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Secondary research: definition, methods, & examples.

19 min read This ultimate guide to secondary research helps you understand changes in market trends, customers buying patterns and your competition using existing data sources.

In situations where you’re not involved in the data gathering process ( primary research ), you have to rely on existing information and data to arrive at specific research conclusions or outcomes. This approach is known as secondary research.

In this article, we’re going to explain what secondary research is, how it works, and share some examples of it in practice.

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What is secondary research?

Secondary research, also known as desk research, is a research method that involves compiling existing data sourced from a variety of channels . This includes internal sources (e.g.in-house research) or, more commonly, external sources (such as government statistics, organizational bodies, and the internet).

Secondary research comes in several formats, such as published datasets, reports, and survey responses , and can also be sourced from websites, libraries, and museums.

The information is usually free — or available at a limited access cost — and gathered using surveys , telephone interviews, observation, face-to-face interviews, and more.

When using secondary research, researchers collect, verify, analyze and incorporate it to help them confirm research goals for the research period.

As well as the above, it can be used to review previous research into an area of interest. Researchers can look for patterns across data spanning several years and identify trends — or use it to verify early hypothesis statements and establish whether it’s worth continuing research into a prospective area.

How to conduct secondary research

There are five key steps to conducting secondary research effectively and efficiently:

1.    Identify and define the research topic

First, understand what you will be researching and define the topic by thinking about the research questions you want to be answered.

Ask yourself: What is the point of conducting this research? Then, ask: What do we want to achieve?

This may indicate an exploratory reason (why something happened) or confirm a hypothesis. The answers may indicate ideas that need primary or secondary research (or a combination) to investigate them.

2.    Find research and existing data sources

If secondary research is needed, think about where you might find the information. This helps you narrow down your secondary sources to those that help you answer your questions. What keywords do you need to use?

Which organizations are closely working on this topic already? Are there any competitors that you need to be aware of?

Create a list of the data sources, information, and people that could help you with your work.

3.    Begin searching and collecting the existing data

Now that you have the list of data sources, start accessing the data and collect the information into an organized system. This may mean you start setting up research journal accounts or making telephone calls to book meetings with third-party research teams to verify the details around data results.

As you search and access information, remember to check the data’s date, the credibility of the source, the relevance of the material to your research topic, and the methodology used by the third-party researchers. Start small and as you gain results, investigate further in the areas that help your research’s aims.

4.    Combine the data and compare the results

When you have your data in one place, you need to understand, filter, order, and combine it intelligently. Data may come in different formats where some data could be unusable, while other information may need to be deleted.

After this, you can start to look at different data sets to see what they tell you. You may find that you need to compare the same datasets over different periods for changes over time or compare different datasets to notice overlaps or trends. Ask yourself: What does this data mean to my research? Does it help or hinder my research?

5.    Analyze your data and explore further

In this last stage of the process, look at the information you have and ask yourself if this answers your original questions for your research. Are there any gaps? Do you understand the information you’ve found? If you feel there is more to cover, repeat the steps and delve deeper into the topic so that you can get all the information you need.

If secondary research can’t provide these answers, consider supplementing your results with data gained from primary research. As you explore further, add to your knowledge and update your findings. This will help you present clear, credible information.

Primary vs secondary research

Unlike secondary research, primary research involves creating data first-hand by directly working with interviewees, target users, or a target market. Primary research focuses on the method for carrying out research, asking questions, and collecting data using approaches such as:

  • Interviews (panel, face-to-face or over the phone)
  • Questionnaires or surveys
  • Focus groups

Using these methods, researchers can get in-depth, targeted responses to questions, making results more accurate and specific to their research goals. However, it does take time to do and administer.

Unlike primary research, secondary research uses existing data, which also includes published results from primary research. Researchers summarize the existing research and use the results to support their research goals.

Both primary and secondary research have their places. Primary research can support the findings found through secondary research (and fill knowledge gaps), while secondary research can be a starting point for further primary research. Because of this, these research methods are often combined for optimal research results that are accurate at both the micro and macro level.

Sources of Secondary Research

There are two types of secondary research sources: internal and external. Internal data refers to in-house data that can be gathered from the researcher’s organization. External data refers to data published outside of and not owned by the researcher’s organization.

Internal data

Internal data is a good first port of call for insights and knowledge, as you may already have relevant information stored in your systems. Because you own this information — and it won’t be available to other researchers — it can give you a competitive edge . Examples of internal data include:

  • Database information on sales history and business goal conversions
  • Information from website applications and mobile site data
  • Customer-generated data on product and service efficiency and use
  • Previous research results or supplemental research areas
  • Previous campaign results

External data

External data is useful when you: 1) need information on a new topic, 2) want to fill in gaps in your knowledge, or 3) want data that breaks down a population or market for trend and pattern analysis. Examples of external data include:

  • Government, non-government agencies, and trade body statistics
  • Company reports and research
  • Competitor research
  • Public library collections
  • Textbooks and research journals
  • Media stories in newspapers
  • Online journals and research sites

Three examples of secondary research methods in action

How and why might you conduct secondary research? Let’s look at a few examples:

1.    Collecting factual information from the internet on a specific topic or market

There are plenty of sites that hold data for people to view and use in their research. For example, Google Scholar, ResearchGate, or Wiley Online Library all provide previous research on a particular topic. Researchers can create free accounts and use the search facilities to look into a topic by keyword, before following the instructions to download or export results for further analysis.

This can be useful for exploring a new market that your organization wants to consider entering. For instance, by viewing the U.S Census Bureau demographic data for that area, you can see what the demographics of your target audience are , and create compelling marketing campaigns accordingly.

2.    Finding out the views of your target audience on a particular topic

If you’re interested in seeing the historical views on a particular topic, for example, attitudes to women’s rights in the US, you can turn to secondary sources.

Textbooks, news articles, reviews, and journal entries can all provide qualitative reports and interviews covering how people discussed women’s rights. There may be multimedia elements like video or documented posters of propaganda showing biased language usage.

By gathering this information, synthesizing it, and evaluating the language, who created it and when it was shared, you can create a timeline of how a topic was discussed over time.

3.    When you want to know the latest thinking on a topic

Educational institutions, such as schools and colleges, create a lot of research-based reports on younger audiences or their academic specialisms. Dissertations from students also can be submitted to research journals, making these places useful places to see the latest insights from a new generation of academics.

Information can be requested — and sometimes academic institutions may want to collaborate and conduct research on your behalf. This can provide key primary data in areas that you want to research, as well as secondary data sources for your research.

Advantages of secondary research

There are several benefits of using secondary research, which we’ve outlined below:

  • Easily and readily available data – There is an abundance of readily accessible data sources that have been pre-collected for use, in person at local libraries and online using the internet. This data is usually sorted by filters or can be exported into spreadsheet format, meaning that little technical expertise is needed to access and use the data.
  • Faster research speeds – Since the data is already published and in the public arena, you don’t need to collect this information through primary research. This can make the research easier to do and faster, as you can get started with the data quickly.
  • Low financial and time costs – Most secondary data sources can be accessed for free or at a small cost to the researcher, so the overall research costs are kept low. In addition, by saving on preliminary research, the time costs for the researcher are kept down as well.
  • Secondary data can drive additional research actions – The insights gained can support future research activities (like conducting a follow-up survey or specifying future detailed research topics) or help add value to these activities.
  • Secondary data can be useful pre-research insights – Secondary source data can provide pre-research insights and information on effects that can help resolve whether research should be conducted. It can also help highlight knowledge gaps, so subsequent research can consider this.
  • Ability to scale up results – Secondary sources can include large datasets (like Census data results across several states) so research results can be scaled up quickly using large secondary data sources.

Disadvantages of secondary research

The disadvantages of secondary research are worth considering in advance of conducting research :

  • Secondary research data can be out of date – Secondary sources can be updated regularly, but if you’re exploring the data between two updates, the data can be out of date. Researchers will need to consider whether the data available provides the right research coverage dates, so that insights are accurate and timely, or if the data needs to be updated. Also, fast-moving markets may find secondary data expires very quickly.
  • Secondary research needs to be verified and interpreted – Where there’s a lot of data from one source, a researcher needs to review and analyze it. The data may need to be verified against other data sets or your hypotheses for accuracy and to ensure you’re using the right data for your research.
  • The researcher has had no control over the secondary research – As the researcher has not been involved in the secondary research, invalid data can affect the results. It’s therefore vital that the methodology and controls are closely reviewed so that the data is collected in a systematic and error-free way.
  • Secondary research data is not exclusive – As data sets are commonly available, there is no exclusivity and many researchers can use the same data. This can be problematic where researchers want to have exclusive rights over the research results and risk duplication of research in the future.

When do we conduct secondary research?

Now that you know the basics of secondary research, when do researchers normally conduct secondary research?

It’s often used at the beginning of research, when the researcher is trying to understand the current landscape . In addition, if the research area is new to the researcher, it can form crucial background context to help them understand what information exists already. This can plug knowledge gaps, supplement the researcher’s own learning or add to the research.

Secondary research can also be used in conjunction with primary research. Secondary research can become the formative research that helps pinpoint where further primary research is needed to find out specific information. It can also support or verify the findings from primary research.

You can use secondary research where high levels of control aren’t needed by the researcher, but a lot of knowledge on a topic is required from different angles.

Secondary research should not be used in place of primary research as both are very different and are used for various circumstances.

Questions to ask before conducting secondary research

Before you start your secondary research, ask yourself these questions:

  • Is there similar internal data that we have created for a similar area in the past?

If your organization has past research, it’s best to review this work before starting a new project. The older work may provide you with the answers, and give you a starting dataset and context of how your organization approached the research before. However, be mindful that the work is probably out of date and view it with that note in mind. Read through and look for where this helps your research goals or where more work is needed.

  • What am I trying to achieve with this research?

When you have clear goals, and understand what you need to achieve, you can look for the perfect type of secondary or primary research to support the aims. Different secondary research data will provide you with different information – for example, looking at news stories to tell you a breakdown of your market’s buying patterns won’t be as useful as internal or external data e-commerce and sales data sources.

  • How credible will my research be?

If you are looking for credibility, you want to consider how accurate the research results will need to be, and if you can sacrifice credibility for speed by using secondary sources to get you started. Bear in mind which sources you choose — low-credibility data sites, like political party websites that are highly biased to favor their own party, would skew your results.

  • What is the date of the secondary research?

When you’re looking to conduct research, you want the results to be as useful as possible , so using data that is 10 years old won’t be as accurate as using data that was created a year ago. Since a lot can change in a few years, note the date of your research and look for earlier data sets that can tell you a more recent picture of results. One caveat to this is using data collected over a long-term period for comparisons with earlier periods, which can tell you about the rate and direction of change.

  • Can the data sources be verified? Does the information you have check out?

If you can’t verify the data by looking at the research methodology, speaking to the original team or cross-checking the facts with other research, it could be hard to be sure that the data is accurate. Think about whether you can use another source, or if it’s worth doing some supplementary primary research to replicate and verify results to help with this issue.

We created a front-to-back guide on conducting market research, The ultimate guide to conducting market research , so you can understand the research journey with confidence.

In it, you’ll learn more about:

  • What effective market research looks like
  • The use cases for market research
  • The most important steps to conducting market research
  • And how to take action on your research findings

Download the free guide for a clearer view on secondary research and other key research types for your business.

Related resources

Market intelligence 10 min read, marketing insights 11 min read, ethnographic research 11 min read, qualitative vs quantitative research 13 min read, qualitative research questions 11 min read, qualitative research design 12 min read, primary vs secondary research 14 min read, request demo.

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Home Market Research

Secondary Research: Definition, Methods and Examples.

secondary research

In the world of research, there are two main types of data sources: primary and secondary. While primary research involves collecting new data directly from individuals or sources, secondary research involves analyzing existing data already collected by someone else. Today we’ll discuss secondary research.

One common source of this research is published research reports and other documents. These materials can often be found in public libraries, on websites, or even as data extracted from previously conducted surveys. In addition, many government and non-government agencies maintain extensive data repositories that can be accessed for research purposes.

LEARN ABOUT: Research Process Steps

While secondary research may not offer the same level of control as primary research, it can be a highly valuable tool for gaining insights and identifying trends. Researchers can save time and resources by leveraging existing data sources while still uncovering important information.

What is Secondary Research: Definition

Secondary research is a research method that involves using already existing data. Existing data is summarized and collated to increase the overall effectiveness of the research.

One of the key advantages of secondary research is that it allows us to gain insights and draw conclusions without having to collect new data ourselves. This can save time and resources and also allow us to build upon existing knowledge and expertise.

When conducting secondary research, it’s important to be thorough and thoughtful in our approach. This means carefully selecting the sources and ensuring that the data we’re analyzing is reliable and relevant to the research question . It also means being critical and analytical in the analysis and recognizing any potential biases or limitations in the data.

LEARN ABOUT: Level of Analysis

Secondary research is much more cost-effective than primary research , as it uses already existing data, unlike primary research, where data is collected firsthand by organizations or businesses or they can employ a third party to collect data on their behalf.

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Secondary Research Methods with Examples

Secondary research is cost-effective, one of the reasons it is a popular choice among many businesses and organizations. Not every organization is able to pay a huge sum of money to conduct research and gather data. So, rightly secondary research is also termed “ desk research ”, as data can be retrieved from sitting behind a desk.

secondary research examples

The following are popularly used secondary research methods and examples:

1. Data Available on The Internet

One of the most popular ways to collect secondary data is the internet. Data is readily available on the internet and can be downloaded at the click of a button.

This data is practically free of cost, or one may have to pay a negligible amount to download the already existing data. Websites have a lot of information that businesses or organizations can use to suit their research needs. However, organizations need to consider only authentic and trusted website to collect information.

2. Government and Non-Government Agencies

Data for secondary research can also be collected from some government and non-government agencies. For example, US Government Printing Office, US Census Bureau, and Small Business Development Centers have valuable and relevant data that businesses or organizations can use.

There is a certain cost applicable to download or use data available with these agencies. Data obtained from these agencies are authentic and trustworthy.

3. Public Libraries

Public libraries are another good source to search for data for this research. Public libraries have copies of important research that were conducted earlier. They are a storehouse of important information and documents from which information can be extracted.

The services provided in these public libraries vary from one library to another. More often, libraries have a huge collection of government publications with market statistics, large collection of business directories and newsletters.

4. Educational Institutions

Importance of collecting data from educational institutions for secondary research is often overlooked. However, more research is conducted in colleges and universities than any other business sector.

The data that is collected by universities is mainly for primary research. However, businesses or organizations can approach educational institutions and request for data from them.

5. Commercial Information Sources

Local newspapers, journals, magazines, radio and TV stations are a great source to obtain data for secondary research. These commercial information sources have first-hand information on economic developments, political agenda, market research, demographic segmentation and similar subjects.

Businesses or organizations can request to obtain data that is most relevant to their study. Businesses not only have the opportunity to identify their prospective clients but can also know about the avenues to promote their products or services through these sources as they have a wider reach.

Key Differences between Primary Research and Secondary Research

Understanding the distinction between primary research and secondary research is essential in determining which research method is best for your project. These are the two main types of research methods, each with advantages and disadvantages. In this section, we will explore the critical differences between the two and when it is appropriate to use them.

How to Conduct Secondary Research?

We have already learned about the differences between primary and secondary research. Now, let’s take a closer look at how to conduct it.

Secondary research is an important tool for gathering information already collected and analyzed by others. It can help us save time and money and allow us to gain insights into the subject we are researching. So, in this section, we will discuss some common methods and tips for conducting it effectively.

Here are the steps involved in conducting secondary research:

1. Identify the topic of research: Before beginning secondary research, identify the topic that needs research. Once that’s done, list down the research attributes and its purpose.

2. Identify research sources: Next, narrow down on the information sources that will provide most relevant data and information applicable to your research.

3. Collect existing data: Once the data collection sources are narrowed down, check for any previous data that is available which is closely related to the topic. Data related to research can be obtained from various sources like newspapers, public libraries, government and non-government agencies etc.

4. Combine and compare: Once data is collected, combine and compare the data for any duplication and assemble data into a usable format. Make sure to collect data from authentic sources. Incorrect data can hamper research severely.

4. Analyze data: Analyze collected data and identify if all questions are answered. If not, repeat the process if there is a need to dwell further into actionable insights.

Advantages of Secondary Research

Secondary research offers a number of advantages to researchers, including efficiency, the ability to build upon existing knowledge, and the ability to conduct research in situations where primary research may not be possible or ethical. By carefully selecting their sources and being thoughtful in their approach, researchers can leverage secondary research to drive impact and advance the field. Some key advantages are the following:

1. Most information in this research is readily available. There are many sources from which relevant data can be collected and used, unlike primary research, where data needs to collect from scratch.

2. This is a less expensive and less time-consuming process as data required is easily available and doesn’t cost much if extracted from authentic sources. A minimum expenditure is associated to obtain data.

3. The data that is collected through secondary research gives organizations or businesses an idea about the effectiveness of primary research. Hence, organizations or businesses can form a hypothesis and evaluate cost of conducting primary research.

4. Secondary research is quicker to conduct because of the availability of data. It can be completed within a few weeks depending on the objective of businesses or scale of data needed.

As we can see, this research is the process of analyzing data already collected by someone else, and it can offer a number of benefits to researchers.

Disadvantages of Secondary Research

On the other hand, we have some disadvantages that come with doing secondary research. Some of the most notorious are the following:

1. Although data is readily available, credibility evaluation must be performed to understand the authenticity of the information available.

2. Not all secondary data resources offer the latest reports and statistics. Even when the data is accurate, it may not be updated enough to accommodate recent timelines.

3. Secondary research derives its conclusion from collective primary research data. The success of your research will depend, to a greater extent, on the quality of research already conducted by primary research.

LEARN ABOUT: 12 Best Tools for Researchers

In conclusion, secondary research is an important tool for researchers exploring various topics. By leveraging existing data sources, researchers can save time and resources, build upon existing knowledge, and conduct research in situations where primary research may not be feasible.

There are a variety of methods and examples of secondary research, from analyzing public data sets to reviewing previously published research papers. As students and aspiring researchers, it’s important to understand the benefits and limitations of this research and to approach it thoughtfully and critically. By doing so, we can continue to advance our understanding of the world around us and contribute to meaningful research that positively impacts society.

QuestionPro can be a useful tool for conducting secondary research in a variety of ways. You can create online surveys that target a specific population, collecting data that can be analyzed to gain insights into consumer behavior, attitudes, and preferences; analyze existing data sets that you have obtained through other means or benchmark your organization against others in your industry or against industry standards. The software provides a range of benchmarking tools that can help you compare your performance on key metrics, such as customer satisfaction, with that of your peers.

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An illustration of a magnifying glass over a stack of reports representing secondary research.

Secondary Research Guide: Definition, Methods, Examples

Apr 3, 2024

8 min. read

The internet has vastly expanded our access to information, allowing us to learn almost anything about everything. But not all market research is created equal , and this secondary research guide explains why.

There are two key ways to do research. One is to test your own ideas, make your own observations, and collect your own data to derive conclusions. The other is to use secondary research — where someone else has done most of the heavy lifting for you. 

Here’s an overview of secondary research and the value it brings to data-driven businesses.

Secondary Research Definition: What Is Secondary Research?

Primary vs Secondary Market Research

What Are Secondary Research Methods?

Advantages of secondary research, disadvantages of secondary research, best practices for secondary research, how to conduct secondary research with meltwater.

Secondary research definition: The process of collecting information from existing sources and data that have already been analyzed by others.

Secondary research (aka desk research or complementary research ) provides a foundation to help you understand a topic, with the goal of building on existing knowledge. They often cover the same information as primary sources, but they add a layer of analysis and explanation to them.

colleagues working on a secondary research

Users can choose from several secondary research types and sources, including:

  • Journal articles
  • Research papers

With secondary sources, users can draw insights, detect trends , and validate findings to jumpstart their research efforts.

Primary vs. Secondary Market Research

We’ve touched a little on primary research , but it’s essential to understand exactly how primary and secondary research are unique.

laying out the keypoints of a secondary research on a board

Think of primary research as the “thing” itself, and secondary research as the analysis of the “thing,” like these primary and secondary research examples:

  • An expert gives an interview (primary research) and a marketer uses that interview to write an article (secondary research).
  • A company conducts a consumer satisfaction survey (primary research) and a business analyst uses the survey data to write a market trend report (secondary research).
  • A marketing team launches a new advertising campaign across various platforms (primary research) and a marketing research firm, like Meltwater for market research , compiles the campaign performance data to benchmark against industry standards (secondary research).

In other words, primary sources make original contributions to a topic or issue, while secondary sources analyze, synthesize, or interpret primary sources.

Both are necessary when optimizing a business, gaining a competitive edge , improving marketing, or understanding consumer trends that may impact your business.

Secondary research methods focus on analyzing existing data rather than collecting primary data . Common examples of secondary research methods include:

  • Literature review . Researchers analyze and synthesize existing literature (e.g., white papers, research papers, articles) to find knowledge gaps and build on current findings.
  • Content analysis . Researchers review media sources and published content to find meaningful patterns and trends.
  • AI-powered secondary research . Platforms like Meltwater for market research analyze vast amounts of complex data and use AI technologies like natural language processing and machine learning to turn data into contextual insights.

Researchers today have access to more secondary research companies and market research tools and technology than ever before, allowing them to streamline their efforts and improve their findings.

Want to see how Meltwater can complement your secondary market research efforts? Simply fill out the form at the bottom of this post, and we'll be in touch.

Conducting secondary research offers benefits in every job function and use case, from marketing to the C-suite. Here are a few advantages you can expect.

Cost and time efficiency

Using existing research saves you time and money compared to conducting primary research. Secondary data is readily available and easily accessible via libraries, free publications, or the Internet. This is particularly advantageous when you face time constraints or when a project requires a large amount of data and research.

Access to large datasets

Secondary data gives you access to larger data sets and sample sizes compared to what primary methods may produce. Larger sample sizes can improve the statistical power of the study and add more credibility to your findings.

Ability to analyze trends and patterns

Using larger sample sizes, researchers have more opportunities to find and analyze trends and patterns. The more data that supports a trend or pattern, the more trustworthy the trend becomes and the more useful for making decisions. 

Historical context

Using a combination of older and recent data allows researchers to gain historical context about patterns and trends. Learning what’s happened before can help decision-makers gain a better current understanding and improve how they approach a problem or project.

Basis for further research

Ideally, you’ll use secondary research to further other efforts . Secondary sources help to identify knowledge gaps, highlight areas for improvement, or conduct deeper investigations.

Tip: Learn how to use Meltwater as a research tool and how Meltwater uses AI.

Secondary research comes with a few drawbacks, though these aren’t necessarily deal breakers when deciding to use secondary sources.

Reliability concerns

Researchers don’t always know where the data comes from or how it’s collected, which can lead to reliability concerns. They don’t control the initial process, nor do they always know the original purpose for collecting the data, both of which can lead to skewed results.

Potential bias

The original data collectors may have a specific agenda when doing their primary research, which may lead to biased findings. Evaluating the credibility and integrity of secondary data sources can prove difficult.

Outdated information

Secondary sources may contain outdated information, especially when dealing with rapidly evolving trends or fields. Using outdated information can lead to inaccurate conclusions and widen knowledge gaps.

Limitations in customization

Relying on secondary data means being at the mercy of what’s already published. It doesn’t consider your specific use cases, which limits you as to how you can customize and use the data.

A lack of relevance

Secondary research rarely holds all the answers you need, at least from a single source. You typically need multiple secondary sources to piece together a narrative, and even then you might not find the specific information you need.

To make secondary market research your new best friend, you’ll need to think critically about its strengths and find ways to overcome its weaknesses. Let’s review some best practices to use secondary research to its fullest potential.

Identify credible sources for secondary research

To overcome the challenges of bias, accuracy, and reliability, choose secondary sources that have a demonstrated history of excellence . For example, an article published in a medical journal naturally has more credibility than a blog post on a little-known website.

analyzing data resulting from a secondary research

Assess credibility based on peer reviews, author expertise, sampling techniques, publication reputation, and data collection methodologies. Cross-reference the data with other sources to gain a general consensus of truth.

The more credibility “factors” a source has, the more confidently you can rely on it. 

Evaluate the quality and relevance of secondary data

You can gauge the quality of the data by asking simple questions:

  • How complete is the data? 
  • How old is the data? 
  • Is this data relevant to my needs?
  • Does the data come from a known, trustworthy source?

It’s best to focus on data that aligns with your research objectives. Knowing the questions you want to answer and the outcomes you want to achieve ahead of time helps you focus only on data that offers meaningful insights.

Document your sources 

If you’re sharing secondary data with others, it’s essential to document your sources to gain others’ trust. They don’t have the benefit of being “in the trenches” with you during your research, and sharing your sources can add credibility to your findings and gain instant buy-in.

Secondary market research offers an efficient, cost-effective way to learn more about a topic or trend, providing a comprehensive understanding of the customer journey . Compared to primary research, users can gain broader insights, analyze trends and patterns, and gain a solid foundation for further exploration by using secondary sources.

Meltwater for market research speeds up the time to value in using secondary research with AI-powered insights, enhancing your understanding of the customer journey. Using natural language processing, machine learning, and trusted data science processes, Meltwater helps you find relevant data and automatically surfaces insights to help you understand its significance. Our solution identifies hidden connections between data points you might not know to look for and spells out what the data means, allowing you to make better decisions based on accurate conclusions. Learn more about Meltwater's power as a secondary research solution when you request a demo by filling out the form below:

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What is Secondary Research? Types, Methods, Examples

Appinio Research · 20.09.2023 · 13min read

What Is Secondary Research Types Methods Examples

Have you ever wondered how researchers gather valuable insights without conducting new experiments or surveys? That's where secondary research steps in—a powerful approach that allows us to explore existing data and information others collect.

Whether you're a student, a professional, or someone seeking to make informed decisions, understanding the art of secondary research opens doors to a wealth of knowledge.

What is Secondary Research?

Secondary Research refers to the process of gathering and analyzing existing data, information, and knowledge that has been previously collected and compiled by others. This approach allows researchers to leverage available sources, such as articles, reports, and databases, to gain insights, validate hypotheses, and make informed decisions without collecting new data.

Benefits of Secondary Research

Secondary research offers a range of advantages that can significantly enhance your research process and the quality of your findings.

  • Time and Cost Efficiency: Secondary research saves time and resources by utilizing existing data sources, eliminating the need for data collection from scratch.
  • Wide Range of Data: Secondary research provides access to vast information from various sources, allowing for comprehensive analysis.
  • Historical Perspective: Examining past research helps identify trends, changes, and long-term patterns that might not be immediately apparent.
  • Reduced Bias: As data is collected by others, there's often less inherent bias than in conducting primary research, where biases might affect data collection.
  • Support for Primary Research: Secondary research can lay the foundation for primary research by providing context and insights into gaps in existing knowledge.
  • Comparative Analysis : By integrating data from multiple sources, you can conduct robust comparative analyses for more accurate conclusions.
  • Benchmarking and Validation: Secondary research aids in benchmarking performance against industry standards and validating hypotheses.

Primary Research vs. Secondary Research

When it comes to research methodologies, primary and secondary research each have their distinct characteristics and advantages. Here's a brief comparison to help you understand the differences.

Primary vs Secondary Research Comparison Appinio

Primary Research

  • Data Source: Involves collecting new data directly from original sources.
  • Data Collection: Researchers design and conduct surveys, interviews, experiments, or observations.
  • Time and Resources: Typically requires more time, effort, and resources due to data collection.
  • Fresh Insights: Provides firsthand, up-to-date information tailored to specific research questions.
  • Control: Researchers control the data collection process and can shape methodologies.

Secondary Research

  • Data Source: Involves utilizing existing data and information collected by others.
  • Data Collection: Researchers search, select, and analyze data from published sources, reports, and databases.
  • Time and Resources: Generally more time-efficient and cost-effective as data is already available.
  • Existing Knowledge: Utilizes data that has been previously compiled, often providing broader context.
  • Less Control: Researchers have limited control over how data was collected originally, if any.

Choosing between primary and secondary research depends on your research objectives, available resources, and the depth of insights you require.

Types of Secondary Research

Secondary research encompasses various types of existing data sources that can provide valuable insights for your research endeavors. Understanding these types can help you choose the most relevant sources for your objectives.

Here are the primary types of secondary research:

Internal Sources

Internal sources consist of data generated within your organization or entity. These sources provide valuable insights into your own operations and performance.

  • Company Records and Data: Internal reports, documents, and databases that house information about sales, operations, and customer interactions.
  • Sales Reports and Customer Data: Analysis of past sales trends, customer demographics, and purchasing behavior.
  • Financial Statements and Annual Reports: Financial data, such as balance sheets and income statements, offer insights into the organization's financial health.

External Sources

External sources encompass data collected and published by entities outside your organization.

These sources offer a broader perspective on various subjects.

  • Published Literature and Journals: Scholarly articles, research papers, and academic studies available in journals or online databases.
  • Market Research Reports: Reports from market research firms that provide insights into industry trends, consumer behavior, and market forecasts.
  • Government and NGO Databases: Data collected and maintained by government agencies and non-governmental organizations, offering demographic, economic, and social information.
  • Online Media and News Articles: News outlets and online publications that cover current events, trends, and societal developments.

Each type of secondary research source holds its value and relevance, depending on the nature of your research objectives. Combining these sources lets you understand the subject matter and make informed decisions.

How to Conduct Secondary Research?

Effective secondary research involves a thoughtful and systematic approach that enables you to extract valuable insights from existing data sources. Here's a step-by-step guide on how to navigate the process:

1. Define Your Research Objectives

Before delving into secondary research, clearly define what you aim to achieve. Identify the specific questions you want to answer, the insights you're seeking, and the scope of your research.

2. Identify Relevant Sources

Begin by identifying the most appropriate sources for your research. Consider the nature of your research objectives and the data type you require. Seek out sources such as academic journals, market research reports, official government databases, and reputable news outlets.

3. Evaluate Source Credibility

Ensuring the credibility of your sources is crucial. Evaluate the reliability of each source by assessing factors such as the author's expertise, the publication's reputation, and the objectivity of the information provided. Choose sources that align with your research goals and are free from bias.

4. Extract and Analyze Information

Once you've gathered your sources, carefully extract the relevant information. Take thorough notes, capturing key data points, insights, and any supporting evidence. As you accumulate information, start identifying patterns, trends, and connections across different sources.

5. Synthesize Findings

As you analyze the data, synthesize your findings to draw meaningful conclusions. Compare and contrast information from various sources to identify common themes and discrepancies. This synthesis process allows you to construct a coherent narrative that addresses your research objectives.

6. Address Limitations and Gaps

Acknowledge the limitations and potential gaps in your secondary research. Recognize that secondary data might have inherent biases or be outdated. Where necessary, address these limitations by cross-referencing information or finding additional sources to fill in gaps.

7. Contextualize Your Findings

Contextualization is crucial in deriving actionable insights from your secondary research. Consider the broader context within which the data was collected. How does the information relate to current trends, societal changes, or industry shifts? This contextual understanding enhances the relevance and applicability of your findings.

8. Cite Your Sources

Maintain academic integrity by properly citing the sources you've used for your secondary research. Accurate citations not only give credit to the original authors but also provide a clear trail for readers to access the information themselves.

9. Integrate Secondary and Primary Research (If Applicable)

In some cases, combining secondary and primary research can yield more robust insights. If you've also conducted primary research, consider integrating your secondary findings with your primary data to provide a well-rounded perspective on your research topic.

You can use a market research platform like Appinio to conduct primary research with real-time insights in minutes!

10. Communicate Your Findings

Finally, communicate your findings effectively. Whether it's in an academic paper, a business report, or any other format, present your insights clearly and concisely. Provide context for your conclusions and use visual aids like charts and graphs to enhance understanding.

Remember that conducting secondary research is not just about gathering information—it's about critically analyzing, interpreting, and deriving valuable insights from existing data. By following these steps, you'll navigate the process successfully and contribute to the body of knowledge in your field.

Secondary Research Examples

To better understand how secondary research is applied in various contexts, let's explore a few real-world examples that showcase its versatility and value.

Market Analysis and Trend Forecasting

Imagine you're a marketing strategist tasked with launching a new product in the smartphone industry. By conducting secondary research, you can:

  • Access Market Reports: Utilize market research reports to understand consumer preferences, competitive landscape, and growth projections.
  • Analyze Trends: Examine past sales data and industry reports to identify trends in smartphone features, design, and user preferences.
  • Benchmark Competitors: Compare market share, customer satisfaction, and pricing strategies of key competitors to develop a strategic advantage.
  • Forecast Demand: Use historical sales data and market growth predictions to estimate demand for your new product.

Academic Research and Literature Reviews

Suppose you're a student researching climate change's effects on marine ecosystems. Secondary research aids your academic endeavors by:

  • Reviewing Existing Studies: Analyze peer-reviewed articles and scientific papers to understand the current state of knowledge on the topic.
  • Identifying Knowledge Gaps: Identify areas where further research is needed based on what existing studies still need to cover.
  • Comparing Methodologies: Compare research methodologies used by different studies to assess the strengths and limitations of their approaches.
  • Synthesizing Insights: Synthesize findings from various studies to form a comprehensive overview of the topic's implications on marine life.

Competitive Landscape Assessment for Business Strategy

Consider you're a business owner looking to expand your restaurant chain to a new location. Secondary research aids your strategic decision-making by:

  • Analyzing Demographics: Utilize demographic data from government databases to understand the local population's age, income, and preferences.
  • Studying Local Trends: Examine restaurant industry reports to identify the types of cuisines and dining experiences currently popular in the area.
  • Understanding Consumer Behavior: Analyze online reviews and social media discussions to gauge customer sentiment towards existing restaurants in the vicinity.
  • Assessing Economic Conditions: Access economic reports to evaluate the local economy's stability and potential purchasing power.

These examples illustrate the practical applications of secondary research across various fields to provide a foundation for informed decision-making, deeper understanding, and innovation.

Secondary Research Limitations

While secondary research offers many benefits, it's essential to be aware of its limitations to ensure the validity and reliability of your findings.

  • Data Quality and Validity: The accuracy and reliability of secondary data can vary, affecting the credibility of your research.
  • Limited Contextual Information: Secondary sources might lack detailed contextual information, making it important to interpret findings within the appropriate context.
  • Data Suitability: Existing data might not align perfectly with your research objectives, leading to compromises or incomplete insights.
  • Outdated Information: Some sources might provide obsolete information that doesn't accurately reflect current trends or situations.
  • Potential Bias: While secondary data is often less biased, biases might still exist in the original data sources, influencing your findings.
  • Incompatibility of Data: Combining data from different sources might pose challenges due to variations in definitions, methodologies, or units of measurement.
  • Lack of Control: Unlike primary research, you have no control over how data was collected or its quality, potentially affecting your analysis. Understanding these limitations will help you navigate secondary research effectively and make informed decisions based on a well-rounded understanding of its strengths and weaknesses.

Secondary research is a valuable tool that businesses can use to their advantage. By tapping into existing data and insights, companies can save time, resources, and effort that would otherwise be spent on primary research. This approach equips decision-makers with a broader understanding of market trends, consumer behaviors, and competitive landscapes. Additionally, benchmarking against industry standards and validating hypotheses empowers businesses to make informed choices that lead to growth and success.

As you navigate the world of secondary research, remember that it's not just about data retrieval—it's about strategic utilization. With a clear grasp of how to access, analyze, and interpret existing information, businesses can stay ahead of the curve, adapt to changing landscapes, and make decisions that are grounded in reliable knowledge.

How to Conduct Secondary Research in Minutes?

In the world of decision-making, having access to real-time consumer insights is no longer a luxury—it's a necessity. That's where Appinio comes in, revolutionizing how businesses gather valuable data for better decision-making. As a real-time market research platform, Appinio empowers companies to tap into the pulse of consumer opinions swiftly and seamlessly.

  • Fast Insights: Say goodbye to lengthy research processes. With Appinio, you can transform questions into actionable insights in minutes.
  • Data-Driven Decisions: Harness the power of real-time consumer insights to drive your business strategies, allowing you to make informed choices on the fly.
  • Seamless Integration: Appinio handles the research and technical complexities, freeing you to focus on what truly matters: making rapid data-driven decisions that propel your business forward.

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  • What is Secondary Research? + [Methods & Examples]

busayo.longe

In some situations, the researcher may not be directly involved in the data gathering process and instead, would rely on already existing data in order to arrive at research outcomes. This approach to systematic investigation is known as secondary research. 

There are many reasons a researcher may want to make use of already existing data instead of collecting data samples, first-hand. In this article, we will share some of these reasons with you and show you how to conduct secondary research with Formplus. 

What is Secondary  Research?

Secondary research is a common approach to a systematic investigation in which the researcher depends solely on existing data in the course of the research process. This research design involves organizing, collating and analyzing these data samples for valid research conclusions. 

Secondary research is also known as desk research since it involves synthesizing existing data that can be sourced from the internet, peer-reviewed journals , textbooks, government archives, and libraries. What the secondary researcher does is to study already established patterns in previous researches and apply this information to the specific research context. 

Interestingly, secondary research often relies on data provided by primary research and this is why some researches combine both methods of investigation. In this sense, the researcher begins by evaluating and identifying gaps in existing knowledge before adopting primary research to gather new information that will serve his or her research. 

What are Secondary Research Methods?

As already highlighted, secondary research involves data assimilation from different sources, that is, using available research materials instead of creating a new pool of data using primary research methods. Common secondary research methods include data collection through the internet, libraries, archives, schools and organizational reports. 

  • Online Data

Online data is data that is gathered via the internet. In recent times, this method has become popular because the internet provides a large pool of both free and paid research resources that can be easily accessed with the click of a button. 

While this method simplifies the data gathering process , the researcher must take care to depend solely on authentic sites when collecting information. In some way, the internet is a virtual aggregation for all other sources of secondary research data. 

  • Data from Government and Non-government Archives

You can also gather useful research materials from government and non-government archives and these archives usually contain verifiable information that provides useful insights on varying research contexts. In many cases, you would need to pay a sum to gain access to these data. 

The challenge, however, is that such data is not always readily available due to a number of factors. For instance, some of these materials are described as classified information as such, it would be difficult for researchers to have access to them. 

  • Data from Libraries

Research materials can also be accessed through public and private libraries. Think of a library as an information storehouse that contains an aggregation of important information that can serve as valid data in different research contexts. 

Typically, researchers donate several copies of dissertations to public and private libraries; especially in cases of academic research. Also, business directories, newsletters, annual reports and other similar documents that can serve as research data, are gathered and stored in libraries, in both soft and hard copies. 

  • Data from Institutions of Learning

Educational facilities like schools, faculties, and colleges are also a great source of secondary data; especially in academic research. This is because a lot of research is carried out in educational institutions more than in other sectors. 

It is relatively easier to obtain research data from educational institutions because these institutions are committed to solving problems and expanding the body of knowledge. You can easily request research materials from educational facilities for the purpose of a literature review. 

Secondary research methods can also be categorized into qualitative and quantitative data collection methods . Quantitative data gathering methods include online questionnaires and surveys, reports about trends plus statistics about different areas of a business or industry.  

Qualitative research methods include relying on previous interviews and data gathered through focus groups which helps an organization to understand the needs of its customers and plan to fulfill these needs. It also helps businesses to measure the level of employee satisfaction with organizational policies. 

When Do We Conduct Secondary Research?

Typically, secondary research is the first step in any systematic investigation. This is because it helps the researcher to understand what research efforts have been made so far and to utilize this knowledge in mapping out a novel direction for his or her investigation. 

For instance, you may want to carry out research into the nature of a respiratory condition with the aim of developing a vaccine. The best place to start is to gather existing research material about the condition which would help to point your research in the right direction. 

When sifting through these pieces of information, you would gain insights into methods and findings from previous researches which would help you define your own research process. Secondary research also helps you to identify knowledge gaps that can serve as the name of your own research. 

Questions to ask before conducting Secondary Research

Since secondary research relies on already existing data, the researcher must take extra care to ensure that he or she utilizes authentic data samples for the research. Falsified data can have a negative impact on the research outcomes; hence, it is important to always carry out resource evaluation by asking a number of questions as highlighted below:

  • What is the purpose of the research? Again, it is important for every researcher to clearly define the purpose of the research before proceeding with it. Usually, the research purpose determines the approach that would be adopted. 
  • What is my research methodology? After identifying the purpose of the research, the next thing to do is outline the research methodology. This is the point where the researcher chooses to gather data using secondary research methods. 
  • What are my expected research outcomes? 
  • Who collected the data to be analyzed? Before going on to use secondary data for your research, it is necessary to ascertain the authenticity of the information. This usually affects the data reliability and determines if the researcher can trust the materials.  For instance, data gathered from personal blogs and websites may not be as credible as information obtained from an organization’s website. 
  • When was the data collected? Data recency is another factor that must be considered since the recency of data can affect research outcomes. For instance, if you are carrying out research into the number of women who smoke in London, it would not be appropriate for you to make use of information that was gathered 5 years ago unless you plan to do some sort of data comparison. 
  • Is the data consistent with other data available from other sources? Always compare and contrast your data with other available research materials as this would help you to identify inconsistencies if any.
  • What type of data was collected? Take care to determine if the secondary data aligns with your research goals and objectives. 
  • How was the data collected? 

Advantages of Secondary Research

  • Easily Accessible With secondary research, data can easily be accessed in no time; especially with the use of the internet. Apart from the internet, there are different data sources available in secondary research like public libraries and archives which are relatively easy to access too. 
  • Secondary research is cost-effective and it is not time-consuming. The researcher can cut down on costs because he or she is not directly involved in the data collection process which is also time-consuming. 
  • Secondary research helps researchers to identify knowledge gaps which can serve as the basis of further systematic investigation. 
  • It is useful for mapping out the scope of research thereby setting the stage for field investigations. When carrying out secondary research, the researchers may find that the exact information they were looking for is already available, thus eliminating the need and expense incurred in carrying out primary research in these areas. 

Disadvantages of Secondary Research  

  • Questionable Data: With secondary research, it is hard to determine the authenticity of the data because the researcher is not directly involved in the research process. Invalid data can affect research outcomes negatively hence, it is important for the researcher to take extra care by evaluating the data before making use of it. 
  • Generalization: Secondary data is unspecific in nature and may not directly cater to the needs of the researcher. There may not be correlations between the existing data and the research process. 
  • Common Data: Research materials in secondary research are not exclusive to an individual or group. This means that everyone has access to the data and there is little or no “information advantage” gained by those who obtain the research.
  • It has the risk of outdated research materials. Outdated information may offer little value especially for organizations competing in fast-changing markets.

How to Conduct Online Surveys with Formplus 

Follow these 5 steps to create and administer online surveys for secondary research: 

  • Sign into Formplus

In the Formplus builder, you can easily create an online survey for secondary research by dragging and dropping preferred fields into your form. To access the Formplus builder, you will need to create an account on Formplus. 

Once you do this, sign in to your account and click on “Create Form ” to begin. 

formplus

  • Edit Form Title

secondary-research-survey

Click on the field provided to input your form title, for example, “Secondary Research Survey”.

  • Click on the edit button to edit the form.

secondary-research-survey

  • Add Fields: Drag and drop preferred form fields into your form in the Formplus builder inputs column. There are several field input options for questionnaires in the Formplus builder. 
  • Edit fields
  • Click on “Save”
  • Preview form. 
  • Customize your Form

secondary research examples

With the form customization options in the form builder, you can easily change the outlook of your form and make it more unique and personalized. Formplus allows you to change your form theme, add background images and even change the font according to your needs. 

  • Multiple Sharing Options

secondary research examples

Formplus offers multiple form sharing options which enables you to easily share your questionnaire with respondents. You can use the direct social media sharing buttons to share your form link to your organization’s social media pages. 

You can send out your survey form as email invitations to your research subjects too. If you wish, you can share your form’s QR code or embed it on your organization’s website for easy access. 

Why Use Formplus as a Secondary Research Tool?

  • Simple Form Builder Solution

The Formplus form builder is easy to use and does not require you to have any knowledge in computer programming, unlike other form builders. For instance, you can easily add form fields to your form by dragging and dropping them from the inputs section in the builder. 

In the form builder, you can also modify your fields to be hidden or read-only and you can create smart forms with save and resume options, form lookup, and conditional logic. Formplus also allows you to customize your form by adding preferred background images and your organization’s logo. 

  • Over 25 Form Fields

With over 25 versatile form fields available in the form builder, you can easily collect data the way you like. You can receive payments directly in your form by adding payment fields and you can also add file upload fields to allow you receive files in your form too. 

  • Offline Form feature

With Formplus, you can collect data from respondents even without internet connectivity . Formplus automatically detects when there is no or poor internet access and allows forms to be filled out and submitted in offline mode. 

Offline form responses are automatically synced with the servers when the internet connection is restored. This feature is extremely useful for field research that may involve sourcing for data in remote and rural areas plus it allows you to scale up on your audience reach. 

  • Team and Collaboration

 You can add important collaborators and team members to your shared account so that you all can work on forms and responses together. With the multiple users options, you can assign different roles to team members and you can also grant and limit access to forms and folders. 

This feature works with an audit trail that enables you to track changes and suggestions made to your form as the administrator of the shared account. You can set up permissions to limit access to the account while organizing and monitoring your form(s) effectively. 

  • Embeddable Form

Formplus allows you to easily add your form with respondents with the click of a button. For instance, you can directly embed your form in your organization’s web pages by adding Its unique shortcode to your site’s HTML. 

You can also share your form to your social media pages using the social media direct sharing buttons available in the form builder. You can choose to embed the form as an iframe or web pop-up that is easy to fill. 

With Formplus, you can share your form with numerous form respondents in no time. You can invite respondents to fill out your form via email invitation which allows you to also track responses and prevent multiple submissions in your form. 

In addition, you can also share your form link as a QR code so that respondents only need to scan the code to access your form. Our forms have a unique QR code that you can add to your website or print in banners, business cards and the like. 

While secondary research can be cost-effective and time-efficient, it requires the researcher to take extra care in ensuring that the data is authentic and valid. As highlighted earlier, data in secondary research can be sourced through the internet, archives, and libraries, amongst other methods. 

Secondary research is usually the starting point of systematic investigation because it provides the researcher with a background of existing research efforts while identifying knowledge gaps to be filled. This type of research is typically used in science and education. 

It is, however, important to note that secondary research relies on the outcomes of collective primary research data in carrying out its systematic investigation. Hence, the success of your research will depend, to a greater extent, on the quality of data provided by primary research in relation to the research context.

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What is secondary research?

Last updated

7 February 2023

Reviewed by

Cathy Heath

In this guide, we explain in detail what secondary research is, including the difference between this research method and primary research, the different sources for secondary research, and how you can benefit from this research method.

Analyze your secondary research

Bring your secondary research together inside Dovetail, tag PDFs, and uncover actionable insights

  • Overview of secondary research

Secondary research is a method by which the researcher finds existing data, filters it to meet the context of their research question, analyzes it, and then summarizes it to come up with valid research conclusions.

This research method involves searching for information, often via the internet, using keywords or search terms relevant to the research question. The goal is to find data from internal and external sources that are up-to-date and authoritative, and that fully answer the question.

Secondary research reviews existing research and looks for patterns, trends, and insights, which helps determine what further research, if any, is needed.

  • Secondary research methods

Secondary research is more economical than primary research, mainly because the methods for this type of research use existing data and do not require the data to be collected first-hand or by a third party that you have to pay.

Secondary research is referred to as ‘desk research’ or ‘desktop research,’ since the data can be retrieved from behind a desk instead of having to host a focus group and create the research from scratch.

Finding existing research is relatively easy since there are numerous accessible sources organizations can use to obtain the information they need. These  include:

The internet:  This data is either free or behind a paywall. Yet, while there are plenty of sites on the internet with information that can be used, businesses need to be careful to collect information from trusted and authentic websites to ensure the data is accurate.

Government agencies: Government agencies are typically known to provide valuable, trustworthy information that companies can use for their research.

The public library: This establishment holds paper-based and online sources of reliable information, including business databases, magazines, newspapers, and government publications. Be mindful of any copyright restrictions that may apply when using these sources.

Commercial information: This source provides first-hand information on politics, demographics, and economic developments through information aggregators, newspapers, magazines, radio, blogs, podcasts, and journals. This information may be free or behind a paywall.

Educational and scientific facilities: Universities, colleges, and specialized research facilities carry out significant amounts of research. As a result, they have data that may be available to the public and businesses for use.

  • Key differences between primary research and secondary research

Both primary and secondary research methods provide researchers with vital, complementary information, despite some major differences between the two approaches.

Primary research involves gathering first-hand information by directly working with the target market, users, and interviewees. Researchers ask questions directly using surveys , interviews, and focus groups.

Through the primary research method, researchers obtain targeted responses and accurate results directly related to their overall research goals.

Secondary research uses existing data, such as published reports, that have already been completed through earlier primary and secondary research. Researchers can use this existing data to support their research goals and preliminary research findings.

Other notable differences between primary and secondary research  include:

Relevance: Primary research uses raw data relevant to the investigation's goals. Secondary research may contain irrelevant data or may not neatly fit the parameters of the researcher's goals.

Time: Primary research takes a lot of time. Secondary research can be done relatively quickly.

Researcher bias: Primary research can be subject to researcher bias.

Cost: Primary research can be expensive. Secondary research can be more affordable because the data is often free. However, valuable data is often behind a paywall. The piece of secondary research you want may not exist or be very expensive, so you may have to turn to primary research to fill the information gap.

  • When to conduct secondary research

Both primary and secondary research have roles to play in providing a holistic and accurate understanding of a topic. Generally, secondary research is done at the beginning of the research phase, especially if the topic is new.

Secondary research can provide context and critical background information to understand the issue at hand and identify any gaps, that could then be filled by primary research.

  • How to conduct secondary research

Researchers usually follow several steps for secondary research.

1. Identify and define the research topic

Before starting either of these research methods, you first need to determine the following:

Topic to be researched

Purpose of this research

For instance, you may want to explore a question, determine why something happened, or confirm whether an issue is true.

At this stage, you also need to consider what search terms or keywords might be the most effective for this topic. You could do this by looking at what synonyms exist for your topic, the use of industry terms and acronyms, as well as the balance between statistical or quantitative data and contextual data to support your research topic.

It’s also essential to define what you don’t want to cover in your secondary research process. This might be choosing only to use recent information or only focusing on research based on a particular country or type of consumer. From there, once you know what you want to know and why you can decide whether you need to use both primary and secondary research to answer your questions.

2. Find research and existing data sources

Once you have determined your research topic , select the information sources that will provide you with the most appropriate and relevant data for your research. If you need secondary research, you want to determine where this information can likely be found, for example:

Trade associations

Government sources

Create a list of the relevant data sources , and other organizations or people that can help you find what you need.

3. Begin searching and collecting the existing data

Once you have narrowed down your sources, you will start gathering this information and putting it into an organized system. This often involves:

Checking the credibility of the source

Setting up meetings with research teams

Signing up for accounts to access certain websites or journals

One search result on the internet often leads to other pieces of helpful information, known as ‘pearl gathering’ or ‘pearl harvesting.’ This is usually a serendipitous activity, which can lead to valuable nuggets of information you may not have been aware of or considered.

4. Combine the data and compare the results

Once you have gathered all the data, start going through it by carefully examining all the information and comparing it to ensure the data is usable and that it isn’t duplicated or corrupted. Contradictory information is useful—just make sure you note the contradiction and the context. Be mindful of copyright and plagiarism when using secondary research and always cite your sources.

Once you have assessed everything, you will begin to look at what this information tells you by checking out the trends and comparing the different datasets. You will also investigate what this information means for your research, whether it helps your overall goal, and any gaps or deficiencies.

5. Analyze your data and explore further

In the final stage of conducting secondary research, you will analyze the data you have gathered and determine if it answers the questions you had before you started researching. Check that you understand the information, whether it fills in all your gaps, and whether it provides you with other insights or actions you should take next.

If you still need further data, repeat these steps to find additional information that can help you explore your topic more deeply. You may also need to supplement what you find with primary research to ensure that your data is complete, accurate, transparent, and credible.

  • The advantages of secondary research

There are numerous advantages to performing secondary research. Some key benefits are:

Quicker than primary research: Because the data is already available, you can usually find the information you need fairly quickly. Not only will secondary research help you research faster, but you will also start optimizing the data more quickly.

Plenty of available data: There are countless sources for you to choose from, making research more accessible. This data may be already compiled and arranged, such as statistical information,  so you can quickly make use of it.

Lower costs:  Since you will not have to carry out the research from scratch, secondary research tends to be much more affordable than primary research.

Opens doors to further research:  Existing research usually identifies whether more research needs to be done. This could mean follow-up surveys or telephone interviews with subject matter experts (SME) to add value to your own research.

  • The disadvantages of secondary research

While there are plenty of benefits to secondary research are plenty, there are some issues you should be aware of. These include:

Credibility issues: It is important to verify the sources used. Some information may be biased and not reflect or hide, relevant issues or challenges. It could also be inaccurate.

No recent information:  Even if data may seem accurate, it may not be up to date, so the information you gather may no longer be correct. Outdated research can distort your overall findings.

Poor quality: Because secondary research tends to make conclusions from primary research data, the success of secondary research will depend on the quality and context of the research that has already been completed. If the research you are using is of poor quality, this will bring down the quality of your own findings.

Research doesn’t exist or is not easily accessible, or is expensive: Sometimes the information you need is confidential or proprietary, such as sales or earnings figures. Many information-based businesses attach value to the information they hold or publish, so the costs to access this information can be prohibitive.

Should you complete secondary research or primary research first?

Due to the costs and time involved in primary research, it may be more beneficial to conduct secondary market research first. This will save you time and provide a picture of what issues you may come across in your research. This allows you to focus on using more expensive primary research to get the specific answers you want.

What should you ask yourself before using secondary research data?

Check the date of the research to make sure it is still relevant. Also, determine the data source so you can assess how credible and trustworthy it is likely to be. For example, data from known brands, professional organizations, and even government agencies are usually excellent sources to use in your secondary research, as it tends to be trustworthy.

Be careful when using some websites and personal blogs as they may be based on opinions rather than facts. However, these sources can be useful for determining sentiment about a product or service, and help direct any primary research.

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Research Methods

Secondary research.

  • Primary Research

What is Secondary Research?

Advantages and disadvantages of secondary research, secondary research in literature reviews, secondary research - going beyond literature reviews, main stages of secondary research, useful resources, using material on this page.

  • Quantitative Research This link opens in a new window
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Secondary research

Secondary research uses research and data that has already been carried out. It is sometimes referred to as desk research. It is a good starting point for any type of research as it enables you to analyse what research has already been undertaken and identify any gaps. 

You may only need to carry out secondary research for your assessment or you may need to use secondary research as a starting point, before undertaking your own primary research .

Searching for both primary and secondary sources can help to ensure that you are up to date with what research has already been carried out in your area of interest and to identify the key researchers in the field.

"Secondary sources are the books, articles, papers and similar materials written or produced by others that help you to form your background understanding of the subject. You would use these to find out about experts’ findings, analyses or perspectives on the issue and decide whether to draw upon these explicitly in your research." (Cottrell, 2014, p. 123).

Examples of secondary research sources include:.

  • journal articles
  • official statistics, such as government reports or organisations which have collected and published data

Primary research  involves gathering data which has not been collected before. Methods to collect it can include interviews, focus groups, controlled trials and case studies. Secondary research often comments on and analyses this primary research.

Gopalakrishnan and Ganeshkumar (2013, p. 10) explain the difference between primary and secondary research:

"Primary research is collecting data directly from patients or population, while secondary research is the analysis of data already collected through primary research. A review is an article that summarizes a number of primary studies and may draw conclusions on the topic of interest which can be traditional (unsystematic) or systematic".

Secondary Data

As secondary data has already been collected by someone else for their research purposes, it may not cover all of the areas of interest for your research topic. This research will need to be analysed alongside other research sources and data in the same subject area in order to confirm, dispute or discuss the findings in a wider context.

"Secondary source data, as the name infers, provides second-hand information. The data come ‘pre-packaged’, their form and content reflecting the fact that they have been produced by someone other than the researcher and will not have been produced specifically for the purpose of the research project. The data, none the less, will have some relevance for the research in terms of the information they contain, and the task for the researcher is to extract that information and re-use it in the context of his/her own research project." (Denscombe, 2021, p. 268)

In the video below Dr. Benedict Wheeler (Senior Research Fellow at the European Center for Environment and Human Health at the University of Exeter Medical School) discusses secondary data analysis. Secondary data was used for his research on how the environment affects health and well-being and utilising this secondary data gave access to a larger data set.

As with all research, an important part of the process is to critically evaluate any sources you use. There are tools to help with this in the  Being Critical  section of the guide.

Louise Corti, from the UK Data Archive, discusses using secondary data  in the video below. T he importance of evaluating secondary research is discussed - this is to ensure the data is appropriate for your research and to investigate how the data was collected.

There are advantages and disadvantages to secondary research:

Advantages:

  • Usually low cost
  • Easily accessible
  • Provides background information to clarify / refine research areas
  • Increases breadth of knowledge
  • Shows different examples of research methods
  • Can highlight gaps in the research and potentially outline areas of difficulty
  • Can incorporate a wide range of data
  • Allows you to identify opposing views and supporting arguments for your research topic
  • Highlights the key researchers and work which is being undertaken within the subject area
  • Helps to put your research topic into perspective

Disadvantages

  • Can be out of date
  • Might be unreliable if it is not clear where or how the research has been collected - remember to think critically
  • May not be applicable to your specific research question as the aims will have had a different focus

Literature reviews 

Secondary research for your major project may take the form of a literature review . this is where you will outline the main research which has already been written on your topic. this might include theories and concepts connected with your topic and it should also look to see if there are any gaps in the research., as the criteria and guidance will differ for each school, it is important that you check the guidance which you have been given for your assessment. this may be in blackboard and you can also check with your supervisor..

The videos below include some insights from academics regarding the importance of literature reviews.

Secondary research which goes beyond literature reviews

For some dissertations/major projects there might only be a literature review (discussed above ). For others there could be a literature review followed by primary research and for others the literature review might be followed by further secondary research. 

You may be asked to write a literature review which will form a background chapter to give context to your project and provide the necessary history for the research topic. However, you may then also be expected to produce the rest of your project using additional secondary research methods, which will need to produce results and findings which are distinct from the background chapter t o avoid repetition .

Remember, as the criteria and guidance will differ for each School, it is important that you check the guidance which you have been given for your assessment. This may be in Blackboard and you can also check with your supervisor.

Although this type of secondary research will go beyond a literature review, it will still rely on research which has already been undertaken. And,  "just as in primary research, secondary research designs can be either quantitative, qualitative, or a mixture of both strategies of inquiry" (Manu and Akotia, 2021, p. 4) .

Your secondary research may use the literature review to focus on a specific theme, which is then discussed further in the main project. Or it may use an alternative approach. Some examples are included below.  Remember to speak with your supervisor if you are struggling to define these areas.

Some approaches of how to conduct secondary research include:

  • A systematic review is a structured literature review that involves identifying all of the relevant primary research using a rigorous search strategy to answer a focused research question.
  • This involves comprehensive searching which is used to identify themes or concepts across a number of relevant studies. 
  • The review will assess the q uality of the research and provide a summary and synthesis of all relevant available research on the topic.
  • The systematic review  LibGuide goes into more detail about this process (The guide is aimed a PhD/Researcher students. However, students on other levels of study may find parts of the guide helpful too).
  • Scoping reviews aim to identify and assess available research on a specific topic (which can include ongoing research). 
  • They are "particularly useful when a body of literature has not yet been comprehensively reviewed, or exhibits a complex or heterogeneous nature not amenable to a more precise systematic review of the evidence. While scoping reviews may be conducted to determine the value and probable scope of a full systematic review, they may also be undertaken as exercises in and of themselves to summarize and disseminate research findings, to identify research gaps, and to make recommendations for the future research."  (Peters et al., 2015) .
  • This is designed to  summarise the current knowledge and provide priorities for future research.
  • "A state-of-the-art review will often highlight new ideas or gaps in research with no official quality assessment." (Baguss, 2020) .
  • "Bibliometric analysis is a popular and rigorous method for exploring and analyzing large volumes of scientific data." (Donthu et al., 2021)
  • Quantitative methods and statistics are used to analyse the bibliographic data of published literature. This can be used to measure the impact of authors, publications, or topics within a subject area.

The bibliometric analysis often uses the data from a citation source such as Scopus or Web of Science .

  • This is a technique used to combine the statistic results of prior quantitative studies in order to increase precision and validity.
  • "It goes beyond the parameters of a literature review, which assesses existing literature, to actually perform calculations based on the results collated, thereby coming up with new results" (Curtis and Curtis, 2011, p. 220)

(Adapted from: Grant and Booth, 2009, cited in Sarhan and Manu, 2021, p. 72 )

  • Grounded Theory is used to create explanatory theory from data which has been collected.
  • "Grounded theory data analysis strategies can be used with different types of data, including secondary data." ( Whiteside, Mills and McCalman, 2012 )
  • This allows you to use a specific theory or theories which can then be applied to your chosen topic/research area.
  • You could focus on one case study which is analysed in depth, or you could examine more than one in order to compare and contrast the important aspects of your research question.
  • "Good case studies often begin with a predicament that is poorly comprehended and is inadequately explained or traditionally rationalised by numerous conflicting accounts. Therefore, the aim is to comprehend an existent problem and to use the acquired understandings to develop new theoretical outlooks or explanations."  ( Papachroni and Lochrie, 2015, p. 81 )

Main stages of secondary research for a dissertation/major project

In general, the main stages for conducting secondary research for your dissertation or major project will include:

Click on the image below to access the reading list which includes resources used in this guide as well as some additional useful resources.

Link to online reading list of additional resources and further reading

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License .

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  • Last Updated: Aug 11, 2022 3:41 PM
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Secondary Research: Methods, Examples, and Strategic Insights

Kate williams.

16 October 2023

Table Of Contents

Secondary Research

  • An Overview
  • Primary vs Secondary

Sources and References

  • Conducting Research
  • Pros and Cons

Secondary research involves the analysis and interpretation of existing data and information collected by others. It provides valuable insights for informed decision-making without conducting new surveys or experiments. But, why is it important for businesses? Successful enterprises attribute their strategic decisions to comprehensive secondary research. In this blog, we will look into its importance, pros and cons, and all that you need to know.

What is Secondary Research?

Secondary research is not just about compiling data. It’s about synthesizing information to draw meaningful conclusions. Analysts sift through vast datasets, identifying patterns, trends, and correlations. This methodical approach transforms raw data into actionable insights, guiding businesses in their strategic endeavors.

Simply put, it involves the analysis and interpretation of existing data and information collected by others. This data can come from a variety of sources, such as academic papers, industry reports, market studies, government publications, and online databases. By tapping into pre-existing data, businesses can gain valuable insights without the time and resource-intensive process of conducting primary research, making it a cost-effective and efficient approach.

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Primary vs Secondary Research

Now, before we delve into the details, we need to be very clear about what primary research is. Why? Because the former builds upon the latter. Secondary research can only be done upon the existence of data. And, what better way than a comparison of the two to get a better grasp?

Primary Research:

Direct Data Collection: It involves gathering data directly from the source. Researchers use methods like surveys, interviews, experiments, or observations to collect specific information tailored to their study.

Specific to Study: The data collected in primary research is exclusive to the research question at hand. It is designed to address specific inquiries and provide detailed, targeted insights into the topic of interest.

Time-Consuming: Moreover, it can be time-intensive as it requires planning, conducting surveys or interviews, and analyzing the collected data. Researchers invest significant time to ensure the accuracy and reliability of the information gathered.

Tailored Questions: Researchers formulate precise and tailored questions to extract relevant information from participants. These questions are carefully designed to elicit specific responses, contributing to the depth of the research findings.

Costly: Implementing primary research methods often involves expenses related to participant recruitment, survey administration, and data analysis. The costs can vary based on the complexity and scope of the research.

Fresh Information: It provides fresh, firsthand information directly from the participants. It offers unique perspectives and insights, making it valuable for studies requiring original data.

Read More: How To Do Primary Research: An Ultimate Guide

Existing Data Analysis: It involves the analysis and interpretation of pre-existing data. Researchers explore reports, articles, studies, and other pre-existing information to draw conclusions or generate insights.

Broad Overview: It provides a comprehensive overview of a subject matter. It encompasses a wide range of data, allowing researchers to explore multiple facets of a topic without the need for new data collection.

Time-Efficient: Researchers utilize information readily available from various sources. This approach saves time compared to the process of collecting new data through primary research methods.

General Insights: The insights gained are general. They offer a broad understanding of a topic without the specificity that primary research can provide. Basically, it forms a foundation for initial exploration.

Cost-Effective: Compared to primary research, it is cost-effective as it utilizes existing data sources. Researchers do not incur the costs associated with participant recruitment and data collection, making it a budget-friendly option.

Historical Data: Secondary research often involves historical data, which can provide trends and patterns over time. Researchers can analyze past information to identify changes, making it valuable for longitudinal studies.

When conducting secondary research for a company, the focus narrows down to specific sources that offer relevant insights into market trends, consumer behaviors, industry competition, and other business-related aspects.

Here’s a tailored list of key sources and references:

1. Industry Reports and Market Research Firms

Market research is key! Industry-specific reports from reputable market research firms offer detailed analyses, market forecasts, and competitor landscapes, aiding businesses in understanding market trends and customer demands.

2. Competitor Websites and Annual Reports

Your competitor’s website and annual reports are like their personal diary. Analyzing them provides valuable information on their products, strategies, financial performance, and market positioning, helping businesses identify competitive advantages and market gaps.

3. Trade Publications and Business Magazines

They provide industry-specific news, expert opinions, and case studies. This in turn provides insights into merging trends, best practices, and successful business strategies.

4. Government Economic Data and Regulatory Publications

Governments share economic data and regulations. For instance, you get data on GDP growth, employment rates, and industry regulations. You’ll know what’s changing and how it might affect your business.

5. Academic Journals and Research Papers

These are like textbooks. They provide in-depth information about theories and analyses. With it, you can understand the “whys” behind market behaviors.

How to Conduct Secondary Research

1. define your research questions.

Clearly outline what you want to know. Define specific research questions to guide your search and keep your focus sharp. Also, remember to make the questions to the point to provide a clear direction for your study.

2. Identify Your Sources

Don’t just stick to one source. Explore all the options available to get a broad view of the subject. Later, narrow down your findings to get to the precise point you have been deducing.

3. Use Online Databases Wisely

Develop a robust set of keywords related to your topic. Utilize Boolean operators ( AND, OR, NOT ) to refine your search. Experiment with various combinations to obtain the most relevant results.

4. Evaluate Your Sources

Assess the credibility of each source. Check the author’s credentials, publication date, and publisher. Peer-reviewed journals and academic institutions are usually trustworthy.

5. Take Thorough Notes

Record key points, statistics, and quotes. Note the publication details for proper citation. Organize your notes by topic for easy reference.

6. Synthesize Information

Analyze the gathered data. Identify patterns, trends, and discrepancies. Compare and contrast information from different sources to gain comprehensive insights. By doing this, you can see how different sources complement or contradict each other.

7. Validate the Information

Once you have all the information needed, properly source and add references. Any unauthorized data can cause huge differences in the decisions you make based on the insights. In the case of academic research, create a comprehensive bibliography listing all your sources.

8. Stay Curious and Keep Exploring

Research does not end with a single project. Stay curious about new developments, theories, and research findings. Continue learning to broaden your knowledge base and refine your research skills.

Types of Secondary Research

1. literature reviews.

Literature reviews involve analyzing existing academic publications, research papers, books, and articles related to the topic of study. Through literature reviews, scholars gain insights into the evolution of ideas, theories, and methodologies, providing a solid foundation for their research endeavors.

2. Content Analysis

Content analysis is a methodical examination of various media forms, such as articles, advertisements, social media posts, or documents, to extract meaningful insights. Researchers scrutinize the content to identify patterns, themes, attitudes, or trends within the material. This method is widely used in media studies, communication, and social sciences.

 3. Historical Analysis

This method allows researchers to explore the social, cultural, and political factors that have shaped societies, providing valuable context for contemporary studies. It is the meticulous study of historical documents, records, artifacts, or events to gain insights into past behaviors or trends.

4. Case Studies

Case studies delve into specific instances, organizations, or events, offering an in-depth exploration of real-life situations. Researchers analyze existing reports, documents, or publications related to the chosen case to extract valuable insights. It is widely used in business, social sciences, and medical research.

5. Surveys and Polls

Surveys and polls involve the analysis of data that is collected from diverse populations. Researchers explore data sets generated by organizations or research institutions through survey administration. They provide the quantitative data you need to make informed decisions. Moreover, they make it easy to gain insights into public opinions, attitudes, behaviors, or trends across various demographics.

Read More: How to Conduct a Survey

Pros and Cons of Secondary Research

Cost-Effectiveness: Utilizes existing data, saving on research costs. Time Efficiency: Quick access to a wide range of data. Broad Scope: Covers diverse topics and historical data. In-Depth Analysis: Enables detailed examination and exploration.

Disadvantages

Data Quality Concerns: Varied quality and potential biases in existing data. Limited Control: No control over data collection, limiting specific variables. Data Relevance: Data might not precisely align with research questions. Outdated Information: Data can become obsolete in rapidly changing fields.

Alright, before we end this, let’s talk timing! Secondary research guides you through different points of your research process. Imagine you are at the beginning, trying to go deeper into the topic. This is where it comes of use. It gives you foundational knowledge and helps you refine your questions. Then, later, when you’re digging into scholarly articles, research shows you where others have tread and where unexplored territories lie.

So, before you conduct primary research make sure you make a quick secondary research pitstop. It will not only save you time and effort but also help you understand the trends that matter, whether you’re at the beginning, middle, or even near the end of your research.

And, while you’re at it, make sure you stop by SurveySparrow and give it a try! This pitstop might be your ultimate solution.

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  • What is secondary research: Definition, methods and examples

What is secondary research: Definition, methods and examples

Defne Çobanoğlu

When there is a need to gather data on a specific subject, there is more than one method to go with. Let us say you want to do general market research or you want to know how certain individuals react to a type of advertisement. You can do your secondary market research by conducting simple secondary research following pre-determined steps.

That means, instead of doing a study and extensive research to obtain information, you go through existing published documents and databases. That will help you save precious time, money, and workforce as you analyze different sources that can hand you the information. Let us find out more about secondary research and what is different from primary research.

  • Let’s start with the basics: What is secondary research?

Secondary research is a type of research where you gather the data collected by other researchers and educational institutions . Some examples of secondary research sources are books, academic journals, reports, online databases, and news articles. 

When conducting secondary research, it is crucial to critically evaluate the quality and relevance of the sources used and to consider any potential biases or irrelevancies of the data. It may be faster and easier to obtain, but you also need to make sure the results are up-to-date and accurate.

secondary research examples

  • Primary vs. secondary research

Primary research and secondary research are two different types of research. The main difference is in the source you gather the information from . Basically, when you conduct primary research, you get the data from the primary sources directly. You conduct surveys, do interviews, and manage focus groups or observations to get the information you want.

On the other hand, secondary research gets information from different data sources. These sources can be published books, articles, reports, databases, or any other sources of pre-existing data. 

secondary research examples

Primary research is more reliable, but it is more costly and time-consuming. And Secondary research may not provide as much accuracy, but it is cheaper, quicker, and requires fewer sources. So, the method you want to go with depends on your external sources and budget.

Secondary research methods (& examples)

Secondary research is a great way of gathering information when working on a budget. It allows you to analyze existing data. There are multiple methods you can use for your secondary research. Once you know what you want to determine from your research, you can go through possible methods to find the most suitable one. Now, let us see different secondary research methods and some examples to understand them better!

1 - Collecting data from the internet

Using the endless world of the internet is one of the most used methods. It allows expanding in different parts of the world from the comfort of your chair. There are many sources you can find that are free of charge or quite reasonable. However, you should always check the authenticity of the information to ensure they are accurate.

When you want to see the effect of different colors, placements, and keywords on your next big advertisement, you can go to Google Scholar and ResearchGate. They are two of the great sources that provide previous research and look up case studies. After looking up appropriate research done on the subject, you can conclude a final result.

2 - Reviewing of government publication

This method involves accessing and reviewing government publications, such as reports or statistics, that are publicly available. You may need to pay a sum to access these publications, or they may be classified information with no access to them. They allow you to get data on a big area of subjects.

Let us say you want to expand to a new region as a possible market, and you want to know details about the people living in the area. You can look up census details of the country or town. The sites you can search are U.S. Census Bureau or UK Office for National Statistics .

3 - Doing library research

This involves researching literature, reports, and other sources in a public or private library. Academic papers, business directories, newsletters , annual reports, and other similar documents are gathered and stored in libraries in both soft and hard copies. 

When you want to see the historical views of people on a particular topic, you can conduct a literature review on the subject. For instance, if you choose a topic on sociology, you can gather all published documents on the subject of your choosing and get a result from them.

  • Key steps to conduct secondary research

Secondary research involves a systematic and thorough approach to gathering and analyzing data from existing sources. One should follow these effective steps to ensure that resources are being used most efficiently. After reviewing the sources and finding the material you are after, the results can be used in decision-making and support research objectives.

1 - Define your research question or problem

When you want to start your secondary research, the first step is clearly defining your research question or problem. That way, you can identify the key information you need to gather and the relevant sources to use.

2 - Identify relevant sources

Once you have determined your research question, you need to specify the relevant sources of data and information. This may include academic journals, books, government reports, industry publications, online databases, and news articles.

3 - Evaluate the quality of the sources

It is essential to check the quality of the sources you want to use to make sure that they are up-to-date, accurate, and relevant to your research. Look for reliable sources and consider factors such as the publication date, the author's credentials, and any potential biases.

4 - Collect and analyze the data

Once you have decided on the relevant sources to work with, you can start collecting the data. This may involve taking notes, summarizing key findings, and gathering the information to draw conclusions.

5 - Interpret the data

After collecting and analyzing the data, you need to interpret the findings and draw conclusions. Consider how the information relates to your research question, and identify any patterns, trends, or gaps in the data. You may create charts, graphs, or other visual aids to help you present the data in a clear way.

  • Advantages and disadvantages of secondary research

Now, we know the methods of secondary research and what exactly differentiates it from primary research. But what are the advantages and disadvantages of it? Firstly, secondary research is easily accessible as the data is already available and often involves a large sample size, which can increase the reliability and validity of the findings. Additionally, it is cost-effective and time-saving . 

When it comes to the disadvantages of secondary research, the first thing that comes to mind is the fact that the data may not always be reliable , and credibility evaluation must be performed. In addition to this, even if the data is reliable, it may not be up to date . Outdated information may do more harm than good. Lastly, the original research could be biased , which would affect the result.

In conclusion, secondary research can be a useful tool for gathering information and insights for various research projects. It is an effective method of research that has its advantages. However, researchers should carefully evaluate the quality and relevance of the data and information gathered.

There are useful online applications that can help with projects and a great one of them is forms.app! forms.app is an all-in-one type online tool that can help with research purposes and much more. Be sure to check it out today!

Defne is a content writer at forms.app. She is also a translator specializing in literary translation. Defne loves reading, writing, and translating professionally and as a hobby. Her expertise lies in survey research, research methodologies, content writing, and translation.

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  • What is Secondary Research? | Definition, Types, & Examples

What is Secondary Research? | Definition, Types, & Examples

Published on 20 January 2023 by Tegan George .

Secondary research is a research method that uses data that was collected by someone else. In other words, whenever you conduct research using data that already exists, you are conducting secondary research. On the other hand, any type of research that you undertake yourself is called primary research .

Secondary research can be qualitative or quantitative in nature. It often uses data gathered from published peer-reviewed papers, meta-analyses, or government or private sector databases and datasets.

Table of contents

When to use secondary research, types of secondary research, examples of secondary research, advantages and disadvantages of secondary research, frequently asked questions.

Secondary research is a very common research method, used in lieu of collecting your own primary data. It is often used in research designs or as a way to start your research process if you plan to conduct primary research later on.

Since it is often inexpensive or free to access, secondary research is a low-stakes way to determine if further primary research is needed, as gaps in secondary research are a strong indication that primary research is necessary. For this reason, while secondary research can theoretically be exploratory or explanatory in nature, it is usually explanatory: aiming to explain the causes and consequences of a well-defined problem.

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Secondary research can take many forms, but the most common types are:

Statistical analysis

Literature reviews, case studies, content analysis.

There is ample data available online from a variety of sources, often in the form of datasets. These datasets are often open-source or downloadable at a low cost, and are ideal for conducting statistical analyses such as hypothesis testing or regression analysis .

Credible sources for existing data include:

  • The government
  • Government agencies
  • Non-governmental organizations
  • Educational institutions
  • Businesses or consultancies
  • Libraries or archives
  • Newspapers, academic journals, or magazines

A literature review is a survey of preexisting scholarly sources on your topic. It provides an overview of current knowledge, allowing you to identify relevant themes, debates, and gaps in the research you analyse. You can later apply these to your own work, or use them as a jumping-off point to conduct primary research of your own.

Structured much like a regular academic paper (with a clear introduction, body, and conclusion), a literature review is a great way to evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

A case study is a detailed study of a specific subject. It is usually qualitative in nature and can focus on  a person, group, place, event, organisation, or phenomenon. A case study is a great way to utilise existing research to gain concrete, contextual, and in-depth knowledge about your real-world subject.

You can choose to focus on just one complex case, exploring a single subject in great detail, or examine multiple cases if you’d prefer to compare different aspects of your topic. Preexisting interviews , observational studies , or other sources of primary data make for great case studies.

Content analysis is a research method that studies patterns in recorded communication by utilizing existing texts. It can be either quantitative or qualitative in nature, depending on whether you choose to analyse countable or measurable patterns, or more interpretive ones. Content analysis is popular in communication studies, but it is also widely used in historical analysis, anthropology, and psychology to make more semantic qualitative inferences.

Secondary research is a broad research approach that can be pursued any way you’d like. Here are a few examples of different ways you can use secondary research to explore your research topic .

Secondary research is a very common research approach, but has distinct advantages and disadvantages.

Advantages of secondary research

Advantages include:

  • Secondary data is very easy to source and readily available .
  • It is also often free or accessible through your educational institution’s library or network, making it much cheaper to conduct than primary research .
  • As you are relying on research that already exists, conducting secondary research is much less time consuming than primary research. Since your timeline is so much shorter, your research can be ready to publish sooner.
  • Using data from others allows you to show reproducibility and replicability , bolstering prior research and situating your own work within your field.

Disadvantages of secondary research

Disadvantages include:

  • Ease of access does not signify credibility . It’s important to be aware that secondary research is not always reliable , and can often be out of date. It’s critical to analyse any data you’re thinking of using prior to getting started, using a method like the CRAAP test .
  • Secondary research often relies on primary research already conducted. If this original research is biased in any way, those research biases could creep into the secondary results.

Many researchers using the same secondary research to form similar conclusions can also take away from the uniqueness and reliability of your research. Many datasets become ‘kitchen-sink’ models, where too many variables are added in an attempt to draw increasingly niche conclusions from overused data . Data cleansing may be necessary to test the quality of the research.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The research methods you use depend on the type of data you need to answer your research question .

  • If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
  • If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
  • If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Sources for this article

We strongly encourage students to use sources in their work. You can cite our article (APA Style) or take a deep dive into the articles below.

George, T. (2023, January 20). What is Secondary Research? | Definition, Types, & Examples. Scribbr. Retrieved 22 April 2024, from https://www.scribbr.co.uk/research-methods/secondary-research-explained/
Largan, C., & Morris, T. M. (2019). Qualitative Secondary Research: A Step-By-Step Guide (1st ed.). SAGE Publications Ltd.
Peloquin, D., DiMaio, M., Bierer, B., & Barnes, M. (2020). Disruptive and avoidable: GDPR challenges to secondary research uses of data. European Journal of Human Genetics , 28 (6), 697–705. https://doi.org/10.1038/s41431-020-0596-x

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What are the Advantages & Disadvantages of Secondary Research?

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Any project must go through the research process in order to gather specific information. Primary research is firsthand information, but on the other hand, secondary research acts as a guiding light, illuminating uncharted territories of knowledge. Like a beacon in the storm, it enables researchers to navigate the vast seas of information, tapping into existing resources to fuel their intellectual pursuits.

You can also view our following links:

Primary Research Methods: A Beginner's Guide

A Complete Guide: How to Write a Research Design

In this article, we will explore various types and examples of secondary research to inspire and guide aspiring researchers in formulating their own research queries.

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What is secondary research.

To define secondary research is the method of gathering and analysing existing data, information, and resources that others have already collected. It involves reviewing and synthesising the work of other researchers, scholars, experts, and organisations to gain insights, draw conclusions, or support a particular research objective.

How to Conduct Secondary Research

Secondary research is a valuable tool for gathering information from existing sources. To conduct effective secondary research, follow these steps for research. By following these steps, the researcher navigates the process of conducting secondary research efficiently and effectively, contributing to the existing body of knowledge and advancing your understanding of the research topic.

  • Define Research Objectives

 Clearly identify your research topic, questions, and objectives to ensure focused and relevant exploration.

  • Identify Relevant Sources

 Determine the most appropriate sources for your research, such as academic journals, books, databases, government reports, or reputable websites.

  • Conduct Literature Review

Review existing literature to comprehensively understand the topic, identify key theories, concepts, and gaps in knowledge.

  • Collect Data

 Extract relevant data from sources using methods like note-taking, summarizing, or using citation management tools for organized data collection.

  • Analyze and Interpret Data

Analyze the collected data using qualitative or quantitative techniques to draw meaningful insights and identify patterns or trends.

  • Compare and Synthesize Findings

Compare and synthesize the findings from different sources to identify commonalities, discrepancies, or emerging themes.

  • Evaluate Source Credibility

Assess the credibility and reliability of the sources by considering factors like author expertise, publication reputation, and data quality.

  • Document and Cite Sources

Properly document all sources used in your research and ensure accurate citation to maintain academic integrity and avoid plagiarism.

  • Draw Conclusions and Recommendations

 Based on the analysis of secondary data, draw informed conclusions and provide recommendations for further research or practical applications.

  • Communicate Findings

 Present your findings in a clear and organized manner through research reports, presentations, or academic papers.

Types of Secondary Research 

Secondary research, also known as desk research, refers to the process of gathering and analyzing existing data and information collected by others. It involves utilizing pre-existing sources to explore a specific topic or research question. Here are some common types with secondary research examples:

  • Literature Reviews

For secondary research collecting data via literature review that are existing scholarly articles, books, and publications related to the research topic. A literature review is a great way to evaluate the state of the research and demonstrates familiarity with the scholarly debates around the subject.

For example;

If your research interest lies in understanding the reactions of campus police to student protest movements on campus, conducting a comprehensive literature review can provide valuable insights. By examining scholarly works spanning the past century that discuss student protest movements, you can gain a broader understanding of the topic and identify recurring themes or patterns.

  • Case Studies

Examining previously conducted case studies to gain insights into specific situations, variables, and outcomes. When researching a difficult case study , you can decide whether to analyse only one instance in great detail if you'd want to compare various facets of your issue. 

For Example;

Suppose you wish to explore the acclimatization process of formerly incarcerated individuals. Analyze their experiences and narratives to develop a detailed case study of their reintegration into society.

  • Content Analysis

Analysing and interpreting existing content, such as media articles, social media posts, and online discussions, to gain insights into public opinion, trends, and sentiment. Depending on whether you want to analyse countable or quantifiable patterns or more interpretive ones, it is either quantitative or qualitative in nature.

 If your focus is on the frequency of employment issues in political campaigns during the Great Depression, you can employ content analysis techniques. 

  • Comparative Studies

Comparing and contrasting existing research studies and findings to identify commonalities, differences, and gaps in knowledge.

Comparing the impact of traditional lecture-based teaching and student-centered interactive learning on student learning outcomes.

The secondary research definition provides a valuable foundation for academic inquiry, offering a wealth of existing knowledge to build upon and contribute to the scholarly discourse. By leveraging these various types of secondary research, students can gain a comprehensive understanding of their chosen subjects and enhance their own research endeavours.

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Importance of Conducting Secondary Research

While it may not always be necessary to conduct secondary research for the research project. It is highly beneficial and often recommended in academic and research contexts. Here are a few reasons why secondary research is valuable:

  • Enhancing Knowledge

 Secondary research allows you to tap into existing knowledge and gain a deeper understanding of a subject. By reviewing relevant literature, data, and information collected by others, you build upon existing theories, concepts, and findings.

  • Time and Cost Efficiency

 Conducting primary research, which involves data collection from scratch, be time-consuming and resource-intensive. Secondary research offers a more efficient alternative by utilising pre-existing data and information, saving you time and reducing costs.

  • Access to a Wide Range of Sources

Secondary research enables you to explore a vast array of sources, including academic journals, books, reports, and databases. This wide range of materials allows for a comprehensive and diverse exploration of your research topic.

  • Validation and Verification

Secondary research allows you to validate and verify your own findings and arguments. By referencing established studies and scholarly work, you strengthen the credibility and reliability of your research.

  • Identifying Research Gaps

Secondary research helps you identify gaps in existing knowledge or areas where further investigation is needed. By examining previous studies, you uncover unanswered questions or areas that require additional research, which contribute to the advancement of your field.

  • Ethical Considerations

Conducting secondary research promotes ethical research practices, as it involves using already available data and respecting intellectual property rights. By properly citing and attributing sources, you demonstrate academic integrity and avoid plagiarism.

A primary research question may provide unique insights and data, but secondary research provides a broader context and a foundation to build on in support of primary research. By incorporating both primary and secondary research, you create a more comprehensive and well-rounded study.

Final Extraction

To cut it short, secondary research is a significant part of research writing. It refers to the secondary sources of data collection for research work. It includes literature reviews, case studies, comparative analysis of the available sources of information as compared to first hand or primary research. Time effectiveness and cost efficiency are some of its many benefits. This piece of writing has provided an essential information on how to conduct secondary research. 

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Home » Secondary Data – Types, Methods and Examples

Secondary Data – Types, Methods and Examples

Table of Contents

Secondary Data

Secondary Data

Definition:

Secondary data refers to information that has been collected, processed, and published by someone else, rather than the researcher gathering the data firsthand. This can include data from sources such as government publications, academic journals, market research reports, and other existing datasets.

Secondary Data Types

Types of secondary data are as follows:

  • Published data: Published data refers to data that has been published in books, magazines, newspapers, and other print media. Examples include statistical reports, market research reports, and scholarly articles.
  • Government data: Government data refers to data collected by government agencies and departments. This can include data on demographics, economic trends, crime rates, and health statistics.
  • Commercial data: Commercial data is data collected by businesses for their own purposes. This can include sales data, customer feedback, and market research data.
  • Academic data: Academic data refers to data collected by researchers for academic purposes. This can include data from experiments, surveys, and observational studies.
  • Online data: Online data refers to data that is available on the internet. This can include social media posts, website analytics, and online customer reviews.
  • Organizational data: Organizational data is data collected by businesses or organizations for their own purposes. This can include data on employee performance, financial records, and customer satisfaction.
  • Historical data : Historical data refers to data that was collected in the past and is still available for research purposes. This can include census data, historical documents, and archival records.
  • International data: International data refers to data collected from other countries for research purposes. This can include data on international trade, health statistics, and demographic trends.
  • Public data : Public data refers to data that is available to the general public. This can include data from government agencies, non-profit organizations, and other sources.
  • Private data: Private data refers to data that is not available to the general public. This can include confidential business data, personal medical records, and financial data.
  • Big data: Big data refers to large, complex datasets that are difficult to manage and analyze using traditional data processing methods. This can include social media data, sensor data, and other types of data generated by digital devices.

Secondary Data Collection Methods

Secondary Data Collection Methods are as follows:

  • Published sources: Researchers can gather secondary data from published sources such as books, journals, reports, and newspapers. These sources often provide comprehensive information on a variety of topics.
  • Online sources: With the growth of the internet, researchers can now access a vast amount of secondary data online. This includes websites, databases, and online archives.
  • Government sources : Government agencies often collect and publish a wide range of secondary data on topics such as demographics, crime rates, and health statistics. Researchers can obtain this data through government websites, publications, or data portals.
  • Commercial sources: Businesses often collect and analyze data for marketing research or customer profiling. Researchers can obtain this data through commercial data providers or by purchasing market research reports.
  • Academic sources: Researchers can also obtain secondary data from academic sources such as published research studies, academic journals, and dissertations.
  • Personal contacts: Researchers can also obtain secondary data from personal contacts, such as experts in a particular field or individuals with specialized knowledge.

Secondary Data Formats

Secondary data can come in various formats depending on the source from which it is obtained. Here are some common formats of secondary data:

  • Numeric Data: Numeric data is often in the form of statistics and numerical figures that have been compiled and reported by organizations such as government agencies, research institutions, and commercial enterprises. This can include data such as population figures, GDP, sales figures, and market share.
  • Textual Data: Textual data is often in the form of written documents, such as reports, articles, and books. This can include qualitative data such as descriptions, opinions, and narratives.
  • Audiovisual Data : Audiovisual data is often in the form of recordings, videos, and photographs. This can include data such as interviews, focus group discussions, and other types of qualitative data.
  • Geospatial Data: Geospatial data is often in the form of maps, satellite images, and geographic information systems (GIS) data. This can include data such as demographic information, land use patterns, and transportation networks.
  • Transactional Data : Transactional data is often in the form of digital records of financial and business transactions. This can include data such as purchase histories, customer behavior, and financial transactions.
  • Social Media Data: Social media data is often in the form of user-generated content from social media platforms such as Facebook, Twitter, and Instagram. This can include data such as user demographics, content trends, and sentiment analysis.

Secondary Data Analysis Methods

Secondary data analysis involves the use of pre-existing data for research purposes. Here are some common methods of secondary data analysis:

  • Descriptive Analysis: This method involves describing the characteristics of a dataset, such as the mean, standard deviation, and range of the data. Descriptive analysis can be used to summarize data and provide an overview of trends.
  • Inferential Analysis: This method involves making inferences and drawing conclusions about a population based on a sample of data. Inferential analysis can be used to test hypotheses and determine the statistical significance of relationships between variables.
  • Content Analysis: This method involves analyzing textual or visual data to identify patterns and themes. Content analysis can be used to study the content of documents, media coverage, and social media posts.
  • Time-Series Analysis : This method involves analyzing data over time to identify trends and patterns. Time-series analysis can be used to study economic trends, climate change, and other phenomena that change over time.
  • Spatial Analysis : This method involves analyzing data in relation to geographic location. Spatial analysis can be used to study patterns of disease spread, land use patterns, and the effects of environmental factors on health outcomes.
  • Meta-Analysis: This method involves combining data from multiple studies to draw conclusions about a particular phenomenon. Meta-analysis can be used to synthesize the results of previous research and provide a more comprehensive understanding of a particular topic.

Secondary Data Gathering Guide

Here are some steps to follow when gathering secondary data:

  • Define your research question: Start by defining your research question and identifying the specific information you need to answer it. This will help you identify the type of secondary data you need and where to find it.
  • Identify relevant sources: Identify potential sources of secondary data, including published sources, online databases, government sources, and commercial data providers. Consider the reliability and validity of each source.
  • Evaluate the quality of the data: Evaluate the quality and reliability of the data you plan to use. Consider the data collection methods, sample size, and potential biases. Make sure the data is relevant to your research question and is suitable for the type of analysis you plan to conduct.
  • Collect the data: Collect the relevant data from the identified sources. Use a consistent method to record and organize the data to make analysis easier.
  • Validate the data: Validate the data to ensure that it is accurate and reliable. Check for inconsistencies, missing data, and errors. Address any issues before analyzing the data.
  • Analyze the data: Analyze the data using appropriate statistical and analytical methods. Use descriptive and inferential statistics to summarize and draw conclusions from the data.
  • Interpret the results: Interpret the results of your analysis and draw conclusions based on the data. Make sure your conclusions are supported by the data and are relevant to your research question.
  • Communicate the findings : Communicate your findings clearly and concisely. Use appropriate visual aids such as graphs and charts to help explain your results.

Examples of Secondary Data

Here are some examples of secondary data from different fields:

  • Healthcare : Hospital records, medical journals, clinical trial data, and disease registries are examples of secondary data sources in healthcare. These sources can provide researchers with information on patient demographics, disease prevalence, and treatment outcomes.
  • Marketing : Market research reports, customer surveys, and sales data are examples of secondary data sources in marketing. These sources can provide marketers with information on consumer preferences, market trends, and competitor activity.
  • Education : Student test scores, graduation rates, and enrollment statistics are examples of secondary data sources in education. These sources can provide researchers with information on student achievement, teacher effectiveness, and educational disparities.
  • Finance : Stock market data, financial statements, and credit reports are examples of secondary data sources in finance. These sources can provide investors with information on market trends, company performance, and creditworthiness.
  • Social Science : Government statistics, census data, and survey data are examples of secondary data sources in social science. These sources can provide researchers with information on population demographics, social trends, and political attitudes.
  • Environmental Science : Climate data, remote sensing data, and ecological monitoring data are examples of secondary data sources in environmental science. These sources can provide researchers with information on weather patterns, land use, and biodiversity.

Purpose of Secondary Data

The purpose of secondary data is to provide researchers with information that has already been collected by others for other purposes. Secondary data can be used to support research questions, test hypotheses, and answer research objectives. Some of the key purposes of secondary data are:

  • To gain a better understanding of the research topic : Secondary data can be used to provide context and background information on a research topic. This can help researchers understand the historical and social context of their research and gain insights into relevant variables and relationships.
  • To save time and resources: Collecting new primary data can be time-consuming and expensive. Using existing secondary data sources can save researchers time and resources by providing access to pre-existing data that has already been collected and organized.
  • To provide comparative data : Secondary data can be used to compare and contrast findings across different studies or datasets. This can help researchers identify trends, patterns, and relationships that may not have been apparent from individual studies.
  • To support triangulation: Triangulation is the process of using multiple sources of data to confirm or refute research findings. Secondary data can be used to support triangulation by providing additional sources of data to support or refute primary research findings.
  • To supplement primary data : Secondary data can be used to supplement primary data by providing additional information or insights that were not captured by the primary research. This can help researchers gain a more complete understanding of the research topic and draw more robust conclusions.

When to use Secondary Data

Secondary data can be useful in a variety of research contexts, and there are several situations in which it may be appropriate to use secondary data. Some common situations in which secondary data may be used include:

  • When primary data collection is not feasible : Collecting primary data can be time-consuming and expensive, and in some cases, it may not be feasible to collect primary data. In these situations, secondary data can provide valuable insights and information.
  • When exploring a new research area : Secondary data can be a useful starting point for researchers who are exploring a new research area. Secondary data can provide context and background information on a research topic, and can help researchers identify key variables and relationships to explore further.
  • When comparing and contrasting research findings: Secondary data can be used to compare and contrast findings across different studies or datasets. This can help researchers identify trends, patterns, and relationships that may not have been apparent from individual studies.
  • When triangulating research findings: Triangulation is the process of using multiple sources of data to confirm or refute research findings. Secondary data can be used to support triangulation by providing additional sources of data to support or refute primary research findings.
  • When validating research findings : Secondary data can be used to validate primary research findings by providing additional sources of data that support or refute the primary findings.

Characteristics of Secondary Data

Secondary data have several characteristics that distinguish them from primary data. Here are some of the key characteristics of secondary data:

  • Non-reactive: Secondary data are non-reactive, meaning that they are not collected for the specific purpose of the research study. This means that the researcher has no control over the data collection process, and cannot influence how the data were collected.
  • Time-saving: Secondary data are pre-existing, meaning that they have already been collected and organized by someone else. This can save the researcher time and resources, as they do not need to collect the data themselves.
  • Wide-ranging : Secondary data sources can provide a wide range of information on a variety of topics. This can be useful for researchers who are exploring a new research area or seeking to compare and contrast research findings.
  • Less expensive: Secondary data are generally less expensive than primary data, as they do not require the researcher to incur the costs associated with data collection.
  • Potential for bias : Secondary data may be subject to biases that were present in the original data collection process. For example, data may have been collected using a biased sampling method or the data may be incomplete or inaccurate.
  • Lack of control: The researcher has no control over the data collection process and cannot ensure that the data were collected using appropriate methods or measures.
  • Requires careful evaluation : Secondary data sources must be evaluated carefully to ensure that they are appropriate for the research question and analysis. This includes assessing the quality, reliability, and validity of the data sources.

Advantages of Secondary Data

There are several advantages to using secondary data in research, including:

  • Time-saving : Collecting primary data can be time-consuming and expensive. Secondary data can be accessed quickly and easily, which can save researchers time and resources.
  • Cost-effective: Secondary data are generally less expensive than primary data, as they do not require the researcher to incur the costs associated with data collection.
  • Large sample size : Secondary data sources often have larger sample sizes than primary data sources, which can increase the statistical power of the research.
  • Access to historical data : Secondary data sources can provide access to historical data, which can be useful for researchers who are studying trends over time.
  • No ethical concerns: Secondary data are already in existence, so there are no ethical concerns related to collecting data from human subjects.
  • May be more objective : Secondary data may be more objective than primary data, as the data were not collected for the specific purpose of the research study.

Limitations of Secondary Data

While there are many advantages to using secondary data in research, there are also some limitations that should be considered. Some of the main limitations of secondary data include:

  • Lack of control over data quality : Researchers do not have control over the data collection process, which means they cannot ensure the accuracy or completeness of the data.
  • Limited availability: Secondary data may not be available for the specific research question or study design.
  • Lack of information on sampling and data collection methods: Researchers may not have access to information on the sampling and data collection methods used to gather the secondary data. This can make it difficult to evaluate the quality of the data.
  • Data may not be up-to-date: Secondary data may not be up-to-date or relevant to the current research question.
  • Data may be incomplete or inaccurate : Secondary data may be incomplete or inaccurate due to missing or incorrect data points, data entry errors, or other factors.
  • Biases in data collection: The data may have been collected using biased sampling or data collection methods, which can limit the validity of the data.
  • Lack of control over variables: Researchers have limited control over the variables that were measured in the original data collection process, which can limit the ability to draw conclusions about causality.

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13 Secondary Data Examples

secondary data examples and definition, explained below

In academic research, secondary data refers to data that has been previously gathered and published by others, and is used as a source of information for new research studies.

It is defined by Ibrahim (2017) as:

“…data which has already been collected and used for other purposes other than for the sole purpose of the current study.”

This is juxtaposed to primary data , which is considered data that was collected by the researchers through empirical research.

Examples of secondary data include government census data that researchers will parse for trends, and previous academic studies that researchers will examined during a meta-analysis or literature review.

chris

Secondary Data Examples

1. government census data.

Most governments conduct national censuses every few years. This census asks everyone in the whole country to complete a survey on the exact same evening.

A census will generally collect data such as how many people live in the house, their job role, income, genders, education level, and many other factors.

This cross-sectional data is considered some of the highest quality population-wide data available. For governments, it is used for distributing proportionate funding to school districts, health areas, and local governments. But for researchers, we can repurpose it for a wide range of other studies.

When researchers repurpose openly available government census data, they are using it as a secondary dataset to find new trends and insights into a population.

2. Academic Journal Articles

Whenever you conduct a literature review or meta-analysis, you’re using secondary data in the form of journal articles.

Generally, a literature review will involve a researcher systematically analyzing the findings of other people’s studies that was reported in academic journal articles. They will then critique those studies, sort them into themes or groups, and identify recommendations for future research (in the form of a research gap).

Because the researcher is conducting a study by parsing through other people’s research data , this is considered secondary data.

3. Government Reports

Government reports produced by governmental departments – such as health or education departments – often contain detailed information on specific topics, such as economic performance, health statistics, environmental conditions, and social issues.

They present results from government-commissioned research, surveys, or administrative data collected through government activities – and this is a goldmine for being repurposed for other studies.

These reports provide valuable insights into specific areas of public interest and policy and are considered a reliable source of information due to their official and often comprehensive nature.

Researchers use these government reports as secondary data to analyze trends, assess policy impacts, or inform further research on government-related topics.

4. Historical Records

Historical records include documents, artifacts, and other sources of information that have been preserved from the past.

These can range from official documents like birth and death records, legislative texts, and court proceedings, to personal items like letters, diaries, and photographs.

These records provide a window into the lives, cultures, and events of the past, offering invaluable data for historical research.

When researchers use these records, they access secondary data to explore historical trends, understand societal changes, or construct narratives about past events and eras.

5. Statistical Databases

Statistical databases are comprehensive collections of data, often compiled and maintained by governmental organizations, research institutions, or private entities.

These databases aggregate a wide array of statistical information, covering areas like demographics, economics, health, education, and crime statistics. They often provide data in a structured format, which can be used for various analytical purposes.

Researchers utilize these databases as a source of secondary data to conduct quantitative analysis, identify patterns and trends, and validate hypotheses in their studies.

The breadth and depth of statistical databases make them an invaluable resource for researchers looking to support their findings with robust, aggregated data.

6. Health Records

Health records consist of detailed patient information, including medical history, diagnoses, treatment plans, and outcomes. These records are typically generated and maintained by healthcare providers and institutions.

These records provide a wealth of information on patient demographics, disease prevalence, treatment effectiveness, and healthcare practices.

When researchers access these records, they use them as secondary data for studies in epidemiology, public health, healthcare policy, and medical research.

The use of health records in research can reveal critical insights into disease patterns, treatment outcomes, and healthcare disparities, although it must be done with strict adherence to privacy laws and ethical considerations.

7. Public Opinion Polls

Public opinion polls are surveys conducted to gauge the public’s views on various topics, including politics, social issues, consumer preferences, and cultural trends.

These polls are typically conducted by research firms, media outlets, or academic institutions and involve asking a sample of the population a series of questions to infer the opinions of the broader population.

Researchers use the data from public opinion polls as secondary data to analyze societal trends, public attitudes, and behavioral patterns. This information is particularly valuable in fields like political science, sociology, and marketing, where understanding public opinion is crucial.

The use of public opinion polls in research provides insights into the collective mindset and can inform policy-making, market strategies, and social studies.

8. Satellite Imagery

Satellite imagery encompasses visual data and photographs of the Earth captured by satellites orbiting the planet, and are often re-used for scholarly research.

These images provide detailed, high-resolution views of various geographic and environmental features, such as landscapes, urban areas, weather patterns, and changes in land use over time.

Agencies like NASA and private satellite companies regularly collect and disseminate this type of data .

Researchers use satellite imagery as secondary data in fields like environmental science, geography, urban planning, and disaster management.

By analyzing these images, they can monitor environmental changes, assess the impact of natural disasters, plan urban development, and conduct a wide range of geographical and environmental research.

9. Social Media Data

Social media data comprises the vast amount of information generated by users on social media platforms, including posts, likes, shares, comments, and network connections.

This data reflects user behavior, opinions, and interactions on platforms like Facebook, Twitter, Instagram, and LinkedIn.

When researchers use social media data as secondary data, they can analyze trends in public opinion, consumer behavior, social interactions, and communication patterns.

This data is particularly useful in fields like marketing, sociology, political science, and psychology, offering insights into the digital footprint and behaviors of large groups of individuals.

10. Trade and Economic Indexes

Trade and economic indexes are statistical measures that provide insights into the economic performance and trade activities of countries or regions.

Examples include the Consumer Price Index (CPI), Gross Domestic Product (GDP), stock market indexes, and trade balance figures. These indexes are compiled by governmental agencies, financial institutions, and international organizations.

Researchers use these indexes as secondary data to study economic trends, assess market conditions, and inform economic policy decisions.

The analysis of trade and economic indexes is crucial in fields like economics, finance, and international business, as it helps to understand economic health, predict future market trends, and develop economic theories and models.

11. Demographic Surveys

Demographic surveys collect data about the characteristics of populations, such as age, sex, income level, education, employment status, and household composition.

These surveys are often conducted by governmental agencies, research organizations, and marketing firms to gather detailed information about a specific population or community.

Researchers use demographic surveys as secondary data to understand population dynamics, social trends, and consumer behavior. This data is crucial for studies in sociology, economics, public health, urban planning, and marketing, providing insights into the composition, needs, and preferences of different demographic groups.

12. Internet Search Data

Internet search data consists of the information generated by users’ activities on search engines, such as search queries, clicks, and browsing history.

This data reflects the interests, needs, and behaviors of internet users and is continuously collected by companies like Google, Bing, and Yahoo.

When researchers analyze internet search data as secondary data, they gain insights into public interest trends, information-seeking behaviors, and cultural shifts.

It is particularly valuable in digital marketing, information technology, and social sciences, as it provides real-time indicators of what is capturing the public’s attention.

13. Metadata

Metadata refers to data about data, providing information about various aspects of a dataset, such as its source, creation date, author, format, and content description.

It is used to organize, manage, and understand data more effectively, and is found in various forms, such as file properties, database schemas, and documentation accompanying datasets.

Researchers use metadata as secondary data to assess the quality, relevance, and context of primary data sources . In fields like data science, library science, and information management, metadata is crucial for data curation, ensuring data integrity, and facilitating data discovery and interoperability.

Primary vs Secondary Data

Primary data is collected directly from the source, offering current and specific information tailored to the researcher’s needs. In contrast, secondary data is already existing information gathered by someone else, often more general and possibly outdated, but quicker and less expensive to acquire.

See the following table for a detailed comparison:

Secondary Data Strengths and Weaknesses

Using secondary data in research offers benefits such as cost-effectiveness and access to a broad range of historical and large-scale data, which can enhance the depth and breadth of analysis (Cameron & Price, 2009).

However, its limitations include potential issues with data relevance, accuracy, and reliability, as the data was originally collected for different purposes and might not align perfectly with the current research objectives .

Below is a table comparing some main pros and cons:

Cameron, S., & Price, D. (2009). Business Research Methods: A Practical Approach . Kogan Page.

Gupta, A. (2020). Advanced Statistics for various. SBPD Publications.

Ibrahim, R. A. (2017).  The Relationship Between Financial Deepening and Economic Growth in Kenya  (Doctoral dissertation, University of Nairobi).

Kenett, R. S., & Shmueli, G. (2016). Information Quality: The Potential of Data and Analytics to Generate Knowledge. Wiley.

Kumar, R. (2010). Research Methodology: A Step-by-Step Guide for Beginners . SAGE Publications.

Neelankavil. (2015). International Business Research. Taylor & Francis Group.

Rodriguez, L., Crossman, J., & Bordia, S. (2021). An interdisciplinary approach to secondary qualitative data analysis: what why and how. In  Handbook of qualitative research methodologies in workplace contexts  (pp. 133-156). Edward Elgar Publishing.

Wilson, J. (2021). Understanding Research for Business Students: A Complete Student’s Guide . SAGE Publications.

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Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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10 facts about today’s college graduates

A San Jose State University graduate prepares for commencement ceremonies with his family in December 2021.

Having a bachelor’s degree remains an important advantage in many sectors of the U.S. labor market. College graduates generally out-earn those who have not attended college, and they are more likely to be employed in the first place. At the same time, many Americans say they cannot afford to get a four-year degree – or that they just don’t want to.

Here are key facts about American college graduates.

This Pew Research Center analysis about U.S. college graduates relies on data from sources including the Census Bureau, the Bureau of Labor Statistics, the National Center for Education Statistics, the National Student Clearinghouse and the Federal Reserve Bank, as well as surveys conducted by the Center.

Everyone who took the Pew Research Center surveys cited is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about  the ATP’s methodology .

Nearly four-in-ten Americans ages 25 and older have a bachelor’s degree, a share that has grown over the last decade. As of 2021, 37.9% of adults in this age group held a bachelor’s degree, including 14.3% who also obtained a graduate or professional degree, according to data from the Census Bureau’s Current Population Survey. That share is up 7.5 percentage points from 30.4% in 2011.

An additional 10.5% had an associate degree in 2021. About four-in-ten Americans ages 25 and older had a high school diploma with no further education (25.3%) or completed some college but didn’t have a degree (14.9%).

In a reversal, women are now more likely than men to graduate from college, according to the Current Population Survey . In 2021, 39% of women ages 25 and older had a bachelor’s degree or more education, compared with 37% of men in the same age range. The gap in college completion is even wider among adults ages 25 to 34: 46% of women in this age group have at least a bachelor’s degree, compared with 36% of men.

A line graph showing that women in the U.S. are outpacing men in college graduation

In an October 2021 Pew Research Center survey of Americans without a degree, 34% of men said a major reason why they have not received a four-year college degree is that they just didn’t want to. Only one-in-four women said the same. Men were also more likely to say a major reason they didn’t have a four-year degree is that they didn’t need more education for the job or career they wanted (26% of men said this vs. 20% of women).

A chart showing that about a third of men who haven't completed four years of college say they 'just didn't want to' get a degree

Women (44%) were more likely than men (39%) to say not being able to afford college was a major reason they don’t have a bachelor’s degree. Men and women were about equally likely to say a major impediment was needing to work to help support their family.

A line graph showing that since 2000, the share of Americans with a bachelor's degree has increased across all races and ethnicities

There are racial and ethnic differences in college graduation patterns, as well as in the reasons for not completing a degree. Among adults ages 25 and older, 61% of Asian Americans have a bachelor’s degree or more education, along with 42% of White adults, 28% of Black adults and 21% of Hispanic adults, according to 2021 Current Population Survey data. The share of bachelor’s degree holders in each group has increased since 2010. That year, 52% of Asian Americans had a four-year degree or more, compared with a third of White adults, 20% of Black adults and 14% of Hispanic adults.

The October 2021 Center survey found that among adults without a bachelor’s degree, Hispanic adults (52%) were more likely than those who are White (39%) or Black (41%) to say a major reason they didn’t graduate from a four-year college is that they couldn’t afford it. Hispanic and Black adults were more likely than their White counterparts to say needing to work to support their family was a major reason.

While a third of White adults said not wanting to go to school was a major reason they didn’t complete a four-year degree, smaller shares of Black (22%) and Hispanic (23%) adults said the same. White adults were also more likely to cite not needing more education for the job or career they wanted. (There weren’t enough Asian adults without a bachelor’s degree in the sample to analyze separately.)

A bar chart showing that only about 62% of college students finish their program within six years

Only 62% of students who start a degree or certificate program finish their program within six years, according to the most recent data from the  National Student Clearinghouse , a nonprofit verification and research organization that tracked first-time college students who enrolled in fall 2015 with the intent of pursuing a degree or certificate. The degree completion rate for this group was highest among students who started at four-year, private, nonprofit schools (78.3%), and lowest among those who started at two-year public institutions (42.2%).

Business is the most commonly held bachelor’s degree, followed by health professions.  According to the  National Center for Education Statistics , about a fifth (19%) of the roughly 2 million bachelor’s degrees conferred in 2019-20 were in business. Health professions and related programs were the second most-popular field, making up 12.6% of degrees conferred that year. Business has been the single most common major since 1980-81; before that, education led the way.

The  least  common bachelor’s degrees in 2019-20 were in military technologies and applied sciences (1,156 degrees conferred in 2019-20), library science (118), and precision production (39).

There is a growing earnings gap between young college graduates and their counterparts without degrees. In 2021, full-time workers ages 22 to 27 who held a bachelor’s degree, but no further education, made a median annual wage of $52,000, compared with $30,000 for full-time workers of the same age with a high school diploma and no degree, according to data from the Bureau of Labor Statistics. This gap has widened over time. Young bachelor’s degree holders earned a median annual wage of $48,481 in 1990, compared with $35,257 for full-time workers ages 22 to 27 with a high school diploma.

The unemployment rate is lower for college graduates than for workers without a bachelor’s degree, and that gap widened as a result of the coronavirus pandemic. In February 2020, just before the COVID-19 outbreak began in the U.S., only 1.9% of college graduates ages 25 and older were unemployed, compared with 3.1% of workers who completed some college but not a four-year degree, and 3.7% of workers with only a high school diploma. By June 2020, after the pandemic hit, 6.8% of college grads, 10.8% of workers with some college, and 12.2% of high school grads were unemployed.

By March 2022, the unemployment rate had nearly returned to pre-pandemic levels for college graduates (2%) while dropping to 3% among those with some college education but no four-year degree, and 4% among those with only a high school diploma.

A line graph showing that underemployed recent college grads are becoming less likely to work in 'good non-college jobs'

Recent college graduates are more likely than graduates overall to be underemployed – that is, working in jobs that typically do not require a college degree, according to an analysis of Census Bureau and BLS data by the Federal Reserve Bank of New York . As of December 2021, 41% of college graduates ages 22 to 27 were underemployed, compared with 34% among all college graduates. The underemployment rates for recent college grads rose in 2020 as the COVID-19 outbreak strained the job market, but have since returned to pre-pandemic levels.

As of the end of 2021, only 34% of underemployed graduates ages 22 to 27 worked what the Fed defines as “good non-college jobs” – those paying at least $45,000 a year – down from around half in the 1990s. The share of underemployed graduates ages 22 to 27 in low-wage jobs – those earning less than $25,000 annually – rose from about 9% in 1990 to 11% last year.

A chart showing that among household heads with at least a bachelor's degree, those with a college-educated parent are typically wealthier and have greater incomes

When it comes to income and wealth accumulation, first-generation college graduates lag substantially behind those with college-educated parents, according to a May 2021 Pew Research Center analysis . Households headed by a first-generation college graduate – that is, someone who has completed at least a bachelor’s degree but does not have a parent with a college degree – had a median annual income of $99,600 in 2019, compared with $135,800 for households headed by those with at least one parent who graduated from college. The median wealth of households headed by first-generation college graduates ($152,000) also trailed that of households headed by someone with a parent who graduated from college ($244,500). The higher household income of the latter facilitates saving and wealth accumulation.

The gap also reflects differences in how individuals finance their education. Second-generation college graduates tend to come from  more affluent families , while first-generation college graduates are more likely to incur education debt than those with a college-educated parent.

Most Americans with college degrees see value in their experience. In the Center’s October 2021 survey , majorities of graduates said their college education was extremely or very useful when it came to helping them grow personally and intellectually (79%), opening doors to job opportunities (70%) and developing specific skills and knowledge that could be used in the workplace (65%).

Younger college graduates were less likely than older ones to see value in their college education. For example, only a third of college graduates younger than 50 said their college experience was extremely useful in helping them develop skills and knowledge that could be used in the workplace. Among college graduates ages 50 and older, 45% said this.

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Most Americans think U.S. K-12 STEM education isn’t above average, but test results paint a mixed picture

About 1 in 4 u.s. teachers say their school went into a gun-related lockdown in the last school year, about half of americans say public k-12 education is going in the wrong direction, what public k-12 teachers want americans to know about teaching, what’s it like to be a teacher in america today, most popular.

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  4. What is secondary research: Definition, methods and examples

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  1. Secondary Research

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COMMENTS

  1. What is Secondary Research?

    Learn what secondary research is, when to use it, and how to find and analyze data from existing sources. See examples of secondary research in different disciplines and formats.

  2. Secondary Research: Definition, Methods & Examples

    Secondary research, also known as desk research, is a research method that involves compiling existing data sourced from a variety of channels. This includes internal sources (e.g.in-house research) or, more commonly, external sources (such as government statistics, organizational bodies, and the internet).

  3. 15 Secondary Research Examples (2024)

    Secondary research is the analysis, summary or synthesis of already existing published research. Learn how to conduct secondary research with 15 examples from different fields, such as literature reviews, meta-analyses, and case studies. See the sources and summaries of each example.

  4. Secondary Research: Definition, Methods & Examples

    So, rightly secondary research is also termed " desk research ", as data can be retrieved from sitting behind a desk. The following are popularly used secondary research methods and examples: 1. Data Available on The Internet. One of the most popular ways to collect secondary data is the internet.

  5. Secondary Research Guide: Definition, Methods, Examples

    Secondary research methods focus on analyzing existing data rather than collecting primary data. Common examples of secondary research methods include: Literature review. Researchers analyze and synthesize existing literature (e.g., white papers, research papers, articles) to find knowledge gaps and build on current findings. Content analysis.

  6. What is Secondary Research? Types, Methods, Examples

    Learn what secondary research is, how it differs from primary research, and how to conduct it. Explore various types of secondary sources, such as internal, external, published, and online, and see examples of each.

  7. What is Secondary Research? + [Methods & Examples]

    Secondary research is a common approach to systematic investigation that depends on existing data from different sources, such as the internet, libraries, archives, and educational facilities. Learn how to conduct secondary research with Formplus and see some examples of secondary research methods and advantages.

  8. What is Secondary Research? Explanation & How-to

    Overview of secondary research. Secondary research is a method by which the researcher finds existing data, filters it to meet the context of their research question, analyzes it, and then summarizes it to come up with valid research conclusions. This research method involves searching for information, often via the internet, using keywords or ...

  9. Secondary research

    Common examples of secondary research include textbooks, encyclopedias, news articles, review articles, and meta analyses. When conducting secondary research, authors may draw data from published academic papers, government documents, statistical databases, and historical records.

  10. Secondary Research

    Secondary research is considered human subjects research that requires IRB review when the specimens/data are identifiable to the researchers and were collected for another purpose than the planned research. The following is an example of secondary research: An investigator learns of preliminary data from a study that suggests cigarette smoking leads to specific epigenetic changes that ...

  11. Secondary Research

    Secondary research. Secondary research uses research and data that has already been carried out. It is sometimes referred to as desk research. It is a good starting point for any type of research as it enables you to analyse what research has already been undertaken and identify any gaps. You may only need to carry out secondary research for ...

  12. Secondary Research: Methods, Examples, and Strategic Insights

    Secondary Research: Methods, Examples, and Strategic Insights. Kate Williams. 16 October 2023. 6 min read. Secondary research involves the analysis and interpretation of existing data and information collected by others. It provides valuable insights for informed decision-making without conducting new surveys or experiments.

  13. What is secondary research: Definition, methods and examples

    Learn what secondary research is, how it differs from primary research, and what methods and sources you can use for it. See examples of secondary research topics and steps to conduct it effectively.

  14. 19 Examples of Secondary Research

    This is typically far cheaper and faster than primary research that requires experiments or analysis of raw data. The following are illustrative examples of sources that are used in secondary research. Biographies. Calculations (by someone else) Commentary (third-party) Government Data. Government Statistics.

  15. What is Secondary Research?

    Secondary research is a research method that uses data that was collected by someone else. It can be qualitative or quantitative in nature and often uses data from published sources. Learn the advantages and disadvantages of secondary research, the types of secondary research (statistical analysis, literature review, case study, content analysis), and see examples of each type.

  16. A guide to secondary research: methods, examples, benefits

    Examples of secondary research sources. There are many types of desk research available. Many of these are online documents or published works, such as books. Some of the most common examples of desk research include: textbooks. news articles. university-published studies. encyclopaedias. published market research.

  17. What is Secondary Research?

    Types of Secondary Research Secondary research, also known as desk research, refers to the process of gathering and analyzing existing data and information collected by others. It involves utilizing pre-existing sources to explore a specific topic or research question. Here are some common types with secondary research examples: Literature Reviews

  18. Primary Research vs Secondary Research in 2024: Definitions

    Examples of Primary Research vs Secondary Research. The following table illustrates the differences between primary and secondary research examples. The first column lists examples of topics, while the second column provides primary research examples of methods and materials that researchers can use for collecting data on these topics. On the ...

  19. What is Secondary Research? [+ Examples and Types]

    Examples of Secondary Research. 1. Choosing a location. An example of secondary research could be analyzing 15 different designated market areas (DMAs) or metro areas. The 15 markets would be pre-determined by the client. Various paid syndicated data sources and publicly available information would be used to source data.

  20. Secondary Data

    Types of secondary data are as follows: Published data: Published data refers to data that has been published in books, magazines, newspapers, and other print media. Examples include statistical reports, market research reports, and scholarly articles. Government data: Government data refers to data collected by government agencies and departments.

  21. 13 Secondary Data Examples (2024)

    It is defined by Ibrahim (2017) as: "…data which has already been collected and used for other purposes other than for the sole purpose of the current study.". This is juxtaposed to primary data, which is considered data that was collected by the researchers through empirical research. Examples of secondary data include government census ...

  22. Difference Between Primary and Secondary Data

    For example, raw recordings of interviews represent the primary data, and the transcripts derived from them are the secondary data: Secondary data can contain many items without a clear structure, as the data can come from various internal and external databases, published works, non-published documents, maps, photographs, videos, and so forth.

  23. Sample Size Essentials: The Foundation of Reliable Statistics

    Sample size is the number of observations or data points collected in a study. It is a crucial element in any statistical analysis because it is the foundation for drawing inferences and conclusions about a larger population. When delving into the world of statistics, the phrase "sample size" often pops up, carrying with it the weight of ...

  24. Key facts about U.S. college graduates

    In a reversal, women are now more likely than men to graduate from college, according to the Current Population Survey. In 2021, 39% of women ages 25 and older had a bachelor's degree or more education, compared with 37% of men in the same age range. The gap in college completion is even wider among adults ages 25 to 34: 46% of women in this ...