research and it's types

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What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

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Types of Research – Explained with Examples

• By DiscoverPhDs
• October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

• Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
• Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

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Research methods--quantitative, qualitative, and more: overview.

• Quantitative Research
• Qualitative Research
• Data Science Methods (Machine Learning, AI, Big Data)
• Text Mining and Computational Text Analysis
• Evidence Synthesis/Systematic Reviews
• Get Data, Get Help!

About Research Methods

This guide provides an overview of research methods, how to choose and use them, and supports and resources at UC Berkeley. 

As Patten and Newhart note in the book Understanding Research Methods , "Research methods are the building blocks of the scientific enterprise. They are the "how" for building systematic knowledge. The accumulation of knowledge through research is by its nature a collective endeavor. Each well-designed study provides evidence that may support, amend, refute, or deepen the understanding of existing knowledge...Decisions are important throughout the practice of research and are designed to help researchers collect evidence that includes the full spectrum of the phenomenon under study, to maintain logical rules, and to mitigate or account for possible sources of bias. In many ways, learning research methods is learning how to see and make these decisions."

The choice of methods varies by discipline, by the kind of phenomenon being studied and the data being used to study it, by the technology available, and more.  This guide is an introduction, but if you don't see what you need here, always contact your subject librarian, and/or take a look to see if there's a library research guide that will answer your question. 

Suggestions for changes and additions to this guide are welcome! 

START HERE: SAGE Research Methods

Without question, the most comprehensive resource available from the library is SAGE Research Methods.  HERE IS THE ONLINE GUIDE  to this one-stop shopping collection, and some helpful links are below:

• SAGE Research Methods
• Little Green Books  (Quantitative Methods)
• Little Blue Books  (Qualitative Methods)
• Dictionaries and Encyclopedias  
• Case studies of real research projects
• Sample datasets for hands-on practice
• Streaming video--see methods come to life
• Methodspace- -a community for researchers
• SAGE Research Methods Course Mapping

Library Data Services at UC Berkeley

Library Data Services Program and Digital Scholarship Services

The LDSP offers a variety of services and tools !  From this link, check out pages for each of the following topics:  discovering data, managing data, collecting data, GIS data, text data mining, publishing data, digital scholarship, open science, and the Research Data Management Program.

Be sure also to check out the visual guide to where to seek assistance on campus with any research question you may have!

Library GIS Services

Other Data Services at Berkeley

D-Lab Supports Berkeley faculty, staff, and graduate students with research in data intensive social science, including a wide range of training and workshop offerings Dryad Dryad is a simple self-service tool for researchers to use in publishing their datasets. It provides tools for the effective publication of and access to research data. Geospatial Innovation Facility (GIF) Provides leadership and training across a broad array of integrated mapping technologies on campu Research Data Management A UC Berkeley guide and consulting service for research data management issues

General Research Methods Resources

Here are some general resources for assistance:

• Assistance from ICPSR (must create an account to access): Getting Help with Data , and Resources for Students
• Wiley Stats Ref for background information on statistics topics
• Survey Documentation and Analysis (SDA) .  Program for easy web-based analysis of survey data.

Consultants

• D-Lab/Data Science Discovery Consultants Request help with your research project from peer consultants.
• Research data (RDM) consulting Meet with RDM consultants before designing the data security, storage, and sharing aspects of your qualitative project.
• Statistics Department Consulting Services A service in which advanced graduate students, under faculty supervision, are available to consult during specified hours in the Fall and Spring semesters.

Related Resourcex

• IRB / CPHS Qualitative research projects with human subjects often require that you go through an ethics review.
• OURS (Office of Undergraduate Research and Scholarships) OURS supports undergraduates who want to embark on research projects and assistantships. In particular, check out their "Getting Started in Research" workshops
• Sponsored Projects Sponsored projects works with researchers applying for major external grants.
• Next: Quantitative Research >>
• Last Updated: Apr 3, 2023 3:14 PM
• URL: https://guides.lib.berkeley.edu/researchmethods

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• Methodology

Research Methods | Definition, Types, Examples

Research methods are specific procedures for collecting and analysing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs quantitative : Will your data take the form of words or numbers?
• Primary vs secondary : Will you collect original data yourself, or will you use data that have already been collected by someone else?
• Descriptive vs experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyse the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analysing data, examples of data analysis methods, frequently asked questions about methodology.

Data are the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach, where you use both qualitative and quantitative research methods.

Primary vs secondary data

Primary data are any original information that you collect for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary data are information that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data. But if you want to synthesise existing knowledge, analyse historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

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Your data analysis methods will depend on the type of data you collect and how you prepare them for analysis.

Data can often be analysed both quantitatively and qualitatively. For example, survey responses could be analysed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that were collected:

• From open-ended survey and interview questions, literature reviews, case studies, and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions.

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that were collected either:

• During an experiment.
• Using probability sampling methods .

Because the data are collected and analysed in a statistically valid way, the results of quantitative analysis can be easily standardised and shared among researchers.

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.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

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.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

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A Guide to the Types of Research and How They're Used

Know before you read At SNHU, we want to make sure you have the information you need to make decisions about your education and your future—no matter where you choose to go to school. That's why our informational articles may reference careers for which we do not offer academic programs, along with salary data for those careers. Cited projections do not guarantee actual salary or job growth.

Research is the discovery of new ideas. By identifying a problem and devising solutions using source-based evidence, you can apply research to just about any academic area and to many professions, according to Dr. Matthew Schandler , an adjunct instructor of history and academic partner at Southern New Hampshire University (SNHU). Schandler applies his background in political science, data science and history of technology to his work teaching a history research capstone course  at SNHU.

Jeremy Pedigo , an adjunct instructor of history and academic partner at SNHU, said that research allows you to discover new ideas that are relevant to your academic field and profession. The process involves answering research questions using scholarly sources . Pedigo is a doctoral student in history himself (doctorates in history are not currently available at SNHU).

Overview of Research

Research is about much more than searching for keywords in a search engine. Schandler said that any type of academic research should center around first identifying a problem and then devising solutions to that problem. The process for devising those solutions depends largely on your content area.

According to the National Institutes of Health ( NIH ), quantitative research is the more empirical of the two types, meaning it's based on observation or experience rather than logic. Generally applied to the research conducted with clinical studies or that has measurable outcomes, data tends to be numerical or deductive. Conclusions are typically based on results from studies and various survey methods. This type of research is well-suited for testing hypotheses and establishing cause-and-effect relationships.

Qualitative research tends to be more narrative in scope, as explained by NIH . Interviews measuring viewpoints and opinions, as well as historical or literary studies, are commonly used for qualitative studies. With this type of research, examining theories and describing decision-making or communication processes is common.

What are the Basic Types of Research?

Once you have determined your research question, you’ll need to decide if you are going to apply a fundamental or applied approach, according to Pedigo.

▸ Fundamental and Applied Research

Fundamental research , as its name implies, is the most basic type of research. “It seeks to answer a general question or find a causal relationship between multiple factors,” Pedigo said. This is particularly useful in undergraduate courses when students are building a foundation of knowledge in their subject area.

Pedigo lists these as common sources frequently used to conduct fundamental research:

• Books, letters and private papers
• Credible websites and interviews
• Newspaper and magazine articles
• Manuscripts
• Peer-reviewed articles

Applied research seeks to understand societal problems and find solutions to improve everyday life. This involves applying concepts in business, natural sciences and behavioral and social sciences to improve aspects of society. Applied research allows you to apply what you’ve learned to solving problems, Pedigo said.

Common sources of applied research, according to Pedigo, are:

• Academic books
• Focus groups and surveys
• Government reports

▸ Theoretical and Experimental Research

“Theoretical research attempts to measure a theory or phenomenon to determine its relevancy based on research findings,” Pedigo said. “Whereas experimental research is the study of two or more variables with a control group and an experimental group.”

Deciding which to use depends a great deal on the type of problem you're trying to solve:

• Theoretical research is rooted in hypothetical situations.
• Experimental research is where theories are tested for validity.

Physics is another area where theoretical and experimental research types are commonly applied, according to Schandler.

“Theoretical physicists develop models to consider inexplicable phenomena,” he said. For example, famed astronomer Edwin Hubble conducted theoretical research to try to prove that nebulae existed beyond the Milky Way. Hubble later developed new telescopic equipment to test his theory using experimental research.

Which Careers Focus on Research?

Research skills can enhance virtually any career. Some careers, like scientists or college professors, focus on research as a core aspect of the work. Many other careers benefit from people who bring strong research skills to their roles.

According to Pedigo, some examples of careers where strong research skills could be particularly helpful are:

• Data Scientist , where you could use research skills to gather and analyze data to develop algorithms or recommend systems and processes. According to the U.S. Bureau of Labor Statistics (BLS), the median salary for jobs in this role was $103,500 in 2022.* Explore a master's degree in data analytics .
• Mechanical Engineer , where you could research new ways to build or enhance mechanical systems, or design new energy systems or other processes to solve problems. The median salary for jobs in this role was $96,310 in 2022, according to BLS.* Explore a degree in mechanical engineering .
• Environmental Scientist , where research into climate change, pollution or water sources could help you make the world a cleaner and healthier place. BLS shows the median salary for this position was $76,480 in 2022.* Explore a degree in environmental science .
• Historian , where you could specialize in any number of areas. Historians may work at universities, nonprofits, governmental organizations or museums, to name just a few of the possibilities. While salaries can vary widely, BLS lists the median salary for historians as $64,540 in 2022.* Explore a degree in history .
• Management Analyst , where you could work in a variety of businesses researching market trends and making recommendations to improve business operations. The median salary for jobs in this role was $95,290 per year in 2022, according to BLS.* Explore a Master of Business Administration .

Find Your Program

What are the top skills needed for a research career.

Having the desire to learn a new topic and discover new findings is critical to becoming a strong researcher, according to Pedigo. He noted the following skills in particular as stand-outs for conducting research, regardless of field:

• Computational proficiency , including using online databases. Strong computer search skills enhance the ability to seek out information from different perspectives.
• Documentation and note-taking , both of which are an absolute must, according to Schandler. “If you don’t read materials actively and accurately, you won’t make the nuanced connections needed to draw accurate conclusions,” he said.
• Literary ability , which includes writing outlines, taking notes of research papers and writing in the appropriate academic style for your discipline is critically important, according to both Pedigo and Schandler.
• Intellectual curiosity is a must-have trait. “If one lacks a drive for knowledge, they might not ask the important questions essential to guiding the research process,” Schandler said.
• Organizational skills are also vital. Working with research can involve working with large volumes of information. Developing a process to keep research structured is necessary.

Pedigo also noted that taking full advantage of academic resources through your university library is helpful. “You’ll want to become familiar with your library and its staff to learn about the types of sources and services available to students, faculty and staff, and how they can help aid you in your research,” he said.

Those resources can be very helpful when it comes to ensuring that you write with integrity and report your research findings accurately.

The Key to Conducting Research

Regardless of the method you use, the most important aspect of conducting any kind of research is that it leads to actionable outcomes. By staying focused on the core question you're trying to answer, researchers in any discipline can help increase knowledge in their field and find new ways for information to cross over into other disciplines.

Schandler said that “in a world rife with disinformation and misinformation, research steers analysts towards deeper understandings.” He feels that the interdisciplinary, collaborative sharing of research findings ensures creative solutions to the world’s great problems, past and present.

A degree can change your life. Choose your program  from 200+ SNHU degrees that can take you where you want to go.

*Cited job growth projections may not reflect local and/or short-term economic or job conditions and do not guarantee actual job growth. Actual salaries and/or earning potential may be the result of a combination of factors including, but not limited to: years of experience, industry of employment, geographic location, and worker skill.

Marie Morganelli, PhD, is an educator, writer and editor.

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Research Basics

• What Is Research?
• Types of Research
• Secondary Research | Literature Review
• Developing Your Topic
• Primary vs. Secondary Sources
• Evaluating Sources
• Responsible Conduct of Research
• Additional Help

A good working definition of research might be:

Research is the deliberate, purposeful, and systematic gathering of data, information, facts, and/or opinions for the advancement of personal, societal, or overall human knowledge.

Based on this definition, we all do research all the time. Most of this research is casual research. Asking friends what they think of different restaurants, looking up reviews of various products online, learning more about celebrities; these are all research.

Formal research includes the type of research most people think of when they hear the term “research”: scientists in white coats working in a fully equipped laboratory. But formal research is a much broader category that just this. Most people will never do laboratory research after graduating from college, but almost everybody will have to do some sort of formal research at some point in their careers.

So What Do We Mean By “Formal Research?”

Casual research is inward facing: it’s done to satisfy our own curiosity or meet our own needs, whether that’s choosing a reliable car or figuring out what to watch on TV. Formal research is outward facing. While it may satisfy our own curiosity, it’s primarily intended to be shared in order to achieve some purpose. That purpose could be anything: finding a cure for cancer, securing funding for a new business, improving some process at your workplace, proving the latest theory in quantum physics, or even just getting a good grade in your Humanities 200 class.

What sets formal research apart from casual research is the documentation of where you gathered your information from. This is done in the form of “citations” and “bibliographies.” Citing sources is covered in the section "Citing Your Sources."

Formal research also follows certain common patterns depending on what the research is trying to show or prove. These are covered in the section “Types of Research.”

• Next: Types of Research >>
• Last Updated: Dec 21, 2023 3:49 PM
• URL: https://guides.library.iit.edu/research_basics

• How it works

Types of Research – Tips and Examples

Published by Carmen Troy at August 16th, 2021 , Revised On October 26, 2023

“Research is an investigation conducted to seek knowledge and find solutions to scientific and social problems.”

It includes the collection of information from various sources. New research can contribute to existing knowledge.

The types of research can be categorised from the following perspectives;

• Application of the study
• Aim of the research
• Mode of inquiry
• Research approach

Types of Research According to the Application Perspective

The different types of research, according to the application perspective, include the following.

Basic Research

Primary research is conducted to increase knowledge. It is also known as theoretical research, pure research, and fundamental research. It provides in-depth knowledge about the scientific and logical explanations and their conclusions.

The results of the primary research are used as the base of applied research. It is based on  experiments  and observation. The results of basic research are published in peer-reviewed journals.

• What is global warming?
• How did the Universe begin?
• What do humans get stress?

Applied Research

Applied research is conducted to find solutions for practical problems. It uses the outcomes of basic research as its base. The results of applied research are applied immediately. It includes case studies, experimental research.

Example: Finding the solution to control air pollution.

Descriptive Research

Descriptive research  is carried out to describe current issues, programs, and provides information about the issue through  surveys  and various fact-finding methods.

It includes co-relational and comparative methods of research. It follows the Ex post facto research, which predicts the possible reasons behind the situation that has already occurred.

A researcher cannot control its variables and can report only about the current situation and its occurring.

Example: The widespread contaminated diseases in a specific area of the town. Investigation reveals that there is no trash removal system in that area. A researcher can hypothesise the reason that the improper trash removal system leads to the widespread of contaminated disease.

Analytical Research

In analytical research, a researcher can use the existing data, facts, and knowledge and critically analyses and evaluates the sources and material. It attempts to describe why a specific situation exists.

Example: Impact of video games on teenagers.

Explanatory

Explanatory research is conducted to know why and how two or more variables are interrelated. Researchers usually conduct experiments to know the effect of specific changes among two or more variables.

Example: A study to identify the impact of a nutritious diet on pregnant women.

Exploratory

Exploratory research is conducted to understand the nature of the problem. It does not focus on finding evidence or a conclusion of the problem. It studies the problem to explore the research in-depth and covers such topics which have not been studied before.

Example:  An investigation about the growing crimes against women in India.

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Types of Research According to the Mode of Inquiry

Qualitative research.

Qualitative research  is based on quality, and it looks in-depth at non-numerical data. It enables us to understand the comprehensive details of the problem. The researcher prepares open-ended questions to gather as much information as possible.

• Stress level among men and women.
• The obesity rate among teenagers.

Quantitative Research

Quantitative research is associated with the aspects of measurement, quantity, and extent. It follows the statistical, mathematical, and computational techniques in the form of numerical data such as percentages and statistics. The research is conducted on a large group of population.

• Find out the weight of students of the fifth standard
• Studying in government schools.

Types of Research According to the Research Approach

Longitudinal research.

Researchers collect the information at multiple points in time. Usually, a specific group of participants is selected and examined numerous times at various periods.

Example: If a researcher experiments on a group of women to find out the impact of a low carb diet within six months. The women’s weight and a health check-up will be done multiple times to get the evidence of the study.

Cross-Sectional Research

Cross-sectional research  gathers and compares the information from various groups of the population at the same point. It may not provide the exact reason and relationship between the subjects but gives a broad picture to study multiple groups at the same time.

Example: If a researcher wants to know the number of students studying in a school, he will get to know about the age groups, height, weight, and gender of the students at the same time.

Conceptual Research

It is associated with the concept and theory that describes the hypothesis being studied. It is based on  the inductive  approach of reasoning. It does not follow practical experiments. Philosophers, thinkers, logicians, and theorists use such research to discover new concepts and understand the existing knowledge.

Example: discoveries of Sir Isaac Newton and Einstein.

Empirical Research

It is also known as experimental research, which depends on observation and experience. It is based on the  deductive  approach of reasoning . A researcher focuses on gathering information about the facts, their sources and investigating the existing knowledge. Example: Is intermittent fasting the healthy weight loss option for women?

The researcher can come up with the result that a certain number of women lost their weight, and it improved their health. On the other hand, a certain number of women suffering from low blood pressure and diabetes didn’t lose weight, and they faced negative impacts of intermittent fasting on their health.

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Mixed Methods of Research

When you combine quantitative and qualitative methods of research, the resulting approach becomes mixed methods of research.

Over the last few decades, much of the research in the world of academia has been conducted using mixed methods. Due to its greater legitimacy, this particular technique has gained for several reasons, including the feeling that combining the two types of research can provide holistic and more dependable results.

Here is what mixed methods of research involve:

• Interpreting and investigating the information gathered through quantitative and qualitative techniques.
• There could be more than one stage of research. Depending on the topic of research, occasionally, it would be more appropriate to perform qualitative research in the first stage to figure out and investigate a problem to unveil key themes; and conduct quantitative research in stage two of the process for measuring relationships between the themes.

 Tips for Choosing the Right Type of Research

Choosing the right type of research is essential for producing relevant and actionable insights. The choice depends on your objectives, available resources, and the nature of the problem. Here are some tips to help you make the right decision:

Define your Research Objectives Clearly

• Descriptive Research: To describe the characteristics of certain phenomena.
• Exploratory Research: To explore a problem that hasn’t been studied in depth.
• Explanatory (or Causal) Research: To explain patterns of cause and effect.
• Predictive Research: To forecast future outcomes based on patterns.

Understand the Research Methods

• Quantitative Research: Employs structured data collection (e.g., surveys) to generate statistical data.
• Qualitative Research: Uses unstructured or semi-structured data collection methods (e.g., interviews, observations) to understand behaviour, motivations, etc.

Consider the Time Dimension

• Cross-sectional Studies: Capture data at a single point in time.
• Longitudinal Studies: Collect data over extended periods to observe changes.

Evaluate Available Resources

• Budget: Some research methods, like experimental research, may require more funding.
• Time: Exploratory or ethnographic studies may take longer than surveys.
• Expertise: Ensure you or your team possess the skills needed for your chosen research method.

Consider the Nature of the Problem

Complex problems may require mixed-methods research (a combination of qualitative and quantitative).

Review Existing Literature

Review existing literature before settling on a type to see what methodologies were previously employed for similar questions.

Think about Data Collection

Consider the best method to gather data: surveys, interviews, experiments, observations, etc. Your choice affects the research type.

Ethical Considerations:

Ensure your chosen method abides by ethical standards, especially when human subjects are involved.

Generalisability Vs. Depth

Quantitative methods often allow for generalizability, while qualitative methods provide depth and detail.

Pilot Testing

If unsure, run a pilot study to test your chosen method’s feasibility and utility.

Stay Open to Adaptation

Sometimes, initial research can lead to unforeseen insights or complexities. Be prepared to adjust your approach if needed.

Seek Feedback

Discuss your research approach with colleagues, mentors, or experts in the field. They might offer valuable insights or identify potential pitfalls.

Stay Updated

Research methods evolve. Stay updated with the latest techniques, tools, and best practices in your field.

Frequently Asked Questions

What is research.

Research is a systematic inquiry aimed at discovering, interpreting, and revising knowledge about specific phenomena. It involves formulating hypotheses, collecting data, and analysing results to generate new insights or validate existing theories. Conducted in various fields, research can be empirical, theoretical, or experimental and is fundamental for informed decision-making.

What are the different Types of Research?

Different types of research include:

• Descriptive: Describe and analyze phenomena.
• Experimental: Manipulate variables to establish causation.
• Correlational: Examine relationships between variables.
• Qualitative: Gather insights and understanding.
• Quantitative: Use numerical data for analysis.
• Case study, survey, ethnography, and more.

What is research design?

Research design is a structured blueprint for conducting a study, outlining how data will be collected, analysed, and interpreted. It determines the overall strategy and approach to obtain valid, accurate, and reliable results. Research design encompasses choices about type (e.g., experimental, observational), method (qualitative, quantitative), and data collection procedures.

What is survey?

A survey is a research method used to gather data from a predefined group by asking specific questions. Surveys can be conducted using various mediums, such as face-to-face interviews, phone calls, or online questionnaires. They are valuable for collecting descriptive, quantitative, or qualitative information and gauging public opinion or behaviours.

What is research method?

A research method is a systematic approach used by researchers to gather, analyse, and interpret data relevant to their study. It dictates how information is collected and evaluated to answer specific research questions. Methods can be qualitative, quantitative, or mixed and include techniques like surveys, experiments, case studies, and interviews.

What is exploratory research?

Exploratory research is an initial study designed to clarify and define the nature of a problem. It’s used when researchers have a limited understanding of the topic. Instead of seeking definitive answers, it aims to identify patterns, ideas, or hypotheses. Methods often include literature reviews, qualitative interviews, and observational studies.

What is the purpose of research?

The purpose of research is to discover, interpret, or revise knowledge on specific topics or phenomena. It seeks to answer questions, validate theories, or find solutions to problems. Research enhances understanding, informs decision-making, guides policies, drives innovation, and contributes to academic, scientific, and societal advancement. It’s fundamental for evidence-based practices.

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Inductive and deductive reasoning takes into account assumptions and incidents. Here is all you need to know about inductive vs deductive reasoning.

This article presents the key advantages and disadvantages of secondary research so you can select the most appropriate research approach for your study.

Descriptive research is carried out to describe current issues, programs, and provides information about the issue through surveys and various fact-finding methods.

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What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Why is research methodology important?

Having a good research methodology in place has the following advantages: 3

• Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
• You can easily answer any questions about your research if they arise at a later stage.
• A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
• It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
• A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
• It also helps ensure that ethical guidelines are followed while conducting research.
• A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

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Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

• Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
• Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
• Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

• Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

• Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
• Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
• Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
• Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
• Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
• Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
• Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

• One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
• Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
• Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
• Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

• Sampling: The most common type is probability sampling.
• Interviews: Commonly telephonic or done in-person.
• Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
• Document review: Reviewing existing research or documents to collect evidence for supporting the research.
• Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

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What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

• Measures of frequency (count, percent, frequency)
• Measures of central tendency (mean, median, mode)
• Measures of dispersion or variation (range, variance, standard deviation)
• Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

• Correlation: To understand the relationship between two or more variables.
• Cross-tabulation: Analyze the relationship between multiple variables.
• Regression analysis: Study the impact of independent variables on the dependent variable.
• Frequency tables: To understand the frequency of data.
• Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

• Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
• Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
• Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
• Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
• Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

• Research objectives, aims, and questions —these would help structure the research design.
• Review existing literature to identify any gaps in knowledge.
• Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
• Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
• Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

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How to write a research methodology .

A research methodology should include the following components: 3,9

• Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
• Research method —this can be quantitative, qualitative, or mixed-method.
• Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
• Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
• Sampling —this involves selecting a representative subset of the population being studied.
• Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
• Data analysis —describe the data analysis methods you will use once you’ve collected the data.
• Research limitations —mention any limitations you foresee while conducting your research.
• Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
• Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

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Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

• Research design
• Data collection procedures
• Data analysis methods
• Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

• Participants should not be subjected to harm.
• Respect for the dignity of participants should be prioritized.
• Full consent should be obtained from participants before the study.
• Participants’ privacy should be ensured.
• Confidentiality of the research data should be ensured.
• Anonymity of individuals and organizations participating in the research should be maintained.
• The aims and objectives of the research should not be exaggerated.
• Affiliations, sources of funding, and any possible conflicts of interest should be declared.
• Communication in relation to the research should be honest and transparent.
• Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

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• Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
• Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
• The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
• Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
• What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
• What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
• Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
• Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
• What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
• Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

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Types of Research Papers: Overview

• Types of Research Questions

A research paper is simply a piece of writing that uses outside sources. There are different types of research papers with varying purposes and expectations for sourcing. While this guide explains those differences broadly, disciplines and assignments vary. Ask your professor for clarification on the purpose,  types of appropriate research questions , and expectations of sources for your assignment.

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Audiences are declining for traditional news media in the U.S. – with some exceptions

A declining share of U.S. adults are following the news closely, according to recent Pew Research Center surveys. And audiences are shrinking for several older types of news media – such as local TV stations, most newspapers and public radio – even as they grow for newer platforms like podcasts, as well as for a few specific media brands.

Pew Research Center has long tracked trends in the news industry. In addition to asking survey questions about Americans’ news consumption habits , our State of the News Media project uses several other data sources to look at various aspects of the industry, including audience size, revenue and other metrics.

The data in this analysis comes from a variety of sources as part of Pew Research Center’s State of the News Media fact sheets. The fact sheets use a range of methodologies to study the health of the U.S. news industry, including analysis of industry data and direct reporting to solicit information unavailable elsewhere. All sources are cited in chart and graphic notes or within the text of the fact sheets. Read the methodology .

Pew Research Center is a subsidiary of The Pew Charitable Trusts, its primary funder. This is the latest report in Pew Research Center’s ongoing investigation of the state of news, information and journalism in the digital age, a research program funded by The Pew Charitable Trusts, with generous support from the John S. and James L. Knight Foundation.

The latest data shows a complex picture. Here are some of our key findings:

• For the most part, daily newspaper circulation nationwide – counting digital subscriptions and print circulation – continues to decline, falling to just under 21 million in 2022, according to projections using data from the Alliance for Audited Media (AAM). Weekday circulation is down 8% from the previous year and 32% from five years prior, when it was over 30 million. Out of 136 papers included in this analysis, 120 experienced declines in weekday circulation in 2022.
• While most newspapers in the United States are struggling, some of the biggest brands are experiencing digital growth. AAM data does not include all digital circulation to three of the nation’s most prominent newspapers : The New York Times, The Wall Street Journal and The Washington Post. But while all three are experiencing declines in their print subscriptions, other available data suggests substantial increases in digital subscriptions for The New York Times and The Wall Street Journal. (Similar data is not available for The Washington Post.) For example, The New York Times saw a 32% increase in digital-only subscriptions in 2022, surpassing 10 million subscribers and continuing years of growth, according to filings with the U.S. Securities and Exchange Commission (SEC). There are many reasons this data is not directly comparable with the AAM data, including the fact that some digital subscriptions to The New York Times do not include news and are limited to other products like cooking and games. Still, these brands are bucking the overall trend.
• Overall, digital traffic to newspapers’ websites is declining. The average monthly number of unique visitors to the websites of the country’s top 50 newspapers (based on circulation, and including The New York Times, The Wall Street Journal and The Washington Post) declined 20% to under 9 million in the fourth quarter of 2022, down from over 11 million in the same period in 2021, according to Comscore data. The length of the average visit to these sites is also falling – to just under a minute and a half in the last quarter of 2022.
• Traffic to top digital news websites is not picking up the slack. Overall, traffic to the most visited news websites – those with at least 10 million unique visitors per month in the fourth quarter of a given year – has declined over the past two years. The average number of monthly unique visitors to these sites was 3% lower in October-December 2022 than in the same period in 2021, following a 13% drop the year before that, according to Comscore. The length of the average visit to these sites is getting shorter, too. (These sites can include newspapers’ websites, such as that of The New York Times, as well as other digital news sites like those of CNN, Fox News or Axios.)

• Across several years of data, there has been a drop in audiences for local TV news , affecting morning, evening and late-night time slots alike. For example, the average number of TVs tuning into ABC, CBS, NBC and Fox affiliates for the evening news was just over 3 million in 2022, down from just over 4 million in 2016.
• Audience trends are a little more mixed when it comes to TV news on cable and network stations. Prime-time and daytime audiences for CNN, Fox News and MSNBC all grew in 2020, the first year of the COVID-19 pandemic , before declining in 2021. Fox News’ audiences ticked back up in 2022 , while the audiences for the other two channels continued to decline.
• Audiences for news programming on ABC, CBS and NBC have been relatively stable in recent years, with some variation depending on the time slot. Audiences for evening news are up slightly since 2016 on all three networks, but they are modestly down for morning news.
• The story is mixed when it comes to audio, too. The share of Americans who listen to terrestrial radio has declined in recent years, as has listenership on NPR and PRX . But there has been a clear rise in audiences for podcasts and other types of online audio . Although podcasts often are not news-related, about two-thirds of U.S. podcast listeners say they hear news discussed on the podcasts they listen to.

Economic trends in the news industry

Declines in audience don’t necessarily mean declines in revenue, with some industries faring better than others in 2022. The newspaper industry and network television, for example, saw losses in advertising revenue, while local TV revenue followed typical patterns associated with election years.

Here are some data points on how these media sectors are faring economically, based on data from filings with the SEC, industry tracking companies and other sources:

• Advertising revenue for newspapers has continued to decline steadily. In 2020, projections of circulation revenue surpassed advertising revenue for the first time since at least 1956 (the first year for which data is available), and that pattern has held steady in recent years. The makeup of advertising revenue is changing as well: Nearly half of newspaper companies’ advertising revenue (48%) came from digital advertising in 2022, up from 19% in 2012.
• For local television , advertising revenue has remained roughly stable on the whole, bolstered by increased digital advertising and consistent spikes in political advertising revenue during election years. Political advertising, in particular, has grown over the past decade, increasing from roughly $600 million in the 2012 presidential election year to about $1.9 billion in 2022 (a midterm election year). Local TV stations also have seen increasing revenue from retransmission fees, paid by cable and satellite systems to carry local channels.
• Local public radio station revenue has increased, from roughly $1.1 billion in 2020 to about $1.2 billion in 2021. Revenue for NPR, specifically, increased 8% between 2021 and 2022.

• Revenue trends for cable TV news vary depending on the network. Among the three major cable news networks, Fox News led in both total revenue and net advertising revenue, which increased from 2020 to 2022. CNN and MSNBC saw slight declines over the same period.
• Advertising revenue has generally declined for ABC, CBS and NBC news programming since 2020, in both the morning and evening time slots.
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Michael Lipka is an associate director focusing on news and information research at Pew Research Center

Elisa Shearer is a senior researcher focusing on news and information research at Pew Research Center

How Hispanic Americans Get Their News

Many americans find value in getting news on social media, but concerns about inaccuracy have risen, 5 facts about how americans use facebook, two decades after its launch, social media and news fact sheet, more americans are getting news on tiktok, bucking the trend seen on most other social media sites, most popular.

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Does Collagen Support Hair Growth?

• What Works?
• Types and Application
• Who Should Avoid Collagen?
• Alternatives for Hair Regrowth

Collagen is a structural protein found in tissues in skin, hair, nails, cartilage, bones, and tendons. By working with other substances, such as elastin and hyaluronic acid, collagen helps maintain skin elasticity , volume, and moisture. Collagen also helps make up proteins (such as keratin) that form hair, nails, and skin.

While collagen is needed for healthy hair, there is a lack of non-industry-funded human research supporting the use of collagen supplementation to improve hair growth, thickness, volume, or shine.

Instead, supporting the body's natural ability to produce collagen is recommended. This can be helped through lifestyle habits, including eating a nutritious, balanced diet of protein-rich foods, whole grains, and fruits and vegetables.

This article will discuss collagen protein and hair growth, collagen types and hair application, who should not use collagen for their hair, and alternatives to collagen for hair growth.

Farion_O / Getty Images

Collagen Protein and Hair Growth: What Works?

What research is available.

There is a commercially available food supplement tablet containing hydrolyzed fish-origin collagen (300 mg/dose), taurine, cysteine , methionine , iron, and selenium, marketed for people with hair loss disorders. There is no controlled data showing the efficacy of this product as an addition to specific treatments for hair loss conditions. A 2023 study found that participants given this supplement had a better response to hair treatments than those who received the treatments alone, but the study had several limitations. There was a small and unbalanced sample size. The study was not double-blind (double-blind means that neither the participants nor the researchers know which treatment the individual participants are receiving). The study was short-term, limited to 12 weeks. The study's authors were employees of the company that commercialized the product.

While studies such as these may be a starting point for further research, there is not enough evidence to show collagen supplementation promotes hair growth in humans.

Collagen Types and Hair Application

Collagen supplements and products containing collagen are available. Before using a collagen supplement, look at the ingredient list and protein profile, and avoid supplements with too many additives or fillers.

Topical products containing collagen, such as skin creams and serums, are available, but research backing their efficacy is lacking. Collagen is not naturally found on the skin's surface . Collagen is found in deeper layers, but collagen fibers are too large to permeate the outer skin layers, and peptides (shorter chains of collagen) are unsuccessful.

Supplements

Oral collagen supplements may be sold as pills, powders, or certain foods. They may be in the form of collagen peptides or hydrolyzed collagen, which are forms of collagen that are broken down and more easily absorbed. Collagen supplements contain amino acids (the building blocks of protein). They may also contain additional nutrients such as vitamin C, zinc, or biotin.

There's no guarantee that the collagen you eat directly benefits areas such as skin or joint health , but foods that support collagen production are still generally recommended as part of a health-supporting eating plan. When the stomach digests collagen, it breaks it down into amino acids that are then distributed where your body most needs protein.

Foods that are rich in collagen include:

• Tough cuts of meat full of connective tissue , such as chuck steak, brisket, and pot roast (Note: a high intake of red meat is not recommended as part of a long-term, health-supporting diet)
• Bones and skin of fresh and saltwater fish
• Some bone broths (depending on several factors)

Some foods can help boost collagen production.

Certain high-protein foods may help with collagen production because they contain the amino acids that make collagen (glycine, proline, hydroxyproline ). These include:

Zinc is needed for collagen production and can be found in foods such as:

• Whole grains

Vitamin C , also required for collagen production, can be found in foods including:

• Citrus fruits
• Bell peppers
• Leafy greens

Is Collagen Vegan?

Collagen supplements often contain collagen from many different sources, including:

Should Anyone Not Use Collagen for Their Hair?

People who have gout or other conditions that require them to limit protein intake should avoid collagen supplements.

Other reasons to consider avoiding collagen supplements include:

• The U.S. Food and Drug Administration (FDA) does not review the safety or effectiveness of supplements , so it is unknown exactly what the supplement contains or if it does what it claims to do
• There are concerns about heavy metals in collagen supplements
• Taking a collagen supplement might make you complacent about practicing behaviors that protect against collagen decline (such as stopping smoking, eating well, and getting enough sleep)

Living With Hair Loss

Hair loss is fairly common and may result from hormones , medical conditions, extreme stress, treatments such as chemotherapy, and more. Hair loss can range from thinning to total loss of hair, can be temporary or permanent, and can affect all ages and genders.

Hair loss can have a difficult psychological impact, particularly for women. Some ways to help cope with hair loss include:

• Talk to friends and family : Talk about how you are feeling and what you need
• Get professional help : You may find counseling as an individual, couple, or family to be beneficial
• Join a support group : Talking to others who understand your experience and feelings can make a difference
• Consider head coverings : It's fine not to cover up, but if you choose to, wigs, hair extensions, scarves, and other coverings are available (and stylish!).
• Educate yourself : Make sure you are getting thorough and accurate information about your hair loss in terms of what to expect, what can be done, etc.
• Avoid "miracle cures" : Many products and treatments claim to cure hair loss but don't have the efficacy or proof to back up their claims. Some may even be harmful
• Come to terms with it : While easier said than done, accepting your hair loss is important

Collagen Alternatives for Hair Regrowth 

Supporting your body's natural collagen production is an alternative to taking collagen externally. Collagen production gradually drops as we age, but other factors, such as certain lifestyle habits, can prompt production to drop more quickly.

Some tips to help protect your body's natural collagen include:

• Eat a health-supporting and balanced diet, including protein-rich foods
• Protect yourself from the sun, including limiting your time in direct sunlight, wearing UV-protecting hats and clothing, and wearing sunscreen
• Get enough good quality sleep (typically seven to nine hours a night)
• Avoid smoking, including exposure to secondhand smoke
• Manage stress
• Avoid or limit alcohol

Treatment for hair loss depends on its cause . Talk to your healthcare provider before trying any treatment to ensure it is right for you and your cause of hair loss. Some established treatments for varying hair loss causes include:

• Treating an underlying infection, if present (such as medications for a fungal scalp infection)
• Addressing known triggers of hair loss, such as medications causing hair loss
• Cortisone creams, lotions, or injections
• Phototherapy
• Medications that suppress the immune system (in extreme cases of alopecia areata )
• Minoxidil (brand name Rogaine, generic versions are available), a topical medication
• Anti-androgen medications
• Iron supplements, if iron deficiency is present
• Hair transplantation, a surgical procedure
• Oral finasteride (brand names Propecia, Proscar)

Treatment for hair loss is not always necessary. Some hair loss is temporary and will resolve on its own. If an infection or another underlying condition that requires medical attention isn't present, and your hair loss isn't bothering you, you may choose to avoid treatment altogether.

Currently, no credible evidence supports the use of collagen for hair growth in humans. Studies on the effect of collagen supplementation on hair growth tend to be in vitro, on animals, or poor quality.

Supporting your body's natural collagen production through eating foods that help with collagen production, getting enough sleep, protecting yourself from the sun, and avoiding smoking may be a better option than supplementation.

If you are concerned about hair loss, talk to your healthcare provider about established treatment options.

Harvard Health. Considering collagen drinks and supplements?

Harvard T.H. Chan School of Public Health. Collagen .

Hwang SB, Park HJ, Lee BH. Hair-growth-promoting effects of the fish collagen peptide in human dermal papilla cells and c57bl/6 mice modulating wnt/β-catenin and bmp signaling pathways . IJMS . 2022;23(19):11904. doi:10.3390/ijms231911904

Milani M, Colombo F, GFM‐O‐Trial Investigators Group. Efficacy and tolerability of an oral supplement containing amino acids, iron, selenium, and marine hydrolyzed collagen in subjects with hair loss (Androgenetic alopecia, aga or faga or telogen effluvium). A prospective, randomized, 3‐month, controlled, assessor‐blinded study . Skin Research and Technology. 2023;29(6):e13381, doi:10.1111/srt.13381

National Health Service. Women and hair loss: coping tips .

Harvard Health. Hair loss .

Healthdirect. Alopecia (hair loss) .

Harvard Health. Treating female pattern hair loss .

By Heather Jones Jones is a freelance writer with a strong focus on health, parenting, disability, and feminism.