Relations, San Francisco, CA Public Relations Intern – September 2013–May 2014 Working cohesively with a large group of co-workers and supervisors Note-taking during meetings Running errands Managing email accounts Assisting in brainstorming Meeting work deadlines EDUCATION Golden Gate University, San Francisco, CA Bachelor of Arts in Marketing with a minor in Communications – September 2009 – May 2013 SKILLS Marketing Market research Record-keeping Teamwork Presentation. Flexibility

What research skills are important?

Goal-setting and data collection are important research skills. Additional important research skills include:

Using different sources to analyze information.

Finding information on the internet.

Interviewing sources.

Writing reports.

Critical thinking.

Planning and scheduling.

Note-taking.

Managing time.

How do you develop good research skills?

You develop good research skills by learning how to find information from multiple high-quality sources, by being wary of confirmation bias, and by starting broad and getting more specific as you go.

When you learn how to tell a reliable source from an unreliable one and get in the habit of finding multiple sources that back up a claim, you’ll have better quality research.

In addition, when you learn how to keep an open mind about what you’ll find, you’ll avoid falling into the trap of confirmation bias, and by staying organized and narrowing your focus as you go (rather than before you start), you’ll be able to gather quality information more efficiently.

What is the importance of research?

The importance of research is that it informs most decisions and strategies in a business. Whether it’s deciding which products to offer or creating a marketing strategy, research should be used in every part of a company.

Because of this, employers want employees who have strong research skills. They know that you’ll be able to put them to work bettering yourself and the organization as a whole.

Should you put research skills on your resume?

Yes, you should include research skills on your resume as they are an important professional skill. Where you include your research skills on your resume will depend on whether you have a lot of experience in research from a previous job or as part of getting your degree, or if you’ve just cultivated them on your own.

If your research skills are based on experience, you could put them down under the tasks you were expected to perform at the job in question. If not, then you should likely list it in your skills section.

University of the People – The Best Research Skills for Success

Association of Internet Research Specialists — What are Research Skills and Why Are They Important?

MasterClass — How to Improve Your Research Skills: 6 Research Tips

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Sky Ariella is a professional freelance writer, originally from New York. She has been featured on websites and online magazines covering topics in career, travel, and lifestyle. She received her BA in psychology from Hunter College.

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What are research skills?

Last updated

26 April 2023

Reviewed by

Broadly, it includes a range of talents required to:

Find useful information

Perform critical analysis

Form hypotheses

Solve problems

It also includes processes such as time management, communication, and reporting skills to achieve those ends.

Research requires a blend of conceptual and detail-oriented modes of thinking. It tests one's ability to transition between subjective motivations and objective assessments to ensure only correct data fits into a meaningfully useful framework.

As countless fields increasingly rely on data management and analysis, polishing your research skills is an important, near-universal way to improve your potential of getting hired and advancing in your career.

Make research less tedious

Dovetail streamlines research to help you uncover and share actionable insights

What are basic research skills?

Almost any research involves some proportion of the following fundamental skills:

Organization

Decision-making

Investigation and analysis

Creative thinking

What are primary research skills?

The following are some of the most universally important research skills that will help you in a wide range of positions:

Time management — From planning and organization to task prioritization and deadline management, time-management skills are highly in-demand workplace skills.

Problem-solving — Identifying issues, their causes, and key solutions are another essential suite of research skills.

Critical thinking — The ability to make connections between data points with clear reasoning is essential to navigate data and extract what's useful towards the original objective.

Communication — In any collaborative environment, team-building and active listening will help researchers convey findings more effectively through data summarizations and report writing.

What are the most important skills in research?

Detail-oriented procedures are essential to research, which allow researchers and their audience to probe deeper into a subject and make connections they otherwise may have missed with generic overviews.

Maintaining priorities is also essential so that details fit within an overarching strategy. Lastly, decision-making is crucial because that's the only way research is translated into meaningful action.

• Why are research skills important?

Good research skills are crucial to learning more about a subject, then using that knowledge to improve an organization's capabilities. Synthesizing that research and conveying it clearly is also important, as employees seek to share useful insights and inspire effective actions.

Effective research skills are essential for those seeking to:

Analyze their target market

Investigate industry trends

Identify customer needs

Detect obstacles

Find solutions to those obstacles

Develop new products or services

Develop new, adaptive ways to meet demands

Discover more efficient ways of acquiring or using resources

Why do we need research skills?

Businesses and individuals alike need research skills to clarify their role in the marketplace, which of course, requires clarity on the market in which they function in. High-quality research helps people stay better prepared for challenges by identifying key factors involved in their day-to-day operations, along with those that might play a significant role in future goals.

• Benefits of having research skills

Research skills increase the effectiveness of any role that's dependent on information. Both individually and organization-wide, good research simplifies what can otherwise be unwieldy amounts of data. It can help maintain order by organizing information and improving efficiency, both of which set the stage for improved revenue growth.

Those with highly effective research skills can help reveal both:

Opportunities for improvement

Brand-new or previously unseen opportunities

Research skills can then help identify how to best take advantage of available opportunities. With today's increasingly data-driven economy, it will also increase your potential of getting hired and help position organizations as thought leaders in their marketplace.

• Research skills examples

Being necessarily broad, research skills encompass many sub-categories of skillsets required to extrapolate meaning and direction from dense informational resources. Identifying, interpreting, and applying research are several such subcategories—but to be specific, workplaces of almost any type have some need of:

Searching for information

Attention to detail

Taking notes

Problem-solving

Communicating results

Time management

• How to improve your research skills

Whether your research goals are to learn more about a subject or enhance workflows, you can improve research skills with this failsafe, four-step strategy:

Make an outline, and set your intention(s)

Know your sources

Learn to use advanced search techniques

Practice, practice, practice (and don't be afraid to adjust your approach)

These steps could manifest themselves in many ways, but what's most important is that it results in measurable progress toward the original goals that compelled you to research a subject.

• Using research skills at work

Different research skills will be emphasized over others, depending on the nature of your trade. To use research most effectively, concentrate on improving research skills most relevant to your position—or, if working solo, the skills most likely have the strongest impact on your goals.

You might divide the necessary research skills into categories for short, medium, and long-term goals or according to each activity your position requires. That way, when a challenge arises in your workflow, it's clearer which specific research skill requires dedicated attention.

How can I learn research skills?

Learning research skills can be done with a simple three-point framework:

Clarify the objective — Before delving into potentially overwhelming amounts of data, take a moment to define the purpose of your research. If at any point you lose sight of the original objective, take another moment to ask how you could adjust your approach to better fit the original objective.

Scrutinize sources — Cross-reference data with other sources, paying close attention to each author's credentials and motivations.

Organize research — Establish and continually refine a data-organization system that works for you. This could be an index of resources or compiling data under different categories designed for easy access.

Which careers require research skills?

Especially in today's world, most careers require some, if not extensive, research. Developers, marketers, and others dealing in primarily digital properties especially require extensive research skills—but it's just as important in building and manufacturing industries, where research is crucial to construct products correctly and safely.

Engineering, legal, medical, and literally any other specialized field will require excellent research skills. Truly, almost any career path will involve some level of research skills; and even those requiring only minimal research skills will at least require research to find and compare open positions in the first place.

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What are Research Skills? How to Improve Your Skills in Research

Learn strategies and techniques to improve your research skills. Avoid common mistakes and implement proven methods for efficient research. This article offers practical tips to enhance your ability to find and evaluate high-quality information.

Are you struggling to find relevant and reliable information for your research? Do you want to avoid getting lost in a sea of sources and needing help knowing where to start? Improving your research skills is essential for academic success and professional growth.

In today's information age, effectively conducting research has become more important than ever. Whether you are a student, a professional, or simply someone who wants to stay informed, knowing how to find and evaluate information is crucial.

Fortunately, some strategies and techniques can help you improve your research skills and become a more efficient and effective researcher. By avoiding common mistakes and implementing proven methods, you can enhance your ability to find high-quality information and make the most of your research endeavors. This article will explore some practical tips and tricks to help you improve your research skills and achieve better results.

What is Research?

Research is a critical part of learning, problem-solving, and decision-making. It is an essential process used in every field for both the individual and collective’s mutual benefit and success. Research involves systematically gathering data from primary or secondary sources, analyzing it, interpreting it, and communicating its findings to researchers and other interested parties.

Research can be divided into two main categories: quantitative research, which uses numerical data to describe phenomena, and qualitative research, which seeks to understand people's beliefs, opinions, values, or behaviors. Quantitative research often involves applying model-based approaches that can predict outcomes based on observations. It is one of the most powerful methods of discovering information about the world, as it allows for testing hypotheses in a systematic manner. Qualitative research is more exploratory in nature by focusing on understanding the motivations behind what people do or think rather than developing models or producing statistics in order to conclude behavior and relationships between variables. This type of research usually relies more on observation and engagement with people instead of using statistical models.

What are Research Skills?

Research skills are the abilities and talents required to focus on an objective, gather the relevant data linked to it, analyze it using appropriate methods, and accurately communicate the results. Taking part in research indicates that you have acquired knowledge of your subject matter, have digested that knowledge, and processed, evaluated, and analyzed it until you can resolve a problem or answer a query. It is highly beneficial for employers to hire people with strong research skills since they can provide valuable insights and add value to the company’s performance. Therefore, researching effectively has become crucial to securing a job in most industries.

Why Do Research Skills Matter?

Research skills are essential if one intends to succeed in today's competitive world. With technology ever-evolving and a need to stay ahead of the competition, employees who possess research skills can prove invaluable to their employers. These skills include researching, analyzing, and interpreting data and making informed decisions based on that information.

Employers value workers who can quickly develop a thorough understanding of any changes or trends in their field of work through accurate research. Knowing how to assess customer needs, recognize competition, write reports, improve productivity, and advise on investments can also benefit any business. With the help of research skills, companies can uncover ways to adapt their services or products that better serve their customers’ needs while helping them save money at the same time. This makes overall operations more efficient as well as helps a company remain ahead of its competitors.

Essential Research Skills :

Here is a list of essential research skills:

Data Collection

Data collection is an important part of comprehending a certain topic and ensuring reliable information is collected while striving to answer complex questions. Every situation differs, but data collection typically includes surveys, interviews, observations, and existing document reviews. The data collected can be quantitative or qualitative, depending on the nature of the problem at hand. As students advance through university and other educational institutions, they will need to read extensively into a particular field and may even need to undertake comprehensive literature reviews to answer fundamental questions.

The skills acquired through data collection during university are invaluable for future roles and jobs. Gaining experience in understanding complex topics, reading widely on a given subject matter, collecting relevant data, and analyzing findings - all these activities are integral when dealing with any type of project within the corporate sector. Therefore, embarking on various research projects enhances a person's education level and brings about significant professional experience.

Goal-Setting

Setting goals is an important skill for any successful research project. It allows you to stay focused and motivated throughout the process. Goals are also essential in helping with direction: they provide a path to organize our thoughts, narrow our focus, and prioritize the tasks we need to undertake to achieve our desired result. The concept of goal-setting is inherent in most research processes, as everything needs to have something to strive for — whether that’s gaining knowledge about a particular topic or testing a theory.

When it comes to creating and setting goals during the research process, you must have clear and specific objectives in mind from the outset. Writing down your thoughts helps define these objectives, which can inform the data collection process; moreover, thinking about short-term and long-term goals can help you create manageable steps toward achieving them. Learning how to break up larger projects into smaller “mini-goals effectively” can make all the difference when tackling complex investigations — allowing researchers to monitor their progress more easily and culminate results further down the line.

Critical Thinking

Critical thinking is an integral part of the modern workplace. To succeed, one must be able to look at a situation objectively and make decisions based on evidence. The information examined needs to come from various sources, such as data collection, personal observation, or analysis. The goal should then be to take all this information and form a logical judgment that informs an action plan or idea.

Someone who displays strong critical thinking skills will not just accept proposed ideas at face value but instead can understand how these ideas can be applied and challenged. Accepting something without consideration means making the wrong decision due to a lack of thought. Critical thinkers understand how brainstorming works, assessing all elements before forming any decision. From negotiating with colleagues or customers in adversarial scenarios to analyzing complex documents such as legal contracts in order to review business agreements - critical dedicated apply their knowledge effectively and are able to back up their evaluation with evidence collected from multiple sources.

Observation Skills

Observation skills are necessary for conducting any form of research, whether it be in the workplace or as part of an investigative process. It is important to be able to pick up on the details that might otherwise pass unnoticed, such as inconsistencies in data or irregularities in how something is presented, and to pay careful attention to regulations and procedures that govern the company or environment. This can help researchers to ensure their processes are accurate and reliable.

As well as analyzing what we see around us directly, many research methodologies often involve calculated statistical analyses and calculations. For this reason, it’s important to develop strong observation skills so that the legitimacy of information can be confirmed and checked before conclusions are formed. Improving this skill requires dedication and practice, which could include keeping a journal reflecting on experiences, posing yourself questions about what you have observed, and seeking out opportunities in unfamiliar settings to test your observations.

Detail Orientation

Detail orientation is an important research skill for any scientific endeavor. It allows one to assess a situation or problem in minute detail and make appropriate judgments based on the information gathered. A detail-oriented thinker can easily spot errors, inconsistencies, and vital pieces of evidence, which can help lead to accurate conclusions from the research. Additionally, this skill allows someone to evaluate the quality and accuracy of data recorded during an experiment or project more efficiently to ensure validity.

Spotting small mistakes that may otherwise have been overlooked is a crucial part of conducting detailed research that must be perfected. Individuals aiming for superior outcomes should strive to develop their skill at detecting details by practicing critical analysis techniques, such as breaking down large bodies of information into smaller tasks to identify finer points quickly. Moreover, encouragement should also be made for elaborate comparison and analysis between different pieces of information when solving a complex problem, as it can help provide better insights into problems accurately.

Investigative Skills

Investigative skills are an essential component when it comes to gathering and analyzing data. In a professional setting, it is important to determine the accuracy and validity of different sources of information before making any decisions or articulating ideas. Generally, effective investigation requires collecting different sets of reliable data, such as surveys and interviews with stakeholders, employees, customers, etc. For example, if a company internally assesses possible challenges within its business operations environment, it would need to conduct more profound research involving talking to relevant stakeholders who could provide critical perspectives about the situation.

Data-gathering techniques such as comparison shopping and regulatory reviews have become more commonplace in the industry as people strive for greater transparency and more accurate results. Knowing how to identify reliable sources of information can give individuals a competitive advantage and allow them to make sound decisions based on accurate data. Investing time in learning different investigative skills can help recruiters spot applicants dedicated to acquiring knowledge in this field. Developing these investigative skills is also valuable for those looking for executive positions or starting their own business. By familiarizing themselves with their application process, people can become adept at collecting high-quality data they may use in their research endeavors.

Time Management

Time management is a key skill for any researcher. It's essential to be able to allocate time between different activities so you can effectively plan and structure your research projects. Without good time management, you may find yourself hastily completing tasks or feeling stressed out as you rush to complete an analysis. Ultimately, managing your time allows you to stay productive and ensure that each project is completed with the highest results.

Good time management requires various skills such as planning ahead, prioritizing tasks, breaking down large projects into smaller steps, and even delegating some activities when possible. It also means setting realistic goals for yourself in terms of the amount of research that can be achieved in certain timestamps and learning how to adjust these goals when needed. Becoming mindful of how you spend the same hours each day will propel your productivity and see positive results from your efforts. Time management becomes especially relevant regarding data collection and analysis – it is crucial to understand precisely what kind of resources are needed for each task before diving into the research itself. Knowing how much time should be dedicated to each step is essential for meeting deadlines while still retaining accuracy in the final outcomes of one’s study.

Tips on How to Improve Your Research Skills

Below are some tips that can help in improving your skills in research:

Initiate your project with a structured outline

When embarking on any research project, creating an outline and scope document must first ensure that you remain on the right track. An outline sets expectations for your project by forming a detailed strategy for researching the topic and gathering the necessary data to conclude. It will help you stay organized and break down large projects into more manageable parts. This can help prevent procrastination as each part of the project has its own timeline, making it easier to prioritize tasks accordingly.

Using an outline and scope document also allows for better structure when conducting research or interviews, as it guides which sources are most relevant, what questions need to be answered, and how information should be collected or presented. This ensures that all information received through research or interviews stays within the confines of the chosen topic of investigation. Additionally, it ensures that no important details are overlooked while minimizing the chance that extraneous information gets included in your results. Taking this time upfront prevents potential problems during analysis or reporting of findings later.

Acquire expertise in advanced data collection methods

When it comes to collecting data for research purposes, a range of advanced data collection techniques can be used to maximize your efficiency and accuracy. One such technique is customizing your online search results with advanced search settings. By adding quotation marks and wildcard characters to the terms you are searching for, you are more likely to find the information you need from reliable sources. This can be especially useful if, for instance, you are looking for exact quotes or phrases. Different search engines require different advanced techniques and tactics, so learning these can help you get more specific results from your research endeavors.

Aside from using online searches, another standard methodology when conducting research is accessing primary information through libraries or other public sources. A specific classification system will likely be in place that can help researchers locate the materials needed quickly and easily. Knowing and understanding this system allows one to access information much more efficiently while also giving them ample opportunity to increase their knowledge of various topics by browsing related content in the same category groups. Thus, by learning about advanced data collection techniques for both online and offline sources, researchers can make substantial progress in their studies more efficiently.

Validate and examine the reliability of your data sources

Collecting reliable information for research can be a challenge, especially when relying on online sources. It is essential to remember that not all sources are created equal, and some sites may contain false or inaccurate data. It is, therefore important to verify and analyze the data before using it as part of your research.

One way to start verifying and analyzing your sources is to cross-reference material from one source with another. This may help you determine if particular facts or claims are accurate and, therefore, more valid than others. Additionally, trace where the data is coming from by looking at the author or organization behind it so that you can assess their expertise in a particular field and authority on the topic at hand. Once these steps have been completed, you can confidently use this trusted information for your project.

Structure your research materials

Organizing your research materials is an integral part of any research process. When you’re conducting a project or study and trying to find the most relevant information, you can become overwhelmed with all the data available. It’s important to separate valid from invalid materials and to categorize research materials by subject for easy access later on. Bookmarking websites on a computer or using a digital asset management tool are two effective methods for organizing research information.

When researching, it’s critical to remember that some sources have limited value and may be outside the scope of your topic. Recognizing reliable material versus trustworthy resources can be complex in this sea of information. However, sorting data into appropriate categories can help narrow down what is necessary for producing valid conclusions. This method of classifying information helps ensure that vital documents aren't overlooked during the organization process as they are placed in folders shortcutted for quick access within one centralized source whenever needed. Separating valuable sources also makes it easier to reference later on when writing reports or giving presentations - material won't get lost among irrelevant data, and conclusions will be backed by sound evidence.

Enhance your research and communication capabilities

Developing research and communication skills is essential for succeeding academically and professionally in the modern world. The key to improving these skills lies in rigorous practice, which can begin with small projects such as resolving common issues or completing a research task that can be made into a personal project. One way to do this is to volunteer for research projects at work and gain experience under the guidance of experienced researchers. This will improve your research skills and help you develop communication skills when working with others on the project. Another option is to turn a personal project into a research task. For example, if you plan on taking a holiday soon, you could create an objective method to select the best destination by conducting online research on destinations and making informed decisions based on thorough analysis. Practicing in this way enables you to complete any research task confidently and communicate efficiently with ease.

How to Articulate Research Skills on Your Resume

Research projects require commitment and perseverance, making it an important skill to include on a resume. Even if you have had limited research experience throughout your education or previous job, including this in your resume assesses these qualities to potential employers. It's important to consider the extent of your research experience when deciding how to add this part of your background to your resume. If you have been involved with multiple in-depth research projects, it might be best to highlight this by including it as its own section. On the other hand, if the amount of research you have completed is more limited, then try including it in the skills section instead.

When adding research experience and accomplishments into either section of your resume, be sure to emphasize any specific roles or contributions you made during the process instead of just describing the project itself. Furthermore, remember to quantify any successes where possible - this showcases both communication and technical proficiency strengths, which can help make your resume stand out even more. By properly articulating research skills within a resume, employers will likely be more interested in what job seekers have accomplished in their careers.

How to Apply Research Skills Effectively in Your Workplace

Research skills are an invaluable set of abilities to bring to your workplace. To make sure you use them properly, a good place to start is by taking time to plan the project you have been assigned. Whether it’s writing a report or analyzing data, mapping out what tasks you need to do and how long they should take helps to understand the project timeline better. This also makes setting aside dedicated time for research easier too.

To ensure that the decisions made are sound and informed, reading up on the subject area related to the project remains one of the premier ways of doing this. This will help to ensure that any problems arising can be solved quickly and effectively, as well as provide answers before any decisions are actually put into practice. By arming yourself with knowledge gathered through reading about a particular topic, it can give you more confidence when formulating plans or strategies in which direction to take your work in.

Final Thoughts

Research skills are increasingly important in the modern world, and gaining proficiency in this area can significantly benefit a person's career. Research skills are essential for success in many different roles and fields, including those within business and industry, education, science, and medicine. Developing a deep understanding of research allows us to identify problems better and critically evaluate potential solutions. It also bolsters our problem-solving abilities as we work to find creative solutions that meet our efforts' objectives.

By improving your research capabilities, you can impress employers during an application process or when joining a team at work. Research skills are considered soft skills by potential employers since they signal that you have attention to detail while simultaneously demonstrating your ability to learn new things quickly. Employers regard these skills highly, making them one of the key graduate career skills recruiters seek. Furthermore, being able to add ‘research skills’ to your CV will be looked upon favorably by employers and help drive up your employability significantly. Demonstrating that you possess these sought-after traits makes it easier for recruiters to give you the opportunity you've been looking for, so it's worth investing the time into developing these life-long learning tools today.

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Research Skills: What they are and Benefits

Research skills play a vital role in the success of any research project, enabling individuals to navigate the vast sea of information, analyze data critically, and draw meaningful conclusions. Whether conducting academic research, professional investigations, or personal inquiries, strong research skills are essential for obtaining accurate and reliable results.

LEARN ABOUT:   Research Process Steps

By understanding and developing these skills, individuals can embark on their research endeavors with confidence, integrity, and the capability to make meaningful contributions in their chosen fields. This article will explore the importance of research skills and discuss critical competencies necessary for conducting a research project effectively.

Content Index

What are Research Skills?

Important research skills for research project, benefits of research skills.

• Improving your Research Skills

Talk to Experts to Improve Skills

Research skills are the capability a person carries to create new concepts and understand the use of data collection. These skills include techniques, documentation, and interpretation of the collected data. Research is conducted to evaluate hypotheses and share the findings most appropriately. Research skills improve as we gain experience.

To conduct efficient research, specific research skills are essential. These skills are necessary for companies to develop new products and services or enhance existing products. To develop good research skills is important for both the individual as well as the company.

When undertaking a research project, one must possess specific important skills to ensure the project’s success and accuracy. Here are some essential research skills that are crucial for conducting a project effectively:

Time Management Skills:

Time management is an essential research skill; it helps you break down your project into parts and enables you to manage it easier. One can create a dead-line oriented plan for the research project and assign time for each task. Time management skills include setting goals for the project, planning and organizing functions as per their priority, and efficiently delegating these tasks.

Communication Skills:

These skills help you understand and receive important information and also allow you to share your findings with others in an effective manner. Active listening and speaking are critical skills for solid communication. A researcher must have good communication skills.

Problem-Solving:  

The ability to handle complex situations and business challenges and come up with solutions for them is termed problem-solving. To problem-solve, you should be able to fully understand the extent of the problem and then break it down into smaller parts. Once segregated into smaller chunks, you can start thinking about each element and analyze it to find a solution.

Information gathering and attention to detail:

Relevant information is the key to good research design . Searching for credible resources and collecting information from there will help you strengthen your research proposal and drive you to solutions faster. Once you have access to information, paying close attention to all the details and drawing conclusions based on the findings is essential.

Research Design and Methodology :

Understanding research design and methodology is essential for planning and conducting a project. Depending on the research question and objectives, researchers must select appropriate research methods, such as surveys, experiments, interviews, or case studies. Proficiency in designing research protocols, data collection instruments, and sampling strategies is crucial for obtaining reliable and valid results.

Data Collection and Analysis :

Researchers should be skilled in collecting and analyzing data accurately. It involves designing data collection instruments, collecting data through various methods, such as surveys or observations, and organizing and analyzing the collected data using appropriate statistical or qualitative analysis techniques. Proficiency in using software tools like SPSS, Excel, or qualitative analysis software can be beneficial.

By developing and strengthening these research skills, researchers can enhance the quality and impact of their research process, contributing to good research skills in their respective fields.

Research skills are invaluable assets that can benefit individuals in various aspects of their lives. Here are some key benefits of developing and honing research skills:

Boosts Curiosity :

Curiosity is a strong desire to know things and a powerful learning driver. Curious researchers will naturally ask questions that demand answers and will stop in the search for answers. Interested people are better listeners and are open to listening to other people’s ideas and perspectives, not just their own.

Cultivates Self-awareness :

As well as being aware of other people’s subjective opinions, one must develop the importance of research skills and be mindful of the benefits of awareness research; we are exposed to many things while researching. Once we start doing research, the benefit from it reflects on the beliefs and attitudes and encourages them to open their minds to other perspectives and ways of looking at things.

Effective Communication:

Research skills contribute to practical communication skills by enhancing one’s ability to articulate ideas, opinions, and findings clearly and coherently. Through research, individuals learn to organize their thoughts, present evidence-based arguments, and effectively convey complex information to different audiences. These skills are crucial in academic research settings, professional environments, and personal interactions.

Personal and Professional Growth :

Developing research skills fosters personal and professional growth by instilling a sense of curiosity, intellectual independence, and a lifelong learning mindset. Research encourages individuals to seek knowledge, challenge assumptions, and embrace intellectual growth. These skills also enhance adaptability as individuals become adept at navigating and assimilating new information, staying updated with the latest developments, and adjusting their perspectives and strategies accordingly.

Academic Success:

Research skills are essential for academic research success. They enable students to conduct thorough literature reviews, gather evidence to support their arguments, and critically evaluate existing research. By honing their research skills, students can produce well-structured, evidence-based essays, projects, and dissertations demonstrating high academic research rigor and analytical thinking.

Professional Advancement:

Research skills are highly valued in the professional world. They are crucial for conducting market research, analyzing trends, identifying opportunities, and making data-driven decisions. Employers appreciate individuals who can effectively gather and analyze information, solve complex problems, and provide evidence-based recommendations. Research skills also enable professionals to stay updated with advancements in their field, positioning themselves as knowledgeable and competent experts.

Developing and nurturing research skills can significantly benefit individuals in numerous aspects of their lives, enabling them to thrive in an increasingly information-driven world.

Improving Your Research Skills

There are many things you can do to improve your research skills and utilize them in your research or day job. Here are some examples:

• Develop Information Literacy: Strengthening your information literacy skills is crucial for conducting thorough research. It involves identifying reliable sources, evaluating the credibility of information, and navigating different research databases.
• Enhance Critical Thinking: Critical thinking is an essential skill for effective research. It involves analyzing information, questioning assumptions, and evaluating arguments. Practice critical analysis by analyzing thoughtfully, identifying biases, and considering alternative perspectives.
• Master Research Methodologies: Familiarize yourself with different research methodologies relevant to your field. Whether it’s qualitative, quantitative, or mixed methods research, realizing the strengths and limitations of each approach is crucial.
• Practice Effective Time Management: Research requires dedicated time and effort. Develop good time management skills to ensure that you allocate sufficient time for each stage of the research process, including planning, data collection, analysis, and writing.
• Embrace Collaboration: Collaborating with peers and colleagues can provide a fresh perspective and enrich your research experience. Engage in discussions, share ideas, and seek feedback from others. Collaborative projects allow for exchanging knowledge and skills.
• Continuously Update Your Knowledge: Stay informed about your field’s latest developments and advancements. Regularly read scholarly articles, attend conferences, and follow reputable sources of information to stay up to date with current research trends.

There is plenty of information available on the internet about every topic; hence, learning skills to know which information is relevant and credible is very important. Today most search engines have the feature of advanced search, and you can customize the search as per your preference. Once you learn this skill, it will help you find information. 

Experts possess a wealth of knowledge, experience, and insights that can significantly enhance your understanding and abilities in conducting research. Experts have often encountered numerous challenges and hurdles throughout their research journey and have developed effective problem-solving techniques. Engaging with experts is a highly effective approach to improving research skills.

Moreover, experts can provide valuable feedback and constructive criticism on your research work. They can offer fresh perspectives, identify areas for improvement, and help you refine your research questions, methodology, and analysis.

At QuestionPro, we can help you with the necessary tools to carry out your projects, and we have created the following free resources to help you in your professional growth:

• Survey Templates

Research skills are invaluable assets that empower individuals to navigate the ever-expanding realm of information, make informed decisions, and contribute to advancing knowledge. With advanced research tools and technologies like QuestionPro Survey Software, researchers have potent resources to conduct comprehensive surveys, gather data, and analyze results efficiently.

Where data-driven decision-making is crucial, research skills supported by advanced tools like QuestionPro are essential for researchers to stay ahead and make impactful contributions to their fields. By embracing these research skills and leveraging the capabilities of powerful survey software, researchers can unlock new possibilities, gain deeper insights, and pave the way for meaningful discoveries.

Authors : Gargi Ghamandi & Sandeep Kokane

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How to plan a research project

Whether for a paper or a thesis, define your question, review the work of others – and leave yourself open to discovery.

by Brooke Harrington   + BIO

is professor of sociology at Dartmouth College in New Hampshire. Her research has won international awards both for scholarly quality and impact on public life. She has published dozens of articles and three books, most recently the bestseller Capital without Borders (2016), now translated into five languages.

Edited by Sam Haselby

Need to know

‘When curiosity turns to serious matters, it’s called research.’ – From Aphorisms (1880-1905) by Marie von Ebner-Eschenbach

Planning research projects is a time-honoured intellectual exercise: one that requires both creativity and sharp analytical skills. The purpose of this Guide is to make the process systematic and easy to understand. While there is a great deal of freedom and discovery involved – from the topics you choose, to the data and methods you apply – there are also some norms and constraints that obtain, no matter what your academic level or field of study. For those in high school through to doctoral students, and from art history to archaeology, research planning involves broadly similar steps, including: formulating a question, developing an argument or predictions based on previous research, then selecting the information needed to answer your question.

Some of this might sound self-evident but, as you’ll find, research requires a different way of approaching and using information than most of us are accustomed to in everyday life. That is why I include orienting yourself to knowledge-creation as an initial step in the process. This is a crucial and underappreciated phase in education, akin to making the transition from salaried employment to entrepreneurship: suddenly, you’re on your own, and that requires a new way of thinking about your work.

What follows is a distillation of what I’ve learned about this process over 27 years as a professional social scientist. It reflects the skills that my own professors imparted in the sociology doctoral programme at Harvard, as well as what I learned later on as a research supervisor for Ivy League PhD and MA students, and then as the author of award-winning scholarly books and articles. It can be adapted to the demands of both short projects (such as course term papers) and long ones, such as a thesis.

At its simplest, research planning involves the four distinct steps outlined below: orienting yourself to knowledge-creation; defining your research question; reviewing previous research on your question; and then choosing relevant data to formulate your own answers. Because the focus of this Guide is on planning a research project, as opposed to conducting a research project, this section won’t delve into the details of data-collection or analysis; those steps happen after you plan the project. In addition, the topic is vast: year-long doctoral courses are devoted to data and analysis. Instead, the fourth part of this section will outline some basic strategies you could use in planning a data-selection and analysis process appropriate to your research question.

Step 1: Orient yourself

Planning and conducting research requires you to make a transition, from thinking like a consumer of information to thinking like a producer of information. That sounds simple, but it’s actually a complex task. As a practical matter, this means putting aside the mindset of a student, which treats knowledge as something created by other people. As students, we are often passive receivers of knowledge: asked to do a specified set of readings, then graded on how well we reproduce what we’ve read.

Researchers, however, must take on an active role as knowledge producers . Doing research requires more of you than reading and absorbing what other people have written: you have to engage in a dialogue with it. That includes arguing with previous knowledge and perhaps trying to show that ideas we have accepted as given are actually wrong or incomplete. For example, rather than simply taking in the claims of an author you read, you’ll need to draw out the implications of those claims: if what the author is saying is true, what else does that suggest must be true? What predictions could you make based on the author’s claims?

In other words, rather than treating a reading as a source of truth – even if it comes from a revered source, such as Plato or Marie Curie – this orientation step asks you to treat the claims you read as provisional and subject to interrogation. That is one of the great pieces of wisdom that science and philosophy can teach us: that the biggest advances in human understanding have been made not by being correct about trivial things, but by being wrong in an interesting way . For example, Albert Einstein was wrong about quantum mechanics, but his arguments about it with his fellow physicist Niels Bohr have led to some of the biggest breakthroughs in science, even a century later.

Step 2: Define your research question

Students often give this step cursory attention, but experienced researchers know that formulating a good question is sometimes the most difficult part of the research planning process. That is because the precise language of the question frames the rest of the project. It’s therefore important to pose the question carefully, in a way that’s both possible to answer and likely to yield interesting results. Of course, you must choose a question that interests you, but that’s only the beginning of what’s likely to be an iterative process: most researchers come back to this step repeatedly, modifying their questions in light of previous research, resource limitations and other considerations.

Researchers face limits in terms of time and money. They, like everyone else, have to pose research questions that they can plausibly answer given the constraints they face. For example, it would be inadvisable to frame a project around the question ‘What are the roots of the Arab-Israeli conflict?’ if you have only a week to develop an answer and no background on that topic. That’s not to limit your imagination: you can come up with any question you’d like. But it typically does require some creativity to frame a question that you can answer well – that is, by investigating thoroughly and providing new insights – within the limits you face.

In addition to being interesting to you, and feasible within your resource constraints, the third and most important characteristic of a ‘good’ research topic is whether it allows you to create new knowledge. It might turn out that your question has already been asked and answered to your satisfaction: if so, you’ll find out in the next step of this process. On the other hand, you might come up with a research question that hasn’t been addressed previously. Before you get too excited about breaking uncharted ground, consider this: a lot of potentially researchable questions haven’t been studied for good reason ; they might have answers that are trivial or of very limited interest. This could include questions such as ‘Why does the area of a circle equal π r²?’ or ‘Did winter conditions affect Napoleon’s plans to invade Russia?’ Of course, you might be able to make the argument that a seemingly trivial question is actually vitally important, but you must be prepared to back that up with convincing evidence. The exercise in the ‘Learn More’ section below will help you think through some of these issues.

Finally, scholarly research questions must in some way lead to new and distinctive insights. For example, lots of people have studied gender roles in sports teams; what can you ask that hasn’t been asked before? Reinventing the wheel is the number-one no-no in this endeavour. That’s why the next step is so important: reviewing previous research on your topic. Depending on what you find in that step, you might need to revise your research question; iterating between your question and the existing literature is a normal process. But don’t worry: it doesn’t go on forever. In fact, the iterations taper off – and your research question stabilises – as you develop a firm grasp of the current state of knowledge on your topic.

Step 3: Review previous research

In academic research, from articles to books, it’s common to find a section called a ‘literature review’. The purpose of that section is to describe the state of the art in knowledge on the research question that a project has posed. It demonstrates that researchers have thoroughly and systematically reviewed the relevant findings of previous studies on their topic, and that they have something novel to contribute.

Your own research project should include something like this, even if it’s a high-school term paper. In the research planning process, you’ll want to list at least half a dozen bullet points stating the major findings on your topic by other people. In relation to those findings, you should be able to specify where your project could provide new and necessary insights. There are two basic rhetorical positions one can take in framing the novelty-plus-importance argument required of academic research:

• Position 1 requires you to build on or extend a set of existing ideas; that means saying something like: ‘Person A has argued that X is true about gender; this implies Y, which has not yet been tested. My project will test Y, and if I find evidence to support it, that will change the way we understand gender.’
• Position 2 is to argue that there is a gap in existing knowledge, either because previous research has reached conflicting conclusions or has failed to consider something important. For example, one could say that research on middle schoolers and gender has been limited by being conducted primarily in coeducational environments, and that findings might differ dramatically if research were conducted in more schools where the student body was all-male or all-female.

Your overall goal in this step of the process is to show that your research will be part of a larger conversation: that is, how your project flows from what’s already known, and how it advances, extends or challenges that existing body of knowledge. That will be the contribution of your project, and it constitutes the motivation for your research.

Two things are worth mentioning about your search for sources of relevant previous research. First, you needn’t look only at studies on your precise topic. For example, if you want to study gender-identity formation in schools, you shouldn’t restrict yourself to studies of schools; the empirical setting (schools) is secondary to the larger social process that interests you (how people form gender identity). That process occurs in many different settings, so cast a wide net. Second, be sure to use legitimate sources – meaning publications that have been through some sort of vetting process, whether that involves peer review (as with academic journal articles you might find via Google Scholar) or editorial review (as you’d find in well-known mass media publications, such as The Economist or The Washington Post ). What you’ll want to avoid is using unvetted sources such as personal blogs or Wikipedia. Why? Because anybody can write anything in those forums, and there is no way to know – unless you’re already an expert – if the claims you find there are accurate. Often, they’re not.

Step 4: Choose your data and methods

Whatever your research question is, eventually you’ll need to consider which data source and analytical strategy are most likely to provide the answers you’re seeking. One starting point is to consider whether your question would be best addressed by qualitative data (such as interviews, observations or historical records), quantitative data (such as surveys or census records) or some combination of both. Your ideas about data sources will, in turn, suggest options for analytical methods.

You might need to collect your own data, or you might find everything you need readily available in an existing dataset someone else has created. A great place to start is with a research librarian: university libraries always have them and, at public universities, those librarians can work with the public, including people who aren’t affiliated with the university. If you don’t happen to have a public university and its library close at hand, an ordinary public library can still be a good place to start: the librarians are often well versed in accessing data sources that might be relevant to your study, such as the census, or historical archives, or the Survey of Consumer Finances.

Because your task at this point is to plan research, rather than conduct it, the purpose of this step is not to commit you irrevocably to a course of action. Instead, your goal here is to think through a feasible approach to answering your research question. You’ll need to find out, for example, whether the data you want exist; if not, do you have a realistic chance of gathering the data yourself, or would it be better to modify your research question? In terms of analysis, would your strategy require you to apply statistical methods? If so, do you have those skills? If not, do you have time to learn them, or money to hire a research assistant to run the analysis for you?

Please be aware that qualitative methods in particular are not the casual undertaking they might appear to be. Many people make the mistake of thinking that only quantitative data and methods are scientific and systematic, while qualitative methods are just a fancy way of saying: ‘I talked to some people, read some old newspapers, and drew my own conclusions.’ Nothing could be further from the truth. In the final section of this guide, you’ll find some links to resources that will provide more insight on standards and procedures governing qualitative research, but suffice it to say: there are rules about what constitutes legitimate evidence and valid analytical procedure for qualitative data, just as there are for quantitative data.

Circle back and consider revising your initial plans

As you work through these four steps in planning your project, it’s perfectly normal to circle back and revise. Research planning is rarely a linear process. It’s also common for new and unexpected avenues to suggest themselves. As the sociologist Thorstein Veblen wrote in 1908 : ‘The outcome of any serious research can only be to make two questions grow where only one grew before.’ That’s as true of research planning as it is of a completed project. Try to enjoy the horizons that open up for you in this process, rather than becoming overwhelmed; the four steps, along with the two exercises that follow, will help you focus your plan and make it manageable.

Key points – How to plan a research project

• Planning a research project is essential no matter your academic level or field of study. There is no one ‘best’ way to design research, but there are certain guidelines that can be helpfully applied across disciplines.
• Orient yourself to knowledge-creation. Make the shift from being a consumer of information to being a producer of information.
• Define your research question. Your question frames the rest of your project, sets the scope, and determines the kinds of answers you can find.
• Review previous research on your question. Survey the existing body of relevant knowledge to ensure that your research will be part of a larger conversation.
• Choose your data and methods. For instance, will you be collecting qualitative data, via interviews, or numerical data, via surveys?
• Circle back and consider revising your initial plans. Expect your research question in particular to undergo multiple rounds of refinement as you learn more about your topic.

Good research questions tend to beget more questions. This can be frustrating for those who want to get down to business right away. Try to make room for the unexpected: this is usually how knowledge advances. Many of the most significant discoveries in human history have been made by people who were looking for something else entirely. There are ways to structure your research planning process without over-constraining yourself; the two exercises below are a start, and you can find further methods in the Links and Books section.

The following exercise provides a structured process for advancing your research project planning. After completing it, you’ll be able to do the following:

• describe clearly and concisely the question you’ve chosen to study
• summarise the state of the art in knowledge about the question, and where your project could contribute new insight
• identify the best strategy for gathering and analysing relevant data

In other words, the following provides a systematic means to establish the building blocks of your research project.

Exercise 1: Definition of research question and sources

This exercise prompts you to select and clarify your general interest area, develop a research question, and investigate sources of information. The annotated bibliography will also help you refine your research question so that you can begin the second assignment, a description of the phenomenon you wish to study.

Jot down a few bullet points in response to these two questions, with the understanding that you’ll probably go back and modify your answers as you begin reading other studies relevant to your topic:

• What will be the general topic of your paper?
• What will be the specific topic of your paper?

b) Research question(s)

Use the following guidelines to frame a research question – or questions – that will drive your analysis. As with Part 1 above, you’ll probably find it necessary to change or refine your research question(s) as you complete future assignments.

• Your question should be phrased so that it can’t be answered with a simple ‘yes’ or ‘no’.
• Your question should have more than one plausible answer.
• Your question should draw relationships between two or more concepts; framing the question in terms of How? or What? often works better than asking Why ?

c) Annotated bibliography

Most or all of your background information should come from two sources: scholarly books and journals, or reputable mass media sources. You might be able to access journal articles electronically through your library, using search engines such as JSTOR and Google Scholar. This can save you a great deal of time compared with going to the library in person to search periodicals. General news sources, such as those accessible through LexisNexis, are acceptable, but should be cited sparingly, since they don’t carry the same level of credibility as scholarly sources. As discussed above, unvetted sources such as blogs and Wikipedia should be avoided, because the quality of the information they provide is unreliable and often misleading.

To create an annotated bibliography, provide the following information for at least 10 sources relevant to your specific topic, using the format suggested below.

Name of author(s):

Publication date:

Title of book, chapter, or article:

If a chapter or article, title of journal or book where they appear:

Brief description of this work, including main findings and methods ( c 75 words):

Summary of how this work contributes to your project ( c 75 words):

Brief description of the implications of this work ( c 25 words):

Identify any gap or controversy in knowledge this work points up, and how your project could address those problems ( c 50 words):

Exercise 2: Towards an analysis

Develop a short statement ( c 250 words) about the kind of data that would be useful to address your research question, and how you’d analyse it. Some questions to consider in writing this statement include:

• What are the central concepts or variables in your project? Offer a brief definition of each.
• Do any data sources exist on those concepts or variables, or would you need to collect data?
• Of the analytical strategies you could apply to that data, which would be the most appropriate to answer your question? Which would be the most feasible for you? Consider at least two methods, noting their advantages or disadvantages for your project.

Links & books

One of the best texts ever written about planning and executing research comes from a source that might be unexpected: a 60-year-old work on urban planning by a self-trained scholar. The classic book The Death and Life of Great American Cities (1961) by Jane Jacobs (available complete and free of charge via this link ) is worth reading in its entirety just for the pleasure of it. But the final 20 pages – a concluding chapter titled ‘The Kind of Problem a City Is’ – are really about the process of thinking through and investigating a problem. Highly recommended as a window into the craft of research.

Jacobs’s text references an essay on advancing human knowledge by the mathematician Warren Weaver. At the time, Weaver was director of the Rockefeller Foundation, in charge of funding basic research in the natural and medical sciences. Although the essay is titled ‘A Quarter Century in the Natural Sciences’ (1960) and appears at first blush to be merely a summation of one man’s career, it turns out to be something much bigger and more interesting: a meditation on the history of human beings seeking answers to big questions about the world. Weaver goes back to the 17th century to trace the origins of systematic research thinking, with enthusiasm and vivid anecdotes that make the process come alive. The essay is worth reading in its entirety, and is available free of charge via this link .

For those seeking a more in-depth, professional-level discussion of the logic of research design, the political scientist Harvey Starr provides insight in a compact format in the article ‘Cumulation from Proper Specification: Theory, Logic, Research Design, and “Nice” Laws’ (2005). Starr reviews the ‘research triad’, consisting of the interlinked considerations of formulating a question, selecting relevant theories and applying appropriate methods. The full text of the article, published in the scholarly journal Conflict Management and Peace Science , is available, free of charge, via this link .

Finally, the book Getting What You Came For (1992) by Robert Peters is not only an outstanding guide for anyone contemplating graduate school – from the application process onward – but it also includes several excellent chapters on planning and executing research, applicable across a wide variety of subject areas. It was an invaluable resource for me 25 years ago, and it remains in print with good reason; I recommend it to all my students, particularly Chapter 16 (‘The Thesis Topic: Finding It’), Chapter 17 (‘The Thesis Proposal’) and Chapter 18 (‘The Thesis: Writing It’).

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Ten simple rules for good research practice

Simon schwab.

1 Center for Reproducible Science, University of Zurich, Zurich, Switzerland

2 Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland

Perrine Janiaud

3 Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland

Michael Dayan

4 Human Neuroscience Platform, Fondation Campus Biotech Geneva, Geneva, Switzerland

Valentin Amrhein

5 Department of Environmental Sciences, Zoology, University of Basel, Basel, Switzerland

Radoslaw Panczak

6 Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland

Patricia M. Palagi

7 SIB Training Group, SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland

Lars G. Hemkens

8 Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, United States of America

9 Meta-Research Innovation Center Berlin (METRIC-B), Berlin Institute of Health, Berlin, Germany

Meike Ramon

10 Applied Face Cognition Lab, University of Lausanne, Lausanne, Switzerland

Nicolas Rothen

11 Faculty of Psychology, UniDistance Suisse, Brig, Switzerland

Stephen Senn

12 Statistical Consultant, Edinburgh, United Kingdom

Leonhard Held

This is a PLOS Computational Biology Methods paper.

Introduction

The lack of research reproducibility has caused growing concern across various scientific fields [ 1 – 5 ]. Today, there is widespread agreement, within and outside academia, that scientific research is suffering from a reproducibility crisis [ 6 , 7 ]. Researchers reach different conclusions—even when the same data have been processed—simply due to varied analytical procedures [ 8 , 9 ]. As we continue to recognize this problematic situation, some major causes of irreproducible research have been identified. This, in turn, provides the foundation for improvement by identifying and advocating for good research practices (GRPs). Indeed, powerful solutions are available, for example, preregistration of study protocols and statistical analysis plans, sharing of data and analysis code, and adherence to reporting guidelines. Although these and other best practices may facilitate reproducible research and increase trust in science, it remains the responsibility of researchers themselves to actively integrate them into their everyday research practices.

Contrary to ubiquitous specialized training, cross-disciplinary courses focusing on best practices to enhance the quality of research are lacking at universities and are urgently needed. The intersections between disciplines offer a space for peer evaluation, mutual learning, and sharing of best practices. In medical research, interdisciplinary work is inevitable. For example, conducting clinical trials requires experts with diverse backgrounds, including clinical medicine, pharmacology, biostatistics, evidence synthesis, nursing, and implementation science. Bringing researchers with diverse backgrounds and levels of experience together to exchange knowledge and learn about problems and solutions adds value and improves the quality of research.

The present selection of rules was based on our experiences with teaching GRP courses at the University of Zurich, our course participants’ feedback, and the views of a cross-disciplinary group of experts from within the Swiss Reproducibility Network ( www.swissrn.org ). The list is neither exhaustive, nor does it aim to address and systematically summarize the wide spectrum of issues including research ethics and legal aspects (e.g., related to misconduct, conflicts of interests, and scientific integrity). Instead, we focused on practical advice at the different stages of everyday research: from planning and execution to reporting of research. For a more comprehensive overview on GRPs, we point to the United Kingdom’s Medical Research Council’s guidelines [ 10 ] and the Swedish Research Council’s report [ 11 ]. While the discussion of the rules may predominantly focus on clinical research, much applies, in principle, to basic biomedical research and research in other domains as well.

The 10 proposed rules can serve multiple purposes: an introduction for researchers to relevant concepts to improve research quality, a primer for early-career researchers who participate in our GRP courses, or a starting point for lecturers who plan a GRP course at their own institutions. The 10 rules are grouped according to planning (5 rules), execution (3 rules), and reporting of research (2 rules); see Fig 1 . These principles can (and should) be implemented as a habit in everyday research, just like toothbrushing.

GRP, good research practices.

Research planning

Rule 1: specify your research question.

Coming up with a research question is not always simple and may take time. A successful study requires a narrow and clear research question. In evidence-based research, prior studies are assessed in a systematic and transparent way to identify a research gap for a new study that answers a question that matters [ 12 ]. Papers that provide a comprehensive overview of the current state of research in the field are particularly helpful—for example, systematic reviews. Perspective papers may also be useful, for example, there is a paper with the title “SARS-CoV-2 and COVID-19: The most important research questions.” However, a systematic assessment of research gaps deserves more attention than opinion-based publications.

In the next step, a vague research question should be further developed and refined. In clinical research and evidence-based medicine, there is an approach called population, intervention, comparator, outcome, and time frame (PICOT) with a set of criteria that can help framing a research question [ 13 ]. From a well-developed research question, subsequent steps will follow, which may include the exact definition of the population, the outcome, the data to be collected, and the sample size that is required. It may be useful to find out if other researchers find the idea interesting as well and whether it might promise a valuable contribution to the field. However, actively involving the public or the patients can be a more effective way to determine what research questions matter.

The level of details in a research question also depends on whether the planned research is confirmatory or exploratory. In contrast to confirmatory research, exploratory research does not require a well-defined hypothesis from the start. Some examples of exploratory experiments are those based on omics and multi-omics experiments (genomics, bulk RNA-Seq, single-cell, etc.) in systems biology and connectomics and whole-brain analyses in brain imaging. Both exploration and confirmation are needed in science, and it is helpful to understand their strengths and limitations [ 14 , 15 ].

Rule 2: Write and register a study protocol

In clinical research, registration of clinical trials has become a standard since the late 1990 and is now a legal requirement in many countries. Such studies require a study protocol to be registered, for example, with ClinicalTrials.gov, the European Clinical Trials Register, or the World Health Organization’s International Clinical Trials Registry Platform. Similar effort has been implemented for registration of systematic reviews (PROSPERO). Study registration has also been proposed for observational studies [ 16 ] and more recently in preclinical animal research [ 17 ] and is now being advocated across disciplines under the term “preregistration” [ 18 , 19 ].

Study protocols typically document at minimum the research question and hypothesis, a description of the population, the targeted sample size, the inclusion/exclusion criteria, the study design, the data collection, the data processing and transformation, and the planned statistical analyses. The registration of study protocols reduces publication bias and hindsight bias and can safeguard honest research and minimize waste of research [ 20 – 22 ]. Registration ensures that studies can be scrutinized by comparing the reported research with what was actually planned and written in the protocol, and any discrepancies may indicate serious problems (e.g., outcome switching).

Note that registration does not mean that researchers have no flexibility to adapt the plan as needed. Indeed, new or more appropriate procedures may become available or known only after registration of a study. Therefore, a more detailed statistical analysis plan can be amended to the protocol before the data are observed or unblinded [ 23 , 24 ]. Likewise, registration does not exclude the possibility to conduct exploratory data analyses; however, they must be clearly reported as such.

To go even further, registered reports are a novel article type that incentivize high-quality research—irrespective of the ultimate study outcome [ 25 , 26 ]. With registered reports, peer-reviewers decide before anyone knows the results of the study, and they have a more active role in being able to influence the design and analysis of the study. Journals from various disciplines increasingly support registered reports [ 27 ].

Naturally, preregistration and registered reports also have their limitations and may not be appropriate in a purely hypothesis-generating (explorative) framework. Reports of exploratory studies should indeed not be molded into a confirmatory framework; appropriate rigorous reporting alternatives have been suggested and start to become implemented [ 28 , 29 ].

Rule 3: Justify your sample size

Early-career researchers in our GRP courses often identify sample size as an issue in their research. For example, they say that they work with a low number of samples due to slow growth of cells, or they have a limited number of patient tumor samples due to a rare disease. But if your sample size is too low, your study has a high risk of providing a false negative result (type II error). In other words, you are unlikely to find an effect even if there truly was an effect.

Unfortunately, there is more bad news with small studies. When an effect from a small study was selected for drawing conclusions because it was statistically significant, low power increases the probability that an effect size is overestimated [ 30 , 31 ]. The reason is that with low power, studies that due to sampling variation find larger (overestimated) effects are much more likely to be statistically significant than those that happen to find smaller (more realistic) effects [ 30 , 32 , 33 ]. Thus, in such situations, effect sizes are often overestimated. For the phenomenon that small studies often report more extreme results (in meta-analyses), the term “small-study effect” was introduced [ 34 ]. In any case, an underpowered study is a problematic study, no matter the outcome.

In conclusion, small sample sizes can undermine research, but when is a study too small? For one study, a total of 50 patients may be fine, but for another, 1,000 patients may be required. How large a study needs to be designed requires an appropriate sample size calculation. Appropriate sample size calculation ensures that enough data are collected to ensure sufficient statistical power (the probability to reject the null hypothesis when it is in fact false).

Low-powered studies can be avoided by performing a sample size calculation to find out the required sample size of the study. This requires specifying a primary outcome variable and the magnitude of effect you are interested in (among some other factors); in clinical research, this is often the minimal clinically relevant difference. The statistical power is often set at 80% or larger. A comprehensive list of packages for sample size calculation are available [ 35 ], among them the R package “pwr” [ 36 ]. There are also many online calculators available, for example, the University of Zurich’s “SampleSizeR” [ 37 ].

A worthwhile alternative for planning the sample size that puts less emphasis on null hypothesis testing is based on the desired precision of the study; for example, one can calculate the sample size that is necessary to obtain a desired width of a confidence interval for the targeted effect [ 38 – 40 ]. A general framework to sample size justification beyond a calculation-only approach has been proposed [ 41 ]. It is also worth mentioning that some study types have other requirements or need specific methods. In diagnostic testing, one would need to determine the anticipated minimal sensitivity or specificity; in prognostic research, the number of parameters that can be used to fit a prediction model given a fixed sample size should be specified. Designs can also be so complex that a simulation (Monte Carlo method) may be required.

Sample size calculations should be done under different assumptions, and the largest estimated sample size is often the safer bet than a best-case scenario. The calculated sample size should further be adjusted to allow for possible missing data. Due to the complexity of accurately calculating sample size, researchers should strongly consider consulting a statistician early in the study design process.

Rule 4: Write a data management plan

In 2020, 2 Coronavirus Disease 2019 (COVID-19) papers in leading medical journals were retracted after major concerns about the data were raised [ 42 ]. Today, raw data are more often recognized as a key outcome of research along with the paper. Therefore, it is important to develop a strategy for the life cycle of data, including suitable infrastructure for long-term storage.

The data life cycle is described in a data management plan: a document that describes what data will be collected and how the data will be organized, stored, handled, and protected during and after the end of the research project. Several funders require a data management plan in grant submissions, and publishers like PLOS encourage authors to do so as well. The Wellcome Trust provides guidance in the development of a data management plan, including real examples from neuroimaging, genomics, and social sciences [ 43 ]. However, projects do not always allocate funding and resources to the actual implementation of the data management plan.

The Findable, Accessible, Interoperable, and Reusable (FAIR) data principles promote maximal use of data and enable machines to access and reuse data with minimal human intervention [ 44 ]. FAIR principles require the data to be retained, preserved, and shared preferably with an immutable unique identifier and a clear usage license. Appropriate metadata will help other researchers (or machines) to discover, process, and understand the data. However, requesting researchers to fully comply with the FAIR data principles in every detail is an ambitious goal.

Multidisciplinary data repositories that support FAIR are, for example, Dryad (datadryad.org https://datadryad.org/ ), EUDAT ( www.eudat.eu ), OSF (osf.io https://osf.io/ ), and Zenodo (zenodo.org https://zenodo.org/ ). A number of institutional and field-specific repositories may also be suitable. However, sometimes, authors may not be able to make their data publicly available for legal or ethical reasons. In such cases, a data user agreement can indicate the conditions required to access the data. Journals highlight what are acceptable and what are unacceptable data access restrictions and often require a data availability statement.

Organizing the study artifacts in a structured way greatly facilitates the reuse of data and code within and outside the lab, enhancing collaborations and maximizing the research investment. Support and courses for data management plans are sometimes available at universities. Another 10 simple rules paper for creating a good data management plan is dedicated to this topic [ 45 ].

Rule 5: Reduce bias

Bias is a distorted view in favor of or against a particular idea. In statistics, bias is a systematic deviation of a statistical estimate from the (true) quantity it estimates. Bias can invalidate our conclusions, and the more bias there is, the less valid they are. For example, in clinical studies, bias may mislead us into reaching a causal conclusion that the difference in the outcomes was due to the intervention or the exposure. This is a big concern, and, therefore, the risk of bias is assessed in clinical trials [ 46 ] as well as in observational studies [ 47 , 48 ].

There are many different forms of bias that can occur in a study, and they may overlap (e.g., allocation bias and confounding bias) [ 49 ]. Bias can occur at different stages, for example, immortal time bias in the design of the study, information bias in the execution of the study, and publication bias in the reporting of research. Understanding bias allows us researchers to remain vigilant of potential sources of bias when peer-reviewing and designing own studies. We summarized some common types of bias and some preventive steps in Table 1 , but many other forms of bias exist; for a comprehensive overview, see the Oxford University’s Catalogue of Bias [ 50 ].

For a comprehensive collection, see catalogofbias.org .

Here are some noteworthy examples of study bias from the literature: An example of information bias was observed when in 1998 an alleged association between the measles, mumps, and rubella (MMR) vaccine and autism was reported. Recall bias (a subtype of information bias) emerged when parents of autistic children recalled the onset of autism after an MMR vaccination more often than parents of similar children who were diagnosed prior to the media coverage of that controversial and meanwhile retracted study [ 51 ]. A study from 2001 showed better survival for academy award-winning actors, but this was due to immortal time bias that favors the treatment or exposure group [ 52 , 53 ]. A study systematically investigated self-reports about musculoskeletal symptoms and found the presence of information bias. The reason was that participants with little computer-time overestimated, and participants with a lot of computer-time spent underestimated their computer usage [ 54 ].

Information bias can be mitigated by using objective rather than subjective measurements. Standardized operating procedures (SOP) and electronic lab notebooks additionally help to follow well-designed protocols for data collection and handling [ 55 ]. Despite the failure to mitigate bias in studies, complete descriptions of data and methods can at least allow the assessment of risk of bias.

Research execution

Rule 6: avoid questionable research practices.

Questionable research practices (QRPs) can lead to exaggerated findings and false conclusions and thus lead to irreproducible research. Often, QRPs are used with no bad intentions. This becomes evident when methods sections explicitly describe such procedures, for example, to increase the number of samples until statistical significance is reached that supports the hypothesis. Therefore, it is important that researchers know about QRPs in order to recognize and avoid them.

Several questionable QRPs have been named [ 56 , 57 ]. Among them are low statistical power, pseudoreplication, repeated inspection of data, p -hacking [ 58 ], selective reporting, and hypothesizing after the results are known (HARKing).

The first 2 QRPs, low statistical power and pseudoreplication, can be prevented by proper planning and designing of studies, including sample size calculation and appropriate statistical methodology to avoid treating data as independent when in fact they are not. Statistical power is not equal to reproducibility, but statistical power is a precondition of reproducibility as the lack thereof can result in false negative as well as false positive findings (see Rule 3 ).

In fact, a lot of QRP can be avoided with a study protocol and statistical analysis plan. Preregistration, as described in Rule 2, is considered best practice for this purpose. However, many of these issues can additionally be rooted in institutional incentives and rewards. Both funding and promotion are often tied to the quantity rather than the quality of the research output. At universities, still only few or no rewards are given for writing and registering protocols, sharing data, publishing negative findings, and conducting replication studies. Thus, a wider “culture change” is needed.

Rule 7: Be cautious with interpretations of statistical significance

It would help if more researchers were familiar with correct interpretations and possible misinterpretations of statistical tests, p -values, confidence intervals, and statistical power [ 59 , 60 ]. A statistically significant p -value does not necessarily mean that there is a clinically or biologically relevant effect. Specifically, the traditional dichotomization into statistically significant ( p < 0.05) versus statistically nonsignificant ( p ≥ 0.05) results is seldom appropriate, can lead to cherry-picking of results and may eventually corrupt science [ 61 ]. We instead recommend reporting exact p -values and interpreting them in a graded way in terms of the compatibility of the null hypothesis with the data [ 62 , 63 ]. Moreover, a p -value around 0.05 (e.g., 0.047 or 0.055) provides only little information, as is best illustrated by the associated replication power: The probability that a hypothetical replication study of the same design will lead to a statistically significant result is only 50% [ 64 ] and is even lower in the presence of publication bias and regression to the mean (the phenomenon that effect estimates in replication studies are often smaller than the estimates in the original study) [ 65 ]. Claims of novel discoveries should therefore be based on a smaller p -value threshold (e.g., p < 0.005) [ 66 ], but this really depends on the discipline (genome-wide screenings or studies in particle physics often apply much lower thresholds).

Generally, there is often too much emphasis on p -values. A statistical index such as the p -value is just the final product of an analysis, the tip of the iceberg [ 67 ]. Statistical analyses often include many complex stages, from data processing, cleaning, transformation, addressing missing data, modeling, to statistical inference. Errors and pitfalls can creep in at any stage, and even a tiny error can have a big impact on the result [ 68 ]. Also, when many hypothesis tests are conducted (multiple testing), false positive rates may need to be controlled to protect against wrong conclusions, although adjustments for multiple testing are debated [ 69 – 71 ].

Thus, a p -value alone is not a measure of how credible a scientific finding is [ 72 ]. Instead, the quality of the research must be considered, including the study design, the quality of the measurement, and the validity of the assumptions that underlie the data analysis [ 60 , 73 ]. Frameworks exist that help to systematically and transparently assess the certainty in evidence; the most established and widely used one is Grading of Recommendations, Assessment, Development and Evaluations (GRADE; www.gradeworkinggroup.org ) [ 74 ].

Training in basic statistics, statistical programming, and reproducible analyses and better involvement of data professionals in academia is necessary. University departments sometimes have statisticians that can support researchers. Importantly, statisticians need to be involved early in the process and on an equal footing and not just at the end of a project to perform the final data analysis.

Rule 8: Make your research open

In reality, science often lacks transparency. Open science makes the process of producing evidence and claims transparent and accessible to others [ 75 ]. Several universities and research funders have already implemented open science roadmaps to advocate free and public science as well as open access to scientific knowledge, with the aim of further developing the credibility of research. Open research allows more eyes to see it and critique it, a principle similar to the “Linus’s law” in software development, which says that if there are enough people to test a software, most bugs will be discovered.

As science often progresses incrementally, writing and sharing a study protocol and making data and methods readily available is crucial to facilitate knowledge building. The Open Science Framework (osf.io) is a free and open-source project management tool that supports researchers throughout the entire project life cycle. OSF enables preregistration of study protocols and sharing of documents, data, analysis code, supplementary materials, and preprints.

To facilitate reproducibility, a research paper can link to data and analysis code deposited on OSF. Computational notebooks are now readily available that unite data processing, data transformations, statistical analyses, figures and tables in a single document (e.g., R Markdown, Jupyter); see also the 10 simple rules for reproducible computational research [ 76 ]. Making both data and code open thus minimizes waste of funding resources and accelerates science.

Open science can also advance researchers’ careers, especially for early-career researchers. The increased visibility, retrievability, and citations of datasets can all help with career building [ 77 ]. Therefore, institutions should provide necessary training, and hiring committees and journals should align their core values with open science, to attract researchers who aim for transparent and credible research [ 78 ].

Research reporting

Rule 9: report all findings.

Publication bias occurs when the outcome of a study influences the decision whether to publish it. Researchers, reviewers, and publishers often find nonsignificant study results not interesting or worth publishing. As a consequence, outcomes and analyses are only selectively reported in the literature [ 79 ], also known as the file drawer effect [ 80 ].

The extent of publication bias in the literature is illustrated by the overwhelming frequency of statistically significant findings [ 81 ]. A study extracted p -values from MEDLINE and PubMed Central and showed that 96% of the records reported at least 1 statistically significant p -value [ 82 ], which seems implausible in the real world. Another study plotted the distribution of more than 1 million z -values from Medline, revealing a huge gap from −2 to 2 [ 83 ]. Positive studies (i.e., statistically significant, perceived as striking or showing a beneficial effect) were 4 times more likely to get published than negative studies [ 84 ].

Often a statistically nonsignificant result is interpreted as a “null” finding. But a nonsignificant finding does not necessarily mean a null effect; absence of evidence is not evidence of absence [ 85 ]. An individual study may be underpowered, resulting in a nonsignificant finding, but the cumulative evidence from multiple studies may indeed provide sufficient evidence in a meta-analysis. Another argument is that a confidence interval that contains the null value often also contains non-null values that may be of high practical importance. Only if all the values inside the interval are deemed unimportant from a practical perspective, then it may be fair to describe a result as a null finding [ 61 ]. We should thus never report “no difference” or “no association” just because a p -value is larger than 0.05 or, equivalently, because a confidence interval includes the “null” [ 61 ].

On the other hand, studies sometimes report statistically nonsignificant results with “spin” to claim that the experimental treatment is beneficial, often by focusing their conclusions on statistically significant differences on secondary outcomes despite a statistically nonsignificant difference for the primary outcome [ 86 , 87 ].

Findings that are not being published have a tremendous impact on the research ecosystem, distorting our knowledge of the scientific landscape by perpetuating misconceptions, and jeopardizing judgment of researchers and the public trust in science. In clinical research, publication bias can mislead care decisions and harm patients, for example, when treatments appear useful despite only minimal or even absent benefits reported in studies that were not published and thus are unknown to physicians [ 88 ]. Moreover, publication bias also directly affects the formulation and proliferation of scientific theories, which are taught to students and early-career researchers, thereby perpetuating biased research from the core. It has been shown in modeling studies that unless a sufficient proportion of negative studies are published, a false claim can become an accepted fact [ 89 ] and the false positive rates influence trustworthiness in a given field [ 90 ].

In sum, negative findings are undervalued. They need to be more consistently reported at the study level or be systematically investigated at the systematic review level. Researchers have their share of responsibilities, but there is clearly a lack of incentives from promotion and tenure committees, journals, and funders.

Rule 10: Follow reporting guidelines

Study reports need to faithfully describe the aim of the study and what was done, including potential deviations from the original protocol, as well as what was found. Yet, there is ample evidence of discrepancies between protocols and research reports, and of insufficient quality of reporting [ 79 , 91 – 95 ]. Reporting deficiencies threaten our ability to clearly communicate findings, replicate studies, make informed decisions, and build on existing evidence, wasting time and resources invested in the research [ 96 ].

Reporting guidelines aim to provide the minimum information needed on key design features and analysis decisions, ensuring that findings can be adequately used and studies replicated. In 2008, the Enhancing the QUAlity and Transparency Of Health Research (EQUATOR) network was initiated to provide reporting guidelines for a variety of study designs along with guidelines for education and training on how to enhance quality and transparency of health research. Currently, there are 468 reporting guidelines listed in the network; see the most prominent guidelines in Table 2 . Furthermore, following the ICMJE recommendations, medical journals are increasingly endorsing reporting guidelines [ 97 ], in some cases making it mandatory to submit the appropriate reporting checklist along with the manuscript.

The EQUATOR Network is a library with more than 400 reporting guidelines in health research ( www.equator-network.org ).

The use of reporting guidelines and journal endorsement has led to a positive impact on the quality and transparency of research reporting, but improvement is still needed to maximize the value of research [ 98 , 99 ].

Conclusions

Originally, this paper targeted early-career researchers; however, throughout the development of the rules, it became clear that the present recommendations can serve all researchers irrespective of their seniority. We focused on practical guidelines for planning, conducting, and reporting of research. Others have aligned GRP with similar topics [ 100 , 101 ]. Even though we provide 10 simple rules, the word “simple” should not be taken lightly. Putting the rules into practice usually requires effort and time, especially at the beginning of a research project. However, time can also be redeemed, for example, when certain choices can be justified to reviewers by providing a study protocol or when data can be quickly reanalyzed by using computational notebooks and dynamic reports.

Researchers have field-specific research skills, but sometimes are not aware of best practices in other fields that can be useful. Universities should offer cross-disciplinary GRP courses across faculties to train the next generation of scientists. Such courses are an important building block to improve the reproducibility of science.

Acknowledgments

This article was written along the Good Research Practice (GRP) courses at the University of Zurich provided by the Center of Reproducible Science ( www.crs.uzh.ch ). All materials from the course are available at https://osf.io/t9rqm/ . We appreciated the discussion, development, and refinement of this article within the working group “training” of the SwissRN ( www.swissrn.org ). We are grateful to Philip Bourne for a lot of valuable comments on the earlier versions of the manuscript.

Funding Statement

S.S. received funding from SfwF (Stiftung für wissenschaftliche Forschung an der Universität Zürich; grant no. STWF-19-007). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Search form

Research and innovation menu, research and innovation, research skills development.

Willison & O’Regan (2007) believe that the development of research skills occurs on a continuum of knowledge production, from that which is new to the learner to fringe research that is new to everyone, or to move from “the commonly known, to the commonly not known, to the totally unknown.” (p. 394). From this perspective, they developed a  Research Skills Development Framework   that outlines six facets of research and describes how each skill/activity manifests along a continuum based on the level of student autonomy:

Key Terms*:

• Prescribed Research –  highly structured directions and modeling from faculty
• Bounded Research –  boundaries set by and limited directions from faculty
• Scaffolded Research –  scaffolds placed by faculty shape the students’ research
• Student-initiated Research –  student-initiated research under the guidance of a faculty member
• Open Research –  independent student research that is guided by disciplinary standards

* Please see the  RSD Framework  for a full description.

The Research Skills Development Framework is useful as both a conceptual and planning tool as well as an assessment mechanism.  It can be used to develop course and program activities that are appropriate for the level of research being conducted, it can help clarify learning outcomes, develop assessment measurements, and  track student progress and development.

Equipped with an understanding of student development and research skills development, one can begin to conceptualize and plan undergraduate research activities that best suit the characteristics of the student population you are working with and/or the students that you are targeting to conduct research with – whether it be in a course or extra-curricular activity.

Next – Strategies 

• Willison, J.W. & O’Regan, K. (2007). Commonly known, commonly not known, totally unknown: A framework for students becoming researchers.  Higher Education Research and Development , 26, 393-409.

Mentoring Undergraduate Research Directory

Research Skills Framework

Craft skill index (47 patterns).

HIGH LEVERAGE

Strategic direction:, product & design strategy, user needs inception, product roadmap, amplify the practice:, public project index, research training, stepping stone, business alignment:, front-line collaboration, customer advisory council, integration in service delivery:, cadenced user studies, design sprint, development cycle coupling, research-driven design project, always necessary, broadcasting:, research evangelization, effective reporting, high impact, structured modeling:, jobs to be done, user personas, journey map, service blueprint, stakeholder engagement:, stakeholder assumption workshop, stakeholder interview, report development, conceptual model, sensemaking workshop, exploratory qualitative analysis, exploratory research, basic quantitative work:, surveys & questionnaires, product analytics, exploratory quantitative analysis, core craft mechanics, interview planning & execution:, interview protocol, experience sample / diary study, field interview, user interview, participant segments & screening, actionable research question, foundational, debrief & analysis:, affinity map, video analysis, interview debrief, product foundations, evaluative testing:, bug & defect tracking, concept test, information architecture study, usability test, heuristic analysis, coordination & data management, well-managed data, data capture, participant recruiting & coordination.

Follow-Through

Human skill index (13 skills).

Mindful Work & Reflection

Interviewing manner, team, project, project management & ownership, product, service, service conceptual understanding, research process management, cross-functional partnership, organizational, business unit, org., organizational evangelism, business & strategy insight, participatory, practice, program, workshop facilitation, interpersonal relationships, presentation & storytelling, stakeholder management & communication, professional, community of practice, professional relationships.

Institute for Employment Research National Guidance Research Forum

Developing your research skills.

Developing Your Research Skills

Contribution from Jenny Bimrose, Warwick Institute for Employment Research (2003).

The following materials provide an introduction to some key issues for designing and progressing a research project in guidance through to successful completion.

Links to subsections: Contents

STAGE 1: Identifying a research need within a guidance (or related) context

Stage 2: reading for research, stage 3: selecting appropriating methods and procedures, stage 4: research models, traditions and approaches, stage 5: writing a research report.

Bibliography

Research in Practice website

Harvard Reference Style

This section will help you plan your research project.

1.1 Introduction

To carry out research, you will need to carry out a variety of tasks. Robson (1993:pxvii) identifies the main ones as:

deciding on the focus; developing the research question(s); choosing a research strategy; selecting the method(s); arranging the practicalities; collecting the data; preparing for, and carrying out analysis; reporting what you have found; and possibly acting on your findings There is no shortage of advice in books on how to approach your research (see the References and Bibliography sections - though, please note, that there are many other standard texts which contain the same type of general information). It is worth spending time reviewing the advice and suggestions contained in a selection of these texts, since learning from the experience of the experts who have written these texts can often save you time and effort in the longer term.

1.2 Objective: stage 1

The first stage in conducting successful research involves identifying a realistic and achievable research need which is relevant to your professional area, then undertaking some initial planning of your project.

By the end of this stage of your research project, you should have:

gathered and selected information from a variety of sources which is appropriate to your broad area of interest; synthesised this information to identify a research need; identified constraints associated with your chosen research focus together with possible solutions to potential problems they represent; considered likely trends related to the prospective research area; written a brief research proposal outlining your ideas for research (see 1.8 below).

1.3 Keeping a research diary

It is usual for initial ideas to change as you become more and more involved with the process of research. Because of this, it is worth keeping some informal notes about your progress, like a personal diary, which keeps a reasonably accurate record of key issues. These could include:

how and why you selected the particular focus for your study; difficulties anticipated and actually encountered; how and when difficulties are overcome; sources of inspiration; thoughts and feelings; insights and anxieties; critical turning points, etc. To ensure you do actually keep a diary, it’s important to select an approach to keeping a diary with which you feel comfortable. A small notebook would suffice or, alternatively, Blaxter et al (1996) suggest that diaries can also be kept on tape or a word processor. Whichever method of recording your choose, try to keep it readily accessible, so that ideas can be jotted down as and when they arise.

1.4 Models of research process

‘A rationale for the methods used to gather and process data, in what sequence and on what samples, taken together, constitutes a research methodology.’ Cryer, 1996: 45

The task of carrying out a research inquiry is complicated by the fact that there is no consensus about the way this should be done (Robson, 1993). A fundamental difference relates to the sequence and relationship of activities involved. One model says that you collect all the data before analysing it. One other model requires that data collection and analysis are intertwined. Another difference relates to views about the role of theory. Such differences can be categorised into two main traditions: quantitative (positivist, natural-science based, hypothetico-deductive) and qualitative (interpretative, ethnographic). The implications of adopting one as opposed to the other of these models are discussed later (4.5 and 4.6 below). However, whichever of these approaches (or combination of approaches) you decide to adopt, you will still need to develop your focus at an early stage of your research.

1.5 Selecting a topic

If you are reading this information, it is likely that you already have one (maybe several) idea(s) or a particular area of interest that you would like to research. To help you make your final selection, try to find out just how much has been written each topic. You probably won't have time to read extensively on each topic, so using a library catalogue can be a useful way of identifying relevant material. For example, try the catalogue linked to the careers library that can be accessed through this Forum). Additionally, talk to colleagues and others who might be interested. Discussing ideas about possible topics and the associated problems is an essential part of planning your research. Views may differ from (even conflict) with your own and you may be able to identify alternative approaches as a result of this process. For example, colleagues may be aware of sensitive aspects of certain topics that could cause difficulties at some stage. Use the discussion facility of the Forum to test out your ideas. If you are hoping to carry out research in your own employing organisation, early consultation with relevant individuals is essential to avoid later difficulties.

In selecting a topic, there is often a tendency to be over-ambitious. With limited resources (including time) at your disposal it’s important to prepare the ground carefully. Discussions and inquiries will help you select a topic which is likely to be of interest, which you have a good chance of completing and which may well have some practical application in a guidance context.

1.6 Ethical considerations

At a very early stage of your preparations to carry out research it is vital that you give serious thought to the ethical aspects of the enquiry you are proposing. Ethics refers to rules of conduct, and adopting an ethical approach involves conformity to a code or set of principles. Ethical problems can start at the very beginning of study. Some issues, which may be relevant to your research, are identified by Robson (1993:31):

Do individuals have the right not to take part? Even if they do, are there any overt or covert penalties for non-participation (e.g. 'it will look good on your reference if you have taken part in this study'). Do they know what they are letting themselves in for? Is their consent fully informed? Will individuals participating be protected, not only from any direct effects of the intervention, but also by the investigator ensuring that the reporting of the study maintains confidentiality? Is confidentiality always appropriate? If people have done something praiseworthy and put extra effort and time, should they get credit for this? Conversely, if inefficiency or malpractice is uncovered in your study, should the guilty ones be permitted to hide? What responsibility do investigators have for the knowledge they have acquired? Should those undertaking applied research target their knowledge and take responsibility for the consequences? These are just some examples. Each needs careful thought for your particular situation. Robson (1993: 32) lists ten questionable practices in social science research, relevant to a guidance context. These are:

Involving people without their knowledge or consent. Coercing them to participate. Withholding information about the true nature of the research. Otherwise deceiving the participant. Inducing them to commit acts diminishing their self-esteem. Violating rights of self-determination (e.g. in studies seeking to promote individual change). Exposing participants to physical or mental stress. Invading their privacy. Withholding benefits from some participants (e.g. in comparison groups). Not treating participants fairly, or with consideration, or with respect. He goes on to identify ethical principles relevant for 'action research' - one approach that you may choose to adopt, relevant to a guidance context, characterised by a collaborative effort between researcher and 'researched'. Ethical guidelines for this type of research emphasise the need for negotiation and involvement in the research process. These include:

Observe protocol: Ensure that the relevant persons, committees and authorities have been consulted and informed and that the necessary permission and approval has been obtained. Involve participants: Encourage those who have a stake in the improvement you envisage, shape the form of the work. Negotiate with those affected: Remember that not everyone will want to be directly involved. Your research should respect this. Report progress: Keep the work visible and remain open to suggestions to that both anticipated and unanticipated developments can be dealt with. All involved must have the opportunity to raise concerns with you. Negotiate descriptions of people's work. Always allow those described in your research to challenge your accounts on the grounds of fairness, relevance and accuracy. Negotiate reports for various levels of release. Different audiences demand different levels of reports. 1.7 Planning your research project

Bell (1993:23) provides a useful checklist for planning your project, which identifies the following stages:

Draw up a short list of topics; Select a broad topic for investigation; Refine the precise focus of the study; Decide on the aims and objectives; Draw up an initial project outline; Read enough to ensure you’re on the right lines; Devise a timetable to enable you to check that all stages will be covered and time allowed for writing. By the time you have completed all of these planning phases, you will be ready to write your Research Proposal.

1.8 Research proposal

It is good practice to produce a brief research proposal after your preliminary investigations. This need not be long or complicated, but helps order thoughts and organise subsequent action. It is also good preparation for when you may wish to submit a formal application for funding for research. It should include:

a statement of the research (including, aims and objectives), sources to be examined and identification of any potential ethical issues; a provisional timetable for carrying out the research and writing the report; a rationale for the research, which identifies probable outcomes (what you hope to achieve); a provisional outline of your research report, which can be expanded as your research progresses. Cryer (1996:51) identifies some examples of research outcomes, which are relevant to a guidance context:

A new product e.g. a book, a video, worksheets, etc. A development of or an improvement on something that already exists. A new theory. A reinterpretation of an existing theory. A new research tool or technique. A new model or perspective. An in-depth study. A critical analysis e.g. an analysis of the effects of a particular policy. A collection of general findings or conclusions.

Once you have written your research proposal, you are ready to move on to second stage of your research.

This section will help you focus on identifying and managing the reading materials for your research project.

2.1 Introduction

Carrying out any worthwhile research project will involve a significant amount of reading. The purpose of research is to extend and develop knowledge and understanding. Reading is an integral part of this process. Reading for research in guidance will probably involve reviewing or refreshing your current knowledge base (e.g. theories on which practice is based) as well as undertaking new reading. The types of skills required with reading for research (e.g. how to read, deciding what to read, how to interpret your reading) can be a source of anxiety, so the following sections have been designed to support and/or develop these skills.

2.2 Objective: stage 2

By the end of the second stage of your research you will be able to:

communicate effectively and clearly with others in the discipline area; develop information storage and retrieval strategies; develop skills relevant to library and resource use; develop skills relating to the organisation of reading, research time and tasks; use information to construct a rationale for your research project. 2.3 Information storage and retrieval strategies

For successful research, you will need to be familiar with the sound methods of keeping records and making notes. Whilst locating information for the first time can be difficult, re-locating it can be even more of a problem unless you have developed systematic record-keeping procedures. As well as keeping a record of useful sources, you should also keep a record of sources that proved to be of no interest (and why) to save valuable time later if you come across the same reference again. Remember that for all your sources, you need to record sufficient information for constructing your bibliography (see 2.7 below).

A number of texts on research suggest adopting a card index system (e.g. Bell, 1993 and Cryer, 1996). The merits of using different size cards are discussed (e.g. to contain more or less information) and the potential for keeping cards for various sources in different sections (e.g. cards on books in one section, cards on articles in another, etc.). Other methods could include using part of your 'Research Diary' (see 2.3 above), or using a computer to develop systems of recording.

Adopting a system may prove challenging because breaking off from reading an interesting report, article or chapter to record the necessary details requires a good deal of self-discipline – especially when you’re working under pressure. It is, however, worth persevering since your recording system will undoubtedly be a key feature of producing a high quality research report.

2.4 Reading for research

You may already have been involved in research connected with your professional role and this may have been undertaken without much direct reading (e.g. if you have been involved in administering questionnaires on someone's behalf). However, for research requiring more in-depth involvement, reading is essential since it will both be stimulated and informed by the knowledge acquired by your reading. Blaxter et al (1996:94) usefully suggest that reading should be undertaken at different stages of your research and for different purposes, as follows:

At the beginning of your research: to check what other research has been done, to focus your ideas and to explore the context for your project. During your research: to keep you interested and up to date with developments, to help you better understand the methods you are using and the field you are researching, and as a source of data. After your research: to see what impact your own work has had and to help you develop ideas for further research projects. Purposes of reading for your research are to familiarise yourself with:

research which has been undertaken on topics similar to your own; research methods being applied in ways which are similar to your own plans; accounts of the context relating to your project 2.5 Potential difficulties

One common difficulty is getting hold of relevant books, reports or journal articles. The careers library which can be accessed through this website, is one obvious source of relevant materials. However, remember that there is often competition for popular and scarce resources, so careful planning may be necessary to ensure you manage to access key texts for your research when you need them. It may also be necessary to negotiate access to libraries near to where you live. Local libraries can be very helpful - ordering specialist books on request – and you may be lucky enough to live near a University library, which often allow access to researchers. Wherever you access literature, you probably need to give some careful thought and planning to how and when you will access the material you wish to read.

Apart from libraries, you will need to use a wide variety of other sources for your reading. Your employer, colleagues, supervisors, friends, relations - even clients and research subjects - can prove to be a rich source of relevant material. The Internet can also produce relevant information and can be invaluable for identifying and locating possible material.

Blaxter et al (1996) identify four common concerns about reading for research:

the volume of literature: how do you get to grips with this? the variety of literature: how do you go about using the vast range of sources available? lack of boundaries: how do you decide which areas of literature are relevant? conflicting arguments: how do you assess and evaluate competing explanations? If you can identify with any, or all, of these concerns it is probably worth spending some time developing strategies for reading for research. Again, a number of texts that are readily available provide helpful hints on dealing with these sorts of problems. Some of these are summarised next.

2.6 Basic reading strategies

What to read Read as much as possible from as many sources as possible - books, journals, computer-based materials, reports, the popular media (daily and weekly press, magazines), memos, minutes, internal reports and even letters.

Remember that, even though it is important to be as up-to-date as possible, this does not preclude older sources like classic texts. Edited texts and literature reviews are also particularly useful for research purposes. The careers library accessed through this website is a rich source of this type of material since it contains historical collections of guidance materials. They can provide invaluable overviews of an area as well as excellent introductions to an area – though try to balance these with references to original materials where possible. Methodological accounts are also valuable sources.

Make sure you understand the extent to which the texts that you are using make use of original data:

primary sources: contain original data; secondary sources: contain discussions and interpretations of data, in which the author typically argues for a particular point of view; tertiary sources: presents information and references to the sources of that information. It’s best to try to draw from a mix of sources for your research report.

Making selections Familiarise yourself with key texts relevant to your research topic and then supplement with a broader, but selective, reading around the topic. Develop a selective approach by, for example:

Taking advice from available sources: for example from your colleagues or manager at work. Use the discussion section of this website under different section headings (e.g. Equal Opportunties; Improving Practice; Impact Analysis). Locating books or journals that appear relevant in a careers library by asking, browsing or using a catalogue. Keyword searches on computer-based catalogues are very useful. Following up interesting references from your original sources. Identifying key texts by noting those that are referred to repeatedly. Selective reading If you haven’t already done so, you will need to develop the skill of selective reading because you will not have time to read thoroughly all the written sources with which you need to be familiar. The following tips can help develop this skill:

record the author(s), title, publisher and date of the book, report or articles. Keep this safely and any notes you make on the content; look for an introduction, concluding chapter, abstract or executive summary. If it exists, read quickly, scanning the contents. If the book or report has a cover, the information printed there can be useful; with books and reports, look for the contents page. Identify any chapters that you think may be of particular relevance and focus on them, again starting from the introduction and/or conclusion. You can find your way through a chapter or section by using the sub-headings; in the text itself, key points will often be highlighted, or in the first or last paragraphs. Similarly, the first and last sentences of paragraphs are often used to indicate and summarise their contents. Remember - you should be able to understand the key points of a book or article in no more than five minutes. This should enable you to decide you need go no further, or decide which parts of the book or article you need to read in depth.

Critical reading This requires careful examination of what others have written (or said) on a particular subject. It is a difficult skill to develop but important for successful research. The types of questions you will need to ask as you are reading: does the author present convincing arguments or evidence to support assertions? Is information easy to find? Are the views expressed consistent? Are clear distinctions made between fact and opinion?

Blaxter et al (1996:106) suggest that critically sound sources:

go beyond mere descriptions by arguing their position - making a personal response to what has been written; relate different writings to each other, indicating their differences and contradictions, and highlighting what they are lacking; do not take what is written at face value; are explicit about the values and theories which inform and colour reading and writing; view research writing as contested terrain, within which alternative views and positions may be taken up; show an awareness of the power relations involved in research, and of where writers are coming from; use a particular language (e.g. the author asserts, argues, states, concludes or contends). 2.7 Referencing

There are several acceptable ways of recording sources and other information. The Harvard method is a common method that has various advantages. For example, it avoids footnotes and all sources mentioned appear at the end of your dissertation rather than at the end of each chapter. When sources are referred to in the text, only the name(s) of author(s) and year of publication appear. Even though there are different styles of referencing, they will probably contain the information identified below.

Books For all books you wish to include in your Bibliography, you will need the following information:

Author's surname and initials Year of publication (in brackets) Title (underlined) Edition, if relevant (in brackets) Place of publication Name of publisher

For example: Hodkinson, P., Sparkes, A.C. & Hodkinson, H. (1996) Triumphs and Tears: young people, markets and the transition from school to work, London, David Fulton Publishers.

References in the text should be given as follows:

Smith and Brown (1998:175) or (Smith and Brown, 1998:175)

Where there are three or more authors, only give the name of the first:

Smith et al. (1997:203) or (Smith et al., 1997:203)

When an author has published two or more items in one year, the references should be distinguished by:

Smith (1996a) Smith (1996b) and so on.

Where more than one reference has to be given at a single point in the text, they should be listed chronologically:

Brown (1986:47), Jones (1992:106) and Kaput (1997:427)

Articles and Chapters in Books quote the following:

Author's surname and initials Year of publication (in brackets) Title (in inverted commas or italics) Source of journal or book, that is: ~ Title of journal or book (underlined) ~ Volume number, issue and page numbers in journals

For example: Savickas, M.L. (1995) Current Theoretical Issues in Vocational Psychology: Convergence, Divergence, and Schism in Walsh, W.B. and Osipow, S.H. Handbook of Vocational Psychology: Theory, Research and Practice, (2nd ed) Mahwah, New Jersey: Lawrence Erlbaum Associates.

Articles in Journals quote the following:

Author's surname and initials Year of publication Title (inverted commas or italics) Title of journal (underlined) Volume number, issue and page numbers

For example: Betz, N.E., Harmon, L.W. & Borgen, F.H. (1996) The Relationships of Self-Efficacy for the Holland Themes to Gender, Occupational Group Membership, and Vocational Interests in Journal of Counseling Psychology, 43, 1, p90-98.

Citing Web Pages As with printed references, the title should be either in Italics or underlined. Note that round brackets are used for (year) and (edition). Where there is no year given on the web material, your would record this as (no date).

Note also that square brackets are used for [medium] and [access date]. The access date is the date you last accessed that reference. This is important, given the volatility of web material, because it offers some indication of the currency of the reference. Without your access date, there might be no intention of how old the material is.

Author/editor. (Year). Title (edition).[Type of medium].Producer (optional). Available Protocol (if applicable):Site/Path/File[Access date].

For example: Equal Opportunities Commission (2003) ‘The Development of Gender Roles in Young Children’. [Online]. Available: http://www.eoc.org.uk/PDF/gender_roles.pdf [2003, May 22].

Whichever method you select for your Bibliography and referencing, remember that it is important to be consistent.

This section will help you to decide how to collect the evidence you require for your research project.

3.1 Introduction

Once you have decided on a research topic, you will be able to decide how to collect the evidence you require. This section will be concerned with general issues associated with the selection of methods and appropriate procedures for the project.

3.2 Objectives: stage 3

By the end of this stage of your research project, you will be able to:

identify appropriate criteria by which to judge the validity of a guidance project; approximate and estimate time involved, necessary materials and the quantities in which they are required, costs of the research, etc.; identify design principles relevant to the chosen research area; identify the major issues or problems in the specific research area; demonstrate the ability to re-formulate research design in response to unexpected circumstances; synthesise material, evidence and arguments to select appropriate methods and procedures for the project. 3.3 Validity, Reliability and Relevance

When judging the quality of any research, reliability, validity and relevance are important.

The validity of research refers to the credibility of the results. Has the research actually done the things it claims to do? Does an item measure or describe what it is supposed to measure or describe? In considering these issues, it needs to be acknowledged that discussions about validity provoke controversy amongst researchers. Some have rejected the concept of validity as inapplicable since it implies the possession of knowledge that is absolutely certain and, in this sense, knowledge can never be certain. McLeod (1999) argues that the concepts of validity and reliability that have been developed for use in quantitative research can’t be applied in the same way in qualitative studies. Nevertheless, in deciding the value of our own and other research, we need to be able to make reasoned judgements about it as a new contribution to knowledge.

Measuring the extent of validity can become extremely involved and there are different levels at which the question of validity can be considered. Put simply, if your research is valid, then you are observing, identifying or measuring what you say you are. A rough guide would be to ask the question: ‘would another researcher using my research instrument get the same responses?’ Additionally, ask other people whether the questions or items you have devised are likely to achieve what you want. Three different aspects of validity are discussed below:

Plausibility:

How plausible is this claim: that is, do we judge it to be likely to true, given our existing knowledge? Some claims may be so plausible that we can reasonably accept them at face value without needing to know anything else.

Credibility:

Does it seems likely that the researcher's judgement of matters relating to the claim is accurate, given the nature of the phenomena concerned, the circumstances of the research, the characteristics of the researcher, etc.?

Where a claim is neither sufficiently plausible, nor sufficiently credible, then we require evidence. When examining the evidence, we need to employ much the same means to assess its validity as we applied to the claim itself (plausibility and credibility) - and may require even more evidence!

McLeod (1999:101) outlines nine criteria suitable for evaluating the validity of qualitative research, which include:

Sufficient contextualisation of the study: Since qualitative research is more concerned with developing knowledge that is relevant and useful at particular times and places, it is necessary to contextualise the study in its historical, social and cultural location.

Credibility of the researcher (reflexivity):A reflexive account of internal processes of research, covering, for example, how contact was made with informants, issues of trust and rapport, how mistakes and misconceptions were dealt with, whether there was agreement over goals and tasks.

Catalytic validity: Defined as the degree to which the research process reorients, focuses and energies participants. Implicit in this is the idea that research should empower those who take part in it.

McNiff (1992) discusses the issue of validity in relation to action research, and distinguishes three types: 1) self validation, 2) peer validation and 3) learner validation. Action research is an approach that often has particular appeal to researchers working on issues related to professional practice. Because much of what McNiff (1992) discusses is applicable to a careers guidance and counselling context, a summary of some of the points she makes on validity follows.

Self-validation: If you are researching within the broad area of guidance and counselling, you are likely to be involved in interpreting your own practice and in making decisions about improving it. The implication of self-validation in this context refers to the potential of these interpretations of your own practice being recognised. McNiff (1992:133) discusses how certain criteria justify an individual's claim to knowledge. They include:

Practice as a realisation of values: where guidance and counselling research starts with a declaration (spoken or written) of values – for example, 'my clients have a right to self-determination'. Often the research inquiry is stimulated because those values are being denied in practice. If clients are being denied the service you think they deserve, this is where a cycle of imagined solutions, implementation, observation, evaluation, re-planning is enacted. Intentional critical reflection: where research inquiry occurs as a result of critical reflection, a desire to explore an intuitive understanding of practice and communicate it to others. Disciplined enquiry: where a researcher demonstrates publicly that s/he has followed a system of disciplined enquiry in arriving at a hypothesis. Personal interpretation as a basis for dialogue: where individuals recognise the potential in their interpretations of their own practice. Peer validation: This relates to the notion that a claim to knowledge or expertise derived from practice must be validated externally. It is the process whereby your findings are made available to and scrutinised by others who can agree that these findings are of interest and could be useful to their own practice. This external validation can come from a number of sources, including colleagues, manager or supervisor, the wider guidance and counselling community, other students, etc. Peer validation can be effective in moving your ideas forward. Questions may be asked which provide new insights and ways of thinking about your research, and invariably you will gain more confidence to progress your research from the process of peer validation.

Client validation: It is particularly useful to get the reactions of the clients themselves. This may be presented in short, written statements, recordings (tape or video), reports, etc. For example, data about the use of labour market information by guidance practitioners could be collected during focus group discussions. This could be written up into a report that was circulated to the practitioners who were asked to validate the accuracy of the reports. The findings could then be circulated more widely to the guidance community who are asked to comment on the relevance of these findings to their own experiences. This represents a powerful chain of validation.

Overall, validation of research findings in a guidance and counselling or related context is likely to involve the development of self-knowledge followed by a genuine attempt to share that knowledge with others.

Reliability

Whatever procedure is used for collecting data for research, it should always be examined critically to assess to what extent it is likely to be reliable, as well as valid. Reliability is the extent to which a test or procedure produces similar results under constant conditions on all occasions. Bell (1993:65) suggests two questions to ask yourself when checking items on a questionnaire or interview schedule you may devise to collect data. They are:

would two interviewers using the schedule or procedure get a similar results? would an interviewer obtain a similar picture using the procedures on different occasions? There are a number of devices for checking reliability in scales and tests. For example:

test-retest method: administering the same test some time after the first; alternate forms method: where equivalent versions of the same items in the test are given and results correlated; split-half method: where the items in the test are split into two matched halves and scores then correlated. These methods are not always feasible or necessary, and there are disadvantages and problems associated with all three. Such mechanisms are not usually necessary unless you are attempting to produce a test or scale. The check for reliability will come at the stage of wording questions and piloting your research instrument(s).

A third criterion for judging research in the area of guidance and counselling is relevance. Since the purpose of any research inquiry is to extend knowledge and understanding, it follows that this must be communicated to a wider audience. When we communicate with people, they assume that we are telling them something that is likely to be of significance to them. It follows that what is communicated should be relevant in some way to the chosen audience. Who are the appropriate audiences for your research and what sort of relevance should your research have for them? Audiences for research reports vary. If you are undertaking a research project within your employing organisation, its primary audience is likely to be members of that organisation. Additionally, your research findings should have some relevance to other audiences. These may include other researchers, a particular practitioner audience or even a more general audience. Whatever audience(s) you select as your target(s), you will need to consider two aspects of the relevance of your research:

importance of the topic: must relate to an issue of importance to the intended audience; contribution to existing: must add something to our knowledge of the issue to knowledge which they relate. Research that merely confirms what is already beyond reasonable doubt makes no contribution to the existing knowledge base. 3.4 Access

No researcher can demand access to an institution, an organisation or to materials. People will be doing you a favour if they agree to help, and will need to know exactly what they will be asked to do, how much time they will be expected to give and what use will be made of the information they provide. They will have to be convinced of your integrity and of the value of your research before they decide whether or not to cooperate. Bell (1993:58) provides a useful checklist of points to consider when negotiating access, including:

Clear official channels by formally requesting permission to carry out your research as soon as you have an agreed project outline. Speak to the people who will be asked to co-operate. Maintain strict ethical standards at all times. Submit the project outline to the principal, senior staff member. Decide what you mean by anonymity and confidentiality. Decide who will receive a copy of the report and/or see drafts of interview transcripts. Inform participants what is to be done with the information they provide. Prepare an outline of intentions and conditions under which the study will be carried out to hand to participants. Be honest about the purpose of the study and about the conditions of the research. Remember that people who agreed to help are doing you a favour. Even when strict protocol is adhered to, things can go wrong. Blaxter et al identify the following strategies to consider if access is denied (1996:144):

approach other individuals. If one person refuses to be interviewed or answer a questionnaire, try approaching another person in a similar position or sharing similar characteristics; approach another institution; approach another individual within the same institution (more risky because of possible communication with the institution); try again later, when people are less busy. Attitudes may have changed, people may have moved on, and you may have more to show to demonstrate the value of your research; change your research strategy. This is probably something you should be prepared to do, and plan for, throughout the research process. It may involve using other, perhaps less sensitive, methods for collecting data, or focusing on a slightly different set of issues, or studying alternative groups or organisations. 3.5 Managing your research project

Constraints operate on any research process. This section discusses time and costs, as well as identifying some others which may well be relevant for the type of research you are planning.

Inevitably, the nature and extent of your data collection will be constrained by your access to various resources – in particular time. Whatever the competing demands for your time and attention, it is important to think about what strategies you need to develop to manage the new demands of your research project in parallel with all the established demands.

A key strategy for managing your time effectively is to be realistic, initially, about the methods you are going to use to collect data and the amount of data needed. One common problem with new researchers is over-ambition. Since it’s likely that you will have a limited timescale to complete and write up your research, it follows that the methods you select will have to be informed by these (and other) considerations. For example, time available will limit the amount of any cross-checking you can undertake, and the size of your research sample.

The costs of research can mount up, so it is advisable to undertake a rough costing of the methods of data collection and analysis that you have considered to make sure they are affordable. The process of costing research activities will be very useful if you are, at any stage of your professional career, ever likely to apply for research funding. For applications for external funding, a detailed costing has to be submitted, and if successful, it is likely that you will have to adhere fairly closely to the original costing submitted.

The costs of your research project could include:

travel costs to your research sites and/or libraries; costs of consumables, such as paper, tapes, batteries, etc.; equipment purchase or hire costs (e.g. word processor, tape recorder, software); book, report and journal purchases; photocopying, printing and binding costs; postage and email/telephone costs. Other constraints

In addition to time and costs, there are bound to be other constraints you need to take into account when designing your research: for example, the willingness of people to be interviewed or observed. If you need to observe meetings or training sessions, you will be limited by the schedule of meetings or training events that will take place during the data-collection phase of your project. If you need to research some aspect of guidance and counselling that requires involvement with schools, colleges or universities, you are likely to be constrained by examination timetables and vacations.

To manage your research project successfully, you will need to anticipate routine constraints affecting the research process. This will help you to develop strategies to cope with these limitations and avoid difficult situations arising in the first place.

3.6 Overcoming obstacles

The process of successful research will, inevitably, involve developing problem-solving techniques. Problems that may arise can range from those relating directly to the research process (for example, the response rate is very low), to problems in other areas in your life (for example, changing your job or falling ill). Blaxter et al (1996: 137) suggest the following ways of coping with difficulties:

remind yourself that the purpose of carrying out research, particularly as a new researcher, may be as much to develop your understanding of the research process and/or the use of particular research methods as to explore substantive issues; remember that it may be just as valid to write up your research in terms of, for example, the problems of gaining access to a particular group, or of getting an adequate response from that group once access has been gained; as part of writing your research report, reflect on your research strategy, explore what went wrong and why and include recommendations for improvement; view research as being about the skills you have learnt and developed on the way. Part of doing research is about appreciating what is involved and where it may be leading you; if you have time and resources, you may choose to redirect your research strategy when you become stuck.

This section will help you understand the broader context of guidance research including consideration of both qualitative and quantitative approaches.

4.1 Introduction

This section examines the two major traditions of research methods: qualitative and quantitative. It discusses the dominant effect that one of these traditions (quantitative research) has had on current careers guidance and counselling practice and considers the value of piloting research.

4.2 Objectives: stage 4

distinguish between quantitative and qualitative research; outline some key issues from current practice which link with research method; describe the main features of qualitative research; describe the main features of quantitative research; pilot your research project. 4.3 Models of Research

The most common way of conceptualising the diversity of approaches to research is to distinguish between quantitative and qualitative models. It is this distinction that will be adopted here, though it should be stressed that this is a rather crude distinction that can be misleading. In reality, much social scientific research combines methods from the two traditions. So how are these two approaches different? Most obviously, quantitative research involves measurement on some numerical basis and usually employs statistical techniques, whereas qualitative research does not (at least to the same degree). Various other features of the research process are also associated with the different traditions. For example, quantitative research favours structured forms of data, which can consist of frequency counts or other types of measurements. In contrast, the data that qualitative researchers typically deal with are verbal descriptions in natural language often collected from an interview or some type of recorded conversation (for example, using audio tapes). They deal more in meanings, experiences and descriptions. This type of data cannot be directly subjected to counting or measuring, though, of course, they can subsequently be presented so that they can be analysed quantitatively.

Other differences have already been identified in 1.4 above. For example, the sequence and relationship of activities involved. A quantitative approach requires that the researcher collects all the data before analysing it. A qualitative approach requires that data collection and analysis are intertwined. One other important difference relates to views about the role of theory. These and other differences will be discussed in more detail later.

Methods of data collection are also varied. Some are clearly associated with quantitative research (for example, the scientific experiment) and other with qualitative research (for example, participant observation). Others are shared by both traditions (for example, questionnaires and interviews) though the precise design of the research instrument and the approach adopted by the researcher are likely to differ. There is a vast literature available on research methods. You will need to spend time reading about different methods and, once you have an idea of your research focus and methods, you will need to spend time researching issues related to different designs (for example, of questionnaires). Whichever approach (or combination of approaches) you choose to adopt for your research project and whatever methods, remember the underlying purpose is to extend knowledge and understanding about some aspect of careers guidance and counselling. As May (1996:3) expresses it more generally, the purpose of all research is:

'to understand and explain social phenomena, to focus attention on particular issues and to challenge conventionally held beliefs about the social and natural worlds'.

4.4 Research Traditions in Guidance and Counselling

Current Practice

The theories which underpin current careers guidance and counselling practice have come mainly from North America. Varied accounts exist which identify the main influences in the development of this body of knowledge (for example, Arthur et al,1989, Brown et al, 1990, Seligman, 1994, Scharf, 1997 and Zunker, 1998,). Despite disagreements about the particular strands of influence, there is agreement that Frank Parsons was the founding father of the vocational guidance movement. A seminal work by Parsons entitled Choosing a Vocation was published posthumously in 1909. His ideas about how people choose jobs came from differential psychology and were initially referred to as the 'talent matching' approach. They later developed into what became known as the 'trait and factor' theory of occupational choice, and were developed by theorists who had a major impact on practice such as John Holland (1966,1973, 1992) and Alec Rodger (1952). Parsons' core concept was that of 'matching'. He suggested that occupational choice occurs when people have achieved:

an accurate understanding of their individual traits (e.g. personal abilities, aptitudes, interests, etc.); a knowledge of jobs and the labour market and then made a rational and objective judgement about the relationship between these two groups of facts. A key assumption is that it is possible to measure both individual talents and the attributes required in particular jobs which can then be matched to achieve a 'good fit'. It is when individuals are in jobs best suited to their abilities, they perform best, and productivity is highest.

This theory of occupational choice has dominated careers guidance and counselling practice for nearly a century, partly because of its practical appeal. It provides careers guidance and counselling practitioners with a clear rationale and framework for practice. Additionally, the underlying philosophy has suited policy makers since it lends itself to the servicing of labour market requirements. Consequently, it has been embraced enthusiastically by policy makers and barely questioned by the majority of practitioners.

The theory contains, however, fatal flaws. Scharf (1997) reminds us that:

There is little research supporting or refuting trait and factor theory itself as a viable theory of career development. Rather, the research that has been done, of which there is a large amount, has related traits and factors to one another or has established the validity and reliability of measurements of traits and factors.' (p26).

There was no viable theoretical alternative during the first half of this century to this 'best fit' theory of occupational choice, and it was not until the 1950's and 1960's that theories originating from other academic disciplines such as sociology, and other branches of psychology like developmental psychology emerged as serious alternatives. Theories which were developed from these academic disciplines emphasised the context in which occupational 'choice' occurred and the importance of the maturation process of individuals, respectively. Since this time, the theories careers guidance practitioners have used to inform their practice have expanded dramatically. Whichever theories actually inform current practice, there is emerging consensus around the inadequacies of these theories. In particular, researchers are questioning the relevance of current theory for particular sectors of society.

Adequacy of Current Practice

There is a growing critique of the current practice of careers guidance and counselling which is based on theory derived from quantitative research methods. For example, Osipow and Littlejohn (1995) discuss serious weaknesses in applying current theory to Minority ethnic groups. They argue that a major problem is the manner in which all current theories use concepts which 'assume cultures that are relatively affluent and have good opportunities for education, upward mobility and family support and encouragement' (p255). Many members of minority ethnic groups, they argue, do not have access to these privileges.

Hackett (1997) identifies several problems in trying to apply current theory to girls and women: 'I am suggesting the need for formal testing of competing models as well as attempts at unification and integration....we also need to incorporate issues of sexism, racism and their interaction, along with considerations of relational orientation, support and barriers into all our developing conceptions of women's career psychology’ (p187).

Savickas (1995) relates current problems with theory to the more fundamental issue of different philosophical origins reflected in the two approaches to research. He identifies inherent tensions which arise from the academic traditions of different theories: 'sharp lines have been drawn on which philosophy of science to choose' (p15). He concludes that 'vocational psychology could benefit simultaneously from refinements forged within the distinct career theories, from advances produced by convergence among career macrotheories and from break-throughs induced by divergence in work-role microtheory' (p29).

Implications for Research Methods

Theories informing current guidance and counselling policy practice have been developed mainly by psychologists operating from scientific positivist paradigms of research using quantitative methods. What, then, are the concerns now being expressed about the limitations of this research method?

Taking just one example of careers guidance and counselling for girls and women, Harmon & Meara (1994) discuss the limitations of experimentally designed empirical inquiry that meets the criterion of internal validity for both policy and practice. They argue that 'those who are interested in career counselling for women seem to be swimming against this tide in an attempt to integrate science and practice' (p362).

Hackett (1997) reviews some of the criticisms made about the existing literature on women's career development which include research methodologies which have been used. In particular, she argues that there is a need to move beyond 'simple correlational designs' (p184) and suggests that qualitative research methods 'are highly appropriate in attempts of this sort to truly understand the experiences of a group that has received insufficient attention' (p185). She discusses the need to triangulate across different data sources using focus groups, diaries, archival documents, or observations, concluding that 'future research on this model will also benefit from the integration of qualitative and quantitative methods' (p186).

Others have also discussed the type of research methods which should be used for future research inquiry. For example, Rainey and Borders (1997) advocate the use of narratives, constructivist methods or other qualitative approaches to examine environmental factors for girls and women (p169). Edwards and Payne (1997) state simply that there is a need 'to embrace ideas from a wider moorland of study than is presently the case' (p537).

Overall, then, there is a growing consensus that scientific research methods from within a positivist paradigm have been found to be wanting in several respects. Knowledge and understanding built up from a particular approach to research needs to be complemented with knowledge and understanding derived from different ways of investigating social phenomenon.

4.5 Quantitative Research

'Quantitative research is concerned with the collection and analysis of data in numeric form. It tends to emphasise relatively large-scale and representative sets of data, and is often........... presented or perceived as being about the gathering of facts.' (Blaxter et al (1996:60).

Quantitative or traditional experimental approaches set out to quantify and measure the contributions of different factors to phenomenon (for example, occupational choice behaviour). It can be useful if you want to compare things, like test scores under different conditions or behaviour under different conditions. However, this approach to research has certain disadvantages for small scale studies. For example, you would need a large enough sample to ensure your data is statistically significant. Additionally, your sample must be representative so that you can be confident of getting the same pattern of results again when you repeat the same procedures on a different population. Only then would you be able to generalise your findings to a wider sample than the one you are testing.

Robson (1993:19) summarises the five sequential steps which are commonly regarded as typifying the 'scientific' or quantitative approach to research. These involve:

Deducing a hypothesis (a testable proposition about the relationship between two or more events or concepts) from theory. Expressing the hypothesis in operational terms (i.e. ones indicating exactly how the variables are to be measured) which propose a relationship between two specific variables. Testing this operational hypothesis. This will involve an experiment or some other form of empirical enquiry. Examining the specific outcome of the enquiry. It will either tend to confirm the theory or indicate the need for its modification. If necessary, modifying the theory in the light of the findings. An attempt is then made to verify the revised theory by going back to the first step and repeating the whole cycle. So, adopting a quantitative approach to research involves searching for causal relationships which are conceptualised in terms of the interaction of 'variables', some of which (independent variables) are seen as the cause of other (dependent variables). It will invariably involve designing and using standardized research instruments (for example, tests, questionnaires, attitude scales) so that numerical data can be collected which will then be manipulated using statistical techniques.

Some suitable data for this research method already exists in the form of published or unpublished statistics. Often, though, researchers have to produce the data they need for analysis themselves. For example, from a laboratory experiment or from psychometric or personality tests which have been administered to relatively large groups of participants. As previously indicated, if responses to unstructured questionnaires can be coded and then counted in some way, this may also be a source of quantitative data.

4.6 Qualitative research

'Qualitative research is concerned with collecting and analysing information in as many forms, chiefly non-numeric, as possible. It tends to focus on exploring, in as much detail as possible, smaller numbers of instances or examples which are seen as being interesting or illuminating, and aims to achieve 'depth' rather than 'breadth'.' (Blaxter et al.,1996:60).

Qualitative research is concerned with life as it is lived, things as they happen or situations as they are constructed in the day-to-day course of events. Qualitative researchers seek lived experiences in real situations, try not to disturb the scene and to be unobtrusive in their methods. This is to ensure that data and analysis will closely reflect what is happening. Qualitative researchers are also interested in 'natural' experiments. For example, when ordinary processes are disrupted, basic rules and norms are thrown into relief. Usually, these types of rules and norms are tacit and understood, perhaps subconsciously, by people in a particular situation. A recent example relevant to guidance in the UK is the recent is the introduction of Personnel Advisers to work with disaffected young people in the Connexions service. Reformed organisational structures, different relations with schools, colleges, Youth Services, Social Services, Youth Offending Teams, and Educational Welfare Officers, different working practices with clients (e.g. over a two year period) are all examples of natural experiments which would be legitimate areas for research inquiry using a qualitative approach.

When studying in this way, it is important not to start off with too many preconceptions about what you might find. It is necessary to maintain an openness, not pre-judging issues and not even settling for the first (even second) impressions formed. Guesses might be made, tested along the way and abandoned, changed or revised in the light of later discoveries. This mode of study will have implications for the relationship fostered with the subjects in the research (refer to 'ethics' in 1.6, and 'access' in 3.4).

Six characteristics of qualitative research are identified by Blaxter et al (1996:61):

Events can be understood adequately only if they are seen in context. A qualitative researcher therefore immerses her/himself in the setting. The contexts of inquiry are not contrived; they are natural; nothing is predefined or taken for granted. Qualitative researchers want those who are studied to speak for themselves, to provide their perspectives in words and other actions. Therefore qualitative research is an interactive process in which the persons studied teach the researcher about their lives. Qualitative researchers attend to the experience as a whole, not as separate variables. The aim of qualitative research is to understand experience as unified. Qualitative methods are appropriate to the above statements. There is no one general method. For many qualitative researchers, the process entails appraisal about what was studied. This approach to research, therefore, involves considered selection and interpretation. It is therefore important to make the choice of focus for study principled and clear as well as being careful to make only reasonable claims in the research report or dissertation. In addition to making the basis of selections and methods clear, the researcher needs to include some biographical information because s/he cannot be regarded as an objective recorder of absolute truths, but rather a participant in the research process.

4.7 Piloting

Piloting is the process whereby you try out the research techniques and methods you have in mind to see how well they work in practice. This enables you modify your plans before you commit too much time to one procedure. If you have spent time thinking about and planning your research project, you may be tempted to believe that you are clear about what you are doing. However, the value of piloting research cannot be overestimated. Things rarely work out the way you expect - respondents can answer a questionnaire or interpret an interview question in ways that you can never anticipate! Taking time to run a pilot can save you time, frustration and even anguish in the end.

In a small scale study, even an informal pilot can prove invaluable. Try out a couple of interviews, get some friends to fill out your questionnaires, go and observe some organisational activities - or whatever else you have in mind for the data collection phase of your project. You will almost certainly gain from doing this, even if it is a more accurate idea of the time collecting data can take. If you do this early enough, you can change your strategy before it's too late!

This section provides guidelines to help structure a research report.

When writing the main body of your research report, the following points may help with the structure:

Introduction:

Use your introduction to: set the context of your study (including information about your own role); explain why you approached your study in the way you did; what you hope to demonstrate by your results; and justify your approach with reasoned argument based on relevant theory and research evidence.

Literature Review:

The literature review should employ a critical, analytical approach with an understanding of (relevant) competing perspectives. It must go beyond a descriptive account and should be logically and coherently organised. Your review should demonstrate a detailed knowledge of original sources and the field together with your understanding of main theoretical and methodological issues. Do not be afraid to add your own ideas, especially if your study challenges established wisdom.

Research Method:

The purpose of this section is to enable your reader to understand exactly what you did as part of the research process, together with the results and your interpretation of their meaning. It should include sufficient details to enable the reader to understand:

the overall design of the study; details of participants (e.g. age, gender, experience, occupational role, etc.); research instruments used; procedures used in the study. This section should also contain a description of the overall purpose, summary of content, structure and justification of why this particular approach was used. If an instrument (e.g. questionnaire) was designed especially for your study, you should also include details of its piloting and include the final version as an appendix. Issues of validity and reliability should also be addressed.

Your results should be presented in a form that enables the reader to understand exactly what your data consists of and sources. It should also identify any trends that have emerged and (where relevant) statistical techniques used as well as the results of these analyses. Finally, this section should address the way(s) in which the data illuminate your research question(s).

It is likely that the results section will be the most difficult to write. If your have undertaken a qualitative study or have huge quantities of data, then you may need to include some discussion and not just description in this section. You should not include extensive ‘raw’ data and the results must be organised, summarised and selective. Where appropriate, tables or diagrams should be used to summarise your results. It may not even be possible to include all the results, as this may overwhelm your reader and obscure your main findings.

Discussion:

The purpose of this section is to:

present your interpretation of your results; justify your interpretation by anticipating counter arguments; and urge caution in accepting your interpretation where there are defects in the design and execution of the study. Few applied studies can be perfect, so demonstrate your awareness of flaws and weaknesses in your work and your understanding of how you might improve on your research. It is also important to comment on any practical difficulties you may have encountered, especially those out of your control. In summary, adopt a ‘reflective practitioner’ approach in reviewing the research process as a whole.

Your discussion should also highlight links between your own research and the literature review and evaluate your study's contribution to professional guidance practice.

Conclusion:

Your conclusion should present a summary of what you have achieved in your research project, without containing any new material. It should also suggest the implications of the findings, identify future related research and emphasise issues which require further research or investigation.

The 'Harvard Reference Style' is one system of referencing sources used internationally by scholars and researchers. At Coventry University the Centre for Academic Writing have produced a website and downloadable guide to this system which may be of interest. It includes sections on referencing new technology sources such as websites and emails. The link address is: http://home.ched.coventry.ac.uk/caw/harvard/index.htm

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What are Research Skills and why are they important?

Most jobs actually require some level of problem-solving. You may come across an impediment and come up with a question that you must answer in order to proceed. To answer this question, you will almost certainly need to conduct some research. People with research skills can identify a problem, gather informational resources that can help address the problem, assess the quality and relevance of these resources, and come up with an effective solution to the problem.

By the way, to diversify your research paper process you can find unique research paper topics .

What is Research?

Internet Research is the practice of conducting research using Internet information, particularly free information on Internet-based educational resources (such as Internet discussion forums).

Simply put, research is the process of discovering new knowledge. This knowledge can be either the development of new concepts or the advancement of existing knowledge and theories, leading to a new understanding that was not previously known.

In fact, almost every profession or job necessitates some level of research and research skills. As long as you encounter a question, which is a natural occurrence in almost everything, you should encounter an opportunity to conduct research. When there is a need for research, strong research skills come in handy.

What are Research Skills?

Research skills enable you to focus on a specific goal, gather relevant information, and communicate your findings to others. We are taught from a young age to develop research skills, and for good reason.

Teachers in academia required answers to a series of topic-related questions in an essay. Similarly, your boss may eventually request that you investigate a work-related topic or figure out how to solve a problem.

Why are Research Skills Important?

Research skills are important in the workplace for a variety of reasons, including the ability for individuals and businesses to:

• Develop new processes and outcomes. You don't have to be involved in research and development to improve the way your team works. Any sensible employer will value your efforts in researching new processes that will make your job (and those of your team) more efficient.
• Personal Growth. People who have a knack and a passion for research are never satisfied with doing things the same way they've always done them. Organizations require independent thinkers who will seek their own answers and continually improve their skills. These employees will also learn new technologies more quickly.
• Customer relationship management. In almost every industry, being able to conduct research on your customer base is critical. It's difficult to move products or sell services if you don't know what people want. It is a valuable responsibility to research your customer base's interests, needs, and pain points.
• Cost Effective. Whether your organization is launching a new product or simply trying to cut costs, research is critical for identifying wasted resources and redirecting them to more worthy causes. Anyone who goes out of their way to find ways for the company to save money will be praised by their boss.
• Competitor Analysis. Knowing what your top competitors are up to is crucial for any company. If a company wants to stay functioning, it must research what works for its competitors, what they do better than you, and where it may improve its standing with the least amount of resources.

Types of Research Skills

Experienced researchers understand that conducting a worthwhile investigation necessitates a wide range of abilities. Consider which research abilities you have naturally and which you could improve.

Goal Setting

You must first know what you're looking for before you can conduct any form of productive research. Setting goals is a skill just like any other. It will be lot easier to construct a path there if you can imagine the conclusion you're aiming to attain by investing effort into research. Goal-setting skills include:

• Specificity
• Time-Management
• Planning ahead
• Organization
• Accountable

Data Collection

The collection of data is often the first thing to remember when thinking about the research process. It is a systematic process to collect and measure information on variables of interest that allows one to respond to research questions, to test hypothesis and to assess results.

Simply collecting facts and information on the internet can meet your needs for some purposes. More direct and popular research may be needed by others. You will be more impressive with your experience in different methods of data collection. Methods of data collection are:

• Questionnaires and surveys
• Observations
• Documents and records
• Focus groups
• Oral histories

Evaluate and Analyze Information and Sources

In research, it is important to find reliable information suitable for your task. Some tasks may require the use of certain types of sources, such as primary or secondary sources or certain types of journals, like scientific journals. You may need to restrict the numbers sources you use for other assignments.

In all cases, the information contained in your assignments should always be assessed. Knowing how to assess information helps you with research tasks and with your life's bigger decisions. Knowing where to go for information that is relevant, credible, and accurate can assist you in making informed decisions about graduate school, a new car purchase, financial aid opportunities, daycare options, and other topics.

• Published books
• Encyclopedias
• Scholarly journals
• Library catalogs

Using the internet to gather information

Search engines are used to find the majority of information on the Internet. A search engine is an online service that employs web robots to query millions of web pages and compile an index of the results. Internet users can then utilize these services to search the web for information. While it is beneficial to consult different sources, today's research is driven by good online research skills.

One of the greatest things about the internet is how much information it holds; unfortunately, getting to the data you need requires sifting through a lot of rubbish. Employers value the ability to efficiently utilise the large reservoir of knowledge available on the internet without getting lost in the clutter. The following are some examples of internet research skills:

• Source checking
• Searching relevant questions
• Exploring deeper than the first options
• Avoiding distraction
• Giving credit
• Organizing findings

Due to the sheer size of the World Wide Web, and with the rapid growth of indexed web pages, finding relevant and reliable information demands specialized training and Internet research skills . We provide a centralized virtual platform for knowledge professionals that use the Internet as a primary source of information. This AofIRS is more than just a virtual collaboration and networking platform for researchers and knowledge professionals. The website is filled with free, up-to-date content and reference material that is ideal for research.

Interviewing

Some research projects may demand a more hands-on approach than relying just on online resources. In the research process, being prepared with great interviewing skills can be really beneficial. Interviews can be a good way to get first-hand knowledge for your research, and knowing how to conduct an effective interview can help you improve your research skills. Interviewing abilities include:

• A plan of action
• Specific, pointed questions
• Respectfulness
• Considering the interview setting
• Actively Listening
• Taking notes

Report Writing

Report writing skills can help you in both your employment and your academic studies. In any case, the overall goal of a report is to transmit specific facts to its audience.

Communication is crucial for effective report writing. Your supervisor, professor, or general reader should comprehend your findings and conclusions clearly. Skills in report writing include:

• Formatting is important.
• Including a synopsis
• Keeping your focus on your main goal
• Developing a plan
• Proofreading\sDirectness

Critical Thinking

Critical thinking skills can help you a lot in the research process and in general as an employee. Your data analysis skills are referred to as critical thinking. When you're conducting research, you'll need to be able to interpret your findings and make rational judgments based on them. The following are examples of critical thinking skills:

• Observation
• Assessing issues
• Problem-solving
• Communication

Planning and Scheduling 

The development of baseline productivity and success standards is one of the most significant components of planning and scheduling. You won't know if you're meeting goals until you have a particular strategy in place with a specific desired outcome defined by a completion date.

It also makes time management considerably easy. Employers value planning and scheduling abilities because they suggest a well-prepared employee. Skills in planning and scheduling include:

• Setting objectives
• Identifying tasks
• Prioritizing
• Delegating if needed
• Time-management

Note-taking

Research involves sifting through and taking in lots of information. Taking thorough notes ensures that you do not overlook any findings and allows you to communicate these findings to your coworkers. Being able to take good notes aids in the summarization of research. Here are some examples of note-taking abilities:

• Using short-hand
• Keeping your goal in mind
• Emphasizing important points
• Reviewing notes afterward

Time Management

Unfortunately, we only have 24 measly hours in a day. In a professional setting, the ability to effectively manage this time is extremely valuable. Hiring managers look for candidates who can complete tasks within a specific time frame.

Strong time management skills imply that you can organize a strategy for breaking down larger tasks in a project and completing them by a deadline. Improving your time management skills can significantly boost the productivity of your research. Time management abilities include the following:

• Creating task outlines
• Thinking strategically
• Stress-management
• Utilizing resources
• Setting reasonable expectations
• Meeting deadlines

Other Helpful Research Skills

The definition of research skills is broad, and there are many traits that could help you in the research process. Consider some of the additional research skills below.

• Attention to detail
• Reading and writing skills
• Considering keywords
• Competitor comparison
• Multitasking
• Summarization
• Presentation

How to Improve Your Research Skills

The great thing about research skills is that many of us use them on a daily basis. When you use a search engine to find information on a topic, you are conducting research. However, there are more proactive ways to begin improving your research skills today:

• Make a distinction between source quality. A researcher's worst source determines how good they are. Start paying attention to the quality of the sources you're using, and be wary of anything you read until you've double-checked the attributions and works cited. Examine the author's bias, the author's research's alignment with the greater body of confirmed research in the subject, and the journal that sponsored or published the research.
• Verify information from several sources. It gets increasingly trustworthy when you can verify information from a variety of sources. If you want to strengthen your belief in one source, check if you can locate another that agrees with it. When you run into contradictions and conflicts in your study, you know you need to keep going until you reach a more definitive conclusion.
• Don't be influenced by confirmation bias. Confirmation bias occurs when a researcher expects a specific result and then searches for data to support that hypothesis, ignoring any sources that contradict or invalidate the researcher's initial idea. Be ready for unexpected responses and keep an open mind. Also, keep in mind that you might not be able to discover a definitive answer. It's preferable to provide the important points of your research to someone (such as your employer) and explain that it didn't lead to a concrete plan of action than to alter your data and give the answer you or your boss want to hear.
• Stay organized. You'll encounter a lot of material during the data gathering process, from webpages to PDFs to videos. To avoid losing something or not being able to properly mention something, it's critical that you maintain all of this information organized in some way. There are numerous methods for keeping your research project structured, but here are a few of the most common: Bookmarks in your browser, index cards, and an annotated bibliography that you update as you go are all useful tools.
• Develop your research skills. Professional certification will help you improve your research skills. CIRS™ (Certified Internet Research Specialist), is by far the only professional credential that meets this challenge. Professional researchers owe it to themselves to seek structured certification programs and stay in touch with new materials and tools that are available to transform research problems from very difficult or impossible to quick and simple tasks. We have developed a CIRS Certification (Certified Internet Research Specialist) to educate and train Online Researchers that now form a significantly large group of people involved in digital information research work.
• Get specific as you go. There's nothing wrong with commencing your investigation in a broad sense. After all, it's critical to become acquainted with the vocabulary and substance of the researcher's results before delving into the details. Orienting yourself to a new topic is an important step that will prevent you from being discouraged and working backwards.
• Learn how to spot a reliable source. Because not all sources are trustworthy, it's critical to be able to distinguish between the good and the bad. To find a trustworthy source, utilize your critical thinking and analytical skills to ask yourself the following questions: Is this source consistent with other sources I've discovered? Is the author a subject matter expert? Is there a conflict of interest in the author's point of view on this subject?

If you're ready to conduct research to enhance your search efforts, the following resources will be useful:

• Educational Search Engines for Students
• Top 100  Academic Search Engines
• 3 ways to help students do efficient online research

Live Classes Schedule

World's leading professional association of Internet Research Specialists - We deliver Knowledge, Education, Training, and Certification in the field of Professional Online Research. The AOFIRS is considered a major contributor in improving Web Search Skills and recognizes Online Research work as a full-time occupation for those that use the Internet as their primary source of information.

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Research skills: Examples + how to improve them

No matter what career path you choose to take, research skills are one of the key graduate career skills that will help you impress employers in applications and support you throughout your entire working life. 

Research skills are essential in problem-solving; learning how to improve research skills is therefore a great way to prepare for the workplace and improve your overall skill set in your early career. In this article, you’ll find out what research skills are, how to improve your research skills and much more. 

• What are research skills?
• Examples of research skills
• Jobs that require research skills
• How to improve research skills

How to use research skills at your workplace

How to include research skills in a cv, how to include research skills in a cover letter.

• How to demonstrate your research skills at a job interview

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What are research skills? 

Research skills refer to an individual’s ability to source information about a certain topic, and effectively extract and evaluate the information in order to answer questions or solve problems. 

Research skills are soft skills that are highly sought after by employers as they show a candidate’s ability to understand and analyse a variety of materials and sources. Whether you’re studying or already in the workplace, research skills are important transferable skills to have in any role or sector that you choose.

These skills can be constantly improved, and this is a great way to develop in your early career and prepare for the workplace. For example, your manager might ask you to conduct research or analysis for various projects, where these skills will be essential for your success. 

Learn how to develop your entire transferable skillset with this free online learning course. You'll also get a certificate once you complete the course that you can display on your CV and LinkedIn profile.

Examples of research skills 

During your time at school and university, you will have used a variety of research skills to complete projects and assignments. If you’re not sure what research skills look like in practice, here are some examples: 

Data collection 

Data collection is the process of systematically gathering information in order to solve problems, answer questions and better understand a particular topic. The information or data that you are collecting can be quantitative or qualitative; it can be collected through using surveys, interviews, reviewing existing materials and more to solve a particular problem.

At university, you would need to read broadly on a certain topic or conduct a literature review for a certain project. This is all data collection, and you can develop and use these experiences in your future role too. 

Critical thinking

Critical thinking is the ability to interpret and analyse information in order to form a particular judgement or evaluation. Someone who is a great critical thinker will be able to apply their knowledge (informed by evidence from, for example, data collection) to think rationally and come to a conclusion. Critical thinking is key in the workplace as it means you can analyse and evaluate strategically, to come to a judgement that will inform a particular action or idea.

Detail orientation 

Another key example of a research skill is detail orientation, or the ability to focus on small details. Someone who is detail-oriented will be able to notice small mistakes and will be able to deliver high-quality and accurate work. When solving problems, this is essential, as the ability to extract and evaluate information with accuracy is important for the validity of your research and will help drive high-quality results. 

Time management 

Time management is the ability to organise your time when planning different activities and projects. Effective time management means you’re able to balance your workload and ensure all tasks are completed within an allotted time. This is important for your research skills, as it means you are able to effectively delegate your time between data collection, analysis and evaluation.

Jobs that require research skills 

• External auditors have great attention to detail to investigate organisations. In an external auditor role, you will need to research policies and regulations, analyse data provided by the organisation and draw conclusions for a report.
• A strategist in the financial sector looks at an organisation’s finances to come up with plans for the future. You need great analytical and evaluative skills in order to understand the best options for your clients and turn a rational judgement into action. 
• A role in the Civil Service involves researching, developing and maintaining policy in the UK. Being able to inform your decisions with evidence, and manage your time effectively, is key. 
• In the role of a data scientist , you will need to conduct research to understand why a client or company needs a data scientist, and be able to analyse effectively to see big patterns in large amounts of data. 
• Clinical scientists must carefully analyse and process large amounts of data, requiring strong research skills and detail orientation.

Not quite sure about the type of career you should pursue? Take our Career Path Test and get matched with the career paths and sectors that meet your interests. 

How to improve research skills 

• Practise your time management and organisation skills: Whether you’re at university or in your early career, it’s important to start learning how to balance your time effectively to complete a number of tasks. For your next project, try setting out clear activities that need to be completed, how long you need to spend on each, and a timeline for when each task will be started and completed. 
• Learn how to write reports: In any research process or project, you will need to summarise and evaluate your findings in a written report in a clear and concise way. Make sure to include the objective of your research, a summary of your findings, and the judgements you have made from the evidence you found. 
• Read more widely: One of the core aspects of research and analysis is the ability to extract information from a variety of materials. Reading more widely will improve your data collection skills and will give you experience with forming judgements from a range of sources and on a number of topics.
• Plan . Before you start a project at work, make sure you’ve taken time to plan what tasks you need to do, and how long each will take, to understand the timelines of the project. This allows you to set aside dedicated time for the research phase, for example, before analysing data or putting ideas into action.
• Read about the topic . Whatever sector you’re in, and whatever project you’re working on, reading about your subject area is key to understanding your field ahead of any decisions being made. This will help you solve problems and answer any questions you need to be answered at the offset.
• Compare your results . Following any research or data collection, it’s a good idea to compare your findings with colleagues to ensure consistency across the team. This will lead to greater accuracy for the project as a whole.
• Present . Practising your presentation and communication skills is an essential part of developing your research skills. At the end of any research you’ve conducted, get into the habit of presenting your findings in a written report, and try presenting this to your line manager and wider team.

Once you’ve developed your research skills, it’s important that you know how to convey these effectively in applications – starting with your CV.

Read: How to write a CV | Advice & templates

Your CV is usually the first thing an employer sees of you, so you need to impress them from the offset. Highlighting your research skills, and how you’ve used them in your experience so far, is a great way to do this and will show your organisation, attention to detail and critical thinking.

Research skills should be included under the ‘skills and achievements section of your CV. This is where you include your technical and personal skills that relate to the role you’re applying for.

When talking about your research skills, remember to highlight how you’ve developed these in a concise way. For example, you might have developed research skills by writing a number of literature reviews at university. This might be phrased as “developed effective research skills through data collection and analysis when writing literature reviews for university projects.”

Another way to convey your research skills on your application and impress employers is through the cover letter. If an employer asks for one, it’s important to know how to structure a cover letter so that you can convey your skillset and interest in the role clearly and succinctly.

Your cover letter needs to be no more than one page and should highlight your competency for the role you’re applying for. Approach your application from the basis of ‘what I can do for you’ rather than ‘what you can do for me’. As research skills are transferable, this is a great chance to highlight how you can benefit the organisation and team you’re applying for, as it shows your ability to collect data, think critically, organise your time, analyse and more. Remember to apply these soft and transferable skills to what the job description says will be expected of you.

How to demonstrate your research skills at a job interview 

Interviews are another opportunity to impress employers with your skill set - including how you have developed strong research skills which you can use in the role you’re applying to. 

Ahead of your interview, you should be using your research skills to look into the company you’ve applied for. Get familiar with what they do, their company values and what they’re looking for in a candidate for your chosen role. 

You can also get prepared by practising to answer potential research skills questions like “give me an example of a time when you solved a problem using your research skills.” To answer this, make sure you’re identifying the specific research skills you have used, and explain a real example of when you have solved problems using them. Think about the impact using those research skills had in order to highlight how you have developed these skills effectively in practice. 

Research skills are essential for success in many different roles and fields. By learning how to improve your research skills, you are setting yourself up to impress employers at application and become an asset to a team when you enter the workplace. 

Research skills are soft skills that employers value, are essential for developing your problem-solving skills and are one of the key graduate career skills that recruiters look for. By adding ‘research skills’ to your CV, and highlighting your research capabilities at interviews, you are increasing your employability and chances for success.

Browse thousands of available graduate jobs, schemes and more and demonstrate to employers that you're able to use your research skills to succeed at interview and in your early career. 

Resume builder

The Best Research Skills for a Resume

If you want to apply for a research position, you need to provide evidence of research skills on your resume. In this article, we explore what the best research skills for a resume are, why they are important and how to list them properly. We also provide a researcher resume sample to get you started – you can use it as inspiration or a template.

Table of Contents

What Are Research Skills?

A career like research is an excellent option for anyone who can collect, analyze and interpret data, solve complex problems, dive deep into discovery, and offer innovative solutions. The best thing about being a researcher is that you can not only succeed in science and academia but also climb up the career ladder in the corporate world. Indeed, having solid research skills opens the door to many roles and industries, including academic environments, government settings, transnational corporations, startups, tech giants, and non-profit organizations, to name but a few.

From human behavior to regional studies to biotech, there are myriads of research spheres where a qualified individual can make a difference. Researchers utilize their skills to explore a variety of topics, and if you have your mind set on pursuing a career as a researcher, you need to understand what skill set is pivotal for success in this field.

In a nutshell, research skills are all about searching ways to resolve problems. They are knowledge, abilities and competencies that ensure you can investigate particular topics, perform critical analysis, extract and organize data, interpret results, form hypotheses, and derive data-driven conclusions.

As a researcher, you are expected to be capable of relaying your findings to other people in a compelling and digestible form and even inspire action, both in yourself and in others.

Whether you are a seasoned researcher or a novice in this field, you need to put the right skills on your resume . Below you will find a list of the most in-demand research skills in today’s job market.

The Top 10 Research Skills for a Resume

Communication.

Communication is a crucial aspect of a research career since you are required to share information, relay findings and spread knowledge efficiently and effectively, both orally and in writing . While communication skills certainly have a place on your resume , that doesn’t mean adding “Communication” to your list of skills is enough to move on. You need to provide relevant examples verifying that you can research things as part of a team and work towards a common goal. You could add something like this to add credibility to your claim:

Recruited 7 research assistants for clinical studies by visiting clinics and sending out email invites, increasing participation by 20%.

Explained 100+ research procedures to a group of study participants in 10 days, resulting in a 0% incident rate.

Problem Solving

Being an advanced problem solver means you can consistently identify issues and find effective and efficient solutions to them . It is an extremely valuable skill when it comes to research-based activities, and 86% of employers look for workers who are capable of solving problems in the workplace according to the National Association of Colleges and Employers’ Job Outlook 2022 survey. If you want to add problem-solving skills to your resume, you need to underpin them with relevant accomplishments. For instance, you could add examples like these:

Resolved course accessibility issues by creating interactive presentations for remote learners, increasing student satisfaction by 89%.

Developed and introduced a new computing environment for analysis, identifying 100% of failure patterns and improving issue detection by 75%.

Analytical Skills

Having analytical skills means you can parse data into digestible pieces, interpret them correctly and make data-based connections and conclusions . Data analysis incorporates a vast set of competencies, including technical skills like proficiency in programming languages, such as Python and R, familiarity with data visualization tools, like Tableau and Power BI, and a strong grasp of statistical analysis methods, such as hypothesis testing, regression analysis, and sample size determination. Armed with these skills, a researcher can take data to the next level and drive both innovation and profitability.

Being able to make sense of facts and figures both manually and using automated solutions will help you thrive in most roles, so recruiters would love to know that you are an analytical thinker when considering your candidacy. Your best bet here is to make sure they can find this out by examining your resume. You can add examples like the ones below to prove you can tackle complicated issues using your analytical skill set:

Collected, cleaned and analyzed first-party data from 10+ departments to identify the socio-economic impact of the COVID-19 pandemic on the company.

Performed regression analysis to determine the effects of a company-wide minimum wage increase, concluding that the hiring process was accelerated by 25% due to the wage change in question.

Qualitative Analysis

Qualitative analysis allows you to analyze a research subject using non-numerical and non-quantifiable parameters, characteristics and indicators and is based on abstract concepts . For instance, you can use qualitative attributes like human behavior or brand reputation to make business decisions or recognize investment opportunities. This skill is in demand today as it helps researchers use their observations to make conclusions, identify patterns and tackle challenges. Since you cannot quantify this area of your expertise, you need to provide relevant context to convince the reader that you are capable of analyzing non-tangible aspects of a subject. You can do that by using appropriate examples, like the following ones:

Evaluated the quality and accuracy of 200+ data sources in a month.

Performed quality control of high-volume content in a rapidly changing environment, maintaining a quality score of 99.9%.

Quantitative Analysis

Quantitative analysis is an approach that allows you to collect, study, measure, and analyze data . From statistical research to financial modeling, quantitative analysis includes a powerful toolkit that helps a researcher refine and simplify vast amounts of raw data to make better decisions and forecast trends.

Quantitative analysis has countless applications: with it, you can track metrics, measure variables and evaluate parameters in multiple fields, from finance and accounting to molecular biology and astrophysics. Therefore, it is no wonder that it is one of the most important research skills for a resume and highlighting it the right way is likely to help you move forward in the job searching process. You can prove that you know how to work with tangible data by providing relevant examples, like the following ones:

Designed a new data analysis technique, saving 30 monthly hours in parameter comparisons.

Used SQL to analyze customer data and identify areas for improvement related to customer conversions, resulting in a conversion boost by 75%.

Academic Writing

Academic writing is the ability to create complex documents containing scientific data, such as formulas, graphs, and charts . Academic writing skills help researchers prepare reports, presentations and articles for scientific journals and magazines, and if you have them, it means you know how to present technical information clearly and concisely. Recruiters from scientific fields are especially interested in candidates capable of writing academically, so submitting a resume with examples of written work is likely to help you secure a position as a researcher. Listing your publications to prove your expertise is the best option here, but since you might not have enough space to add all your papers, books and articles, you could highlight your academic writing proficiency with something like this:

Created 350+ articles on the principles of academic research for the university’s database, increasing student satisfaction by 60%.

Published 30+ papers focused on structural changes in protein conformations.

Literature Review

Literature review is a methodology that implies conducting rigorous research on a particular topic . Having literature review skills means you can explore your subject area in greater depth using sources like books, journal articles, industry magazines, etc. Such competencies allow you to build upon existing knowledge and generate new ideas, accelerating your research and pushing it to its full potential. Naturally, your literature review skills are a valuable asset to your resume. We recommend you to illuminate them with appropriate examples, focusing on tangible outcomes:

Gathered and reviewed 10+ articles on Stata to extract variables from a dataset.

Performed 100+ literature reviews to implement changes in clinical practice, boosting quality of care by 70%.

Time Management

Time management is a powerful soft skill that is especially valuable in research environments. It allows you to manage your time effectively, break large tasks into manageable chunks and prioritize them properly, set up measurable, attainable, and time-bound goals, and even juggle your responsibilities . Proper time management helps you stay focused on your work, boosts your productivity and thereby leads to consistently high results and impressive outcomes. From carrying out experiments to writing reports to teaching, as a researcher, you need to apply time management strategies on a daily basis to successfully accomplish your tasks. You can show you are good at time management on your resume by showcasing your successes, like in the examples below:

Developed a database for organizing behavioral data for 100+ study participants, decreasing data processing time by 30%.

Implemented data analysis techniques in Python, increasing the amount of data analyzed per hour by 17% and accelerating project completion by 40%.

Attention to Detail

Paying attention to detail is a vital aspect of being a researcher. Having this skill helps you gather credible information, perceive meaningful connections, notice discrepancies, and deliver high-quality work based on correct evidence. Since each and every aspect of a career in research requires efficiency and trustworthiness, attention to detail is something you cannot go without – otherwise, your progress will come to a screeching halt. Naturally, you need to illuminate this skill on your resume as recruiters seek candidates who can look at details with a critical eye and minimize distractions. And the best way to do that is by providing a relevant example of success. You can use the ones below for reference:

Checked 10 + data sheets for completion and quality per day, resulting in a <1% error rate.

Supervised the maintenance and updates of the lab’s database with a 99% accuracy rate.

Editing & Proofreading

Editing and proofreading skills are essential to perform successful research since they ensure it is both accurate and easy to read . While editing is more about making your text more digestible and improving the overall quality of your writing, proofreading corrects surface issues like errors in spelling, punctuation and grammar. Both require you to have a solid command of the language you use and a certain degree of focus. The devil is indeed in the details, so you need to always polish your texts before submitting them. Only this way will they be perceived by your peers and superiors as constructive and professional. And to prove you are good at editing and proofreading, you need to add appropriate examples to your resume. Here is how you can demonstrate your ability to provide high-quality texts:

Edited 11 federal grant proposals designed by my team, which generated $200+ in lab funding.

Edited a research paper co-authored with 2 postdoctoral employees regarding protein generation, which received the Best Paper Award in 2020.

How to List Research Skills on a Resume

Your resume is the best place to highlight your research experience and the value you could bring to your next role. The key here is to put your research skills in the right section so that they get noticed by the reader. You have no fewer than 7 options here:

• A dedicated research section
• Your work experience section
• The education section
• The list of your research publications
• The projects section
• The skills section
• Your resume summary

If you have a solid research background, you may want to create a separate section on your resume and call it Research or Research Experience . This place will help you expand on your projects and their details, specify the nature of your research, and describe the specifics of your previous roles, providing relevant examples and demonstrating the most prominent accomplishments.

If your career is all things research, the work/professional experience section can incorporate your research skills and accomplishments. List your employers and your duties, along with the dates of your employment, like you would do when describing your non-research work experience.

Your education section is an appropriate place to highlight your research skills if you are a student or a recent graduate. You can put it at the top of your resume if you want to draw more attention to your research background when applying for your first job in science or academia.

If you have a whole host of published works, it could be a great idea to create a separate section for listing your publications . This will help you add credibility to your research skills and accomplishments. Research-related accomplishments can also be highlighted as projects on your resume. This might be appropriate if your research background is not so extensive or not quite relevant to your current career aspirations.

You can list your research skills in your skills section as long as they are tangible and relevant for the job you want to land. We recommend you to avoid general skills here and focus on industry-specific expertise, illuminating it with the keywords you can find in the corresponding job listing and relevant skill levels .

Highlighting your research skills in the summary section is appropriate if you are applying for a role where a robust research background is essential. Your resume summary is just a few lines appearing at the top of the document, so make sure to add only the most important research skills there – those that you want the reader to see first and foremost.

Why Are Research Skills Important?

Research-oriented positions and most jobs in academia require you to have a solid set of research skills. Employees outside these roles can also benefit from research experience – research skills are transferable , meaning you can bring them to the table no matter your position, career field or job level. Therefore, they are a valuable addition to a resume in many cases.

Businesses and organizations are eager to employ candidates with proven research skills because they can

• come up with original plans and ideas,
• design innovative products and services,
• improve processes,
• keep up with technology,
• identify customers’ needs and requirements and find ways to meet them,
• resolve complicated issues,
• analyze competitors’ strengths and weaknesses,

By adding research skills to your resume, you show recruiters that you can think outside the box, know how to work with data and technology, are capable of making well-informed decisions, and are good at solving problems. This makes you a valuable hire in today’s skill-based job market

A Resume Sample to Apply for a Research Position

JOHN/JANE DOE Research Assistant Location ⋅ Email ⋅ Phone number Diligent and hardworking clinical researcher seeking a position at [Name of Company] to apply academic expertise and facilitate biological research. PROFESSIONAL EXPERIENCE Company/Organization, Location Dates of Employment Research Assistant Assisted scientists in 30+ research projects related to therapeutics for COVID-19 Conducted data-driven testing with an accuracy rate of 98% Supervised a team of 3 junior research assistants with daily laboratory duties Company/Organization, Location Dates of Employment Graduate Research Assistant Participated in cell research projects as part of a cross-departmental team of 30 researchers. Performed cell counts with 99% accuracy Was engaged in developing a platform to investigate immune responses to virus-infected hepatocytes. … Company/Organization, Location Dates of Employment Research Student Assistant Gathered and analyzed data and evidence for 10+ clinical research cases monthly. Awarded “Research Impact Award” in recognition of consistent research excellence (only 1 student is awarded in a class of 100). … EDUCATION NAME OF UNIVERSITY Location Degree, Major Dates of Education SKILLS Molecular cloning RNA isolation Cell counting Knowledge of SQL code and queries Data analysis Literature review

A career in research is an extremely exciting yet quite a demanding path. Since the competition for positions in the field is very fierce, as a researcher, you need to have high levels of determination and persistence and a powerful combination of skills. The research skills we have outlined in this article are what recruiters expect to see on your resume, so make sure to expand on them to get the job of your dream, rise to the top of your game and deliver ground-breaking research.

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Supporting Early Math Learning Along a Continuum of Guided Play

• Published: 30 March 2024

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• Hanna Wickstrom   ORCID: orcid.org/0000-0002-1651-9937 1 &
• Angela Pyle   ORCID: orcid.org/0000-0002-9112-4687 1  

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The early years of education are a crucial time to develop a strong foundation of critical mathematical skills. A growing body of research continues to demonstrate that this foundational knowledge can be successfully built through teacher-facilitated, or guided, approaches to play. Despite its benefits, the implementation of guided play is relatively uncommon, as educators have expressed uncertainty regarding how to support guided play within the realities of classroom practice. The current study addressed this central challenge through qualitative inquiry, and identified three overarching approaches, each with specific strategies for implementation, that educators used to guide children’s play to support early math learning. Results also identified how guided play is situated within an ongoing and iterative process of play, whereby educators play a crucial role in supporting children’s learning before, during, and after periods of play. Illustrative examples of these approaches and strategies for guiding play will be shared and discussed relative to their potential for supporting educators within their practice of integrating teacher-facilitated play and early mathematics learning.

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Acknowledgements

The authors gratefully acknowledge the support of all participating educators.

This study was funded by the Social Science Humanities Research Council of Canada (Grant Number: 752-2020-1431).

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Wickstrom, H., Pyle, A. Supporting Early Math Learning Along a Continuum of Guided Play. Early Childhood Educ J (2024). https://doi.org/10.1007/s10643-024-01650-8

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Schools can close summer learning gaps with these 4 strategies

W hen it comes to summer learning, the benefits are well documented. Students who consistently attend well-planned, high-quality programs achieve higher scores on math and language arts testing. They also earn higher ratings from teachers on their social and emotional skills, research shows. Unfortunately, research also shows that students from low-income and minority backgrounds are less likely to attend – and benefit from – summer learning programs than their affluent and white peers.

Summer learning can play a crucial role in helping these students – and all kids – recover learning lost during the pandemic. The federal government has also acknowledged the importance of summer learning through its Elementary and Secondary School Emergency Relief Fund, or ESSER. The fund infused states with nearly US$190.5 billion , with 20% allocated to academic recovery, including summer programs .

So how can school districts capitalize on the crucial summer months and make learning more equitable?

In partnership with the Wallace Foundation and the District Summer Learning Network implemented by the nonprofit development organization FHI 360, our team at the Center for Policy, Research, and Evaluation at New York University is studying how districts implement high-quality summer programs with an eye toward equity. We analyzed 2022 summer planning documents from 26 districts and identified four strategies they’re using to make the programs more equitable.

1. Strategically target students

Of the summer learning plans we analyzed, we found that half prioritized students who need academic or behavioral support. Additionally, 42% mentioned English-language learners, and 35% mentioned students with disabilities.

Other distinct groups included low-income students, migrants, racial and ethnic minorities and gifted and talented students. Among districts that prioritized special groups, almost all of them included more than one group in their strategic outreach.

Which students get served in summer learning programs, and how they are served, has implications for equity. For instance, research has found that middle-income students often benefit more from summer learning programs than lower-income students.

This could be because high-quality programs tend to serve higher-income students, which raises concerns that summer learning programs may actually increase the summer gap if they are not targeted. High-quality programs that target lower-income students and other minority students can move the needle toward equity.

2. Reduce barriers to access

For students to access programs outside of the regular school day in an equitable way, simple accommodations , such as transportation, are key.

Several district summer learning plans we analyzed went above and beyond academics. They provided not just transportation but also free and nutritious meals, outreach material in different languages and extended day care services to support working families.

3. Design courses for specific student populations

Students learn best when they feel a sense of safety and belonging. By affirming and nurturing the unique identities of students, districts can make summer programming more equitable and accelerate learning. Research shows, for instance, that summer supports for English-language learners are key for their overall academic development.

Some districts tailored their programming to the individual interests and cultural needs of their students. For example, three districts – in both urban and rural communities – provided language classes for English-language learners, including adults.

Another district designed an arts program for students to explore and celebrate their culture. The program featured programming around ethnic and racial identities.

Despite a shortage of teacher applicants across the country, some districts also made efforts to hire teachers who are not only effective and well credentialed but also reflect the demographics of the student body they serve.

4. Engage families in planning and programming

Some districts held regular family education sessions to provide updates about student needs and progress. Some also engaged families by offering information sessions on topics such as immigration and health.

Programs that include the whole family or community are particularly helpful for racially, ethnically and linguistically diverse populations and families in rural areas, where young people have limited access to adults other than their caregivers.

When parents are included in the planning process, programs can be designed to better fit their schedules. This might mean districts offer full-day, six-week camps to support children throughout the summer while their parents work. This type of arrangement makes it more likely that kids will be able to attend summer programs – and stave off summer learning loss .

These four approaches help make summer learning programs more culturally responsive, accessible and inclusive. Over the next two years, our research will dive deeper into how districts strengthen equity-based practices and strategies to sustain them long term.

• How community schools can beat summer learning loss for low-income students
• Year-round school: Difference-maker or waste of time?

Rhea Almeida does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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