empirical research characteristics

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case AskWhy Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research

Empirical Research: Definition, Methods, Types and Examples

Content Index

Empirical research: Definition

Empirical research: origin, quantitative research methods, qualitative research methods, steps for conducting empirical research, empirical research methodology cycle, advantages of empirical research, disadvantages of empirical research, why is there a need for empirical research.

Empirical research is defined as any research where conclusions of the study is strictly drawn from concretely empirical evidence, and therefore “verifiable” evidence.

This empirical evidence can be gathered using quantitative market research and  qualitative market research  methods.

For example: A research is being conducted to find out if listening to happy music in the workplace while working may promote creativity? An experiment is conducted by using a music website survey on a set of audience who are exposed to happy music and another set who are not listening to music at all, and the subjects are then observed. The results derived from such a research will give empirical evidence if it does promote creativity or not.

LEARN ABOUT: Behavioral Research

You must have heard the quote” I will not believe it unless I see it”. This came from the ancient empiricists, a fundamental understanding that powered the emergence of medieval science during the renaissance period and laid the foundation of modern science, as we know it today. The word itself has its roots in greek. It is derived from the greek word empeirikos which means “experienced”.

In today’s world, the word empirical refers to collection of data using evidence that is collected through observation or experience or by using calibrated scientific instruments. All of the above origins have one thing in common which is dependence of observation and experiments to collect data and test them to come up with conclusions.

LEARN ABOUT: Causal Research

Types and methodologies of empirical research

Empirical research can be conducted and analysed using qualitative or quantitative methods.

• Quantitative research : Quantitative research methods are used to gather information through numerical data. It is used to quantify opinions, behaviors or other defined variables . These are predetermined and are in a more structured format. Some of the commonly used methods are survey, longitudinal studies, polls, etc
• Qualitative research:   Qualitative research methods are used to gather non numerical data.  It is used to find meanings, opinions, or the underlying reasons from its subjects. These methods are unstructured or semi structured. The sample size for such a research is usually small and it is a conversational type of method to provide more insight or in-depth information about the problem Some of the most popular forms of methods are focus groups, experiments, interviews, etc.

Data collected from these will need to be analysed. Empirical evidence can also be analysed either quantitatively and qualitatively. Using this, the researcher can answer empirical questions which have to be clearly defined and answerable with the findings he has got. The type of research design used will vary depending on the field in which it is going to be used. Many of them might choose to do a collective research involving quantitative and qualitative method to better answer questions which cannot be studied in a laboratory setting.

LEARN ABOUT: Qualitative Research Questions and Questionnaires

Quantitative research methods aid in analyzing the empirical evidence gathered. By using these a researcher can find out if his hypothesis is supported or not.

• Survey research: Survey research generally involves a large audience to collect a large amount of data. This is a quantitative method having a predetermined set of closed questions which are pretty easy to answer. Because of the simplicity of such a method, high responses are achieved. It is one of the most commonly used methods for all kinds of research in today’s world.

Previously, surveys were taken face to face only with maybe a recorder. However, with advancement in technology and for ease, new mediums such as emails , or social media have emerged.

For example: Depletion of energy resources is a growing concern and hence there is a need for awareness about renewable energy. According to recent studies, fossil fuels still account for around 80% of energy consumption in the United States. Even though there is a rise in the use of green energy every year, there are certain parameters because of which the general population is still not opting for green energy. In order to understand why, a survey can be conducted to gather opinions of the general population about green energy and the factors that influence their choice of switching to renewable energy. Such a survey can help institutions or governing bodies to promote appropriate awareness and incentive schemes to push the use of greener energy.

Learn more: Renewable Energy Survey Template Descriptive Research vs Correlational Research

• Experimental research: In experimental research , an experiment is set up and a hypothesis is tested by creating a situation in which one of the variable is manipulated. This is also used to check cause and effect. It is tested to see what happens to the independent variable if the other one is removed or altered. The process for such a method is usually proposing a hypothesis, experimenting on it, analyzing the findings and reporting the findings to understand if it supports the theory or not.

For example: A particular product company is trying to find what is the reason for them to not be able to capture the market. So the organisation makes changes in each one of the processes like manufacturing, marketing, sales and operations. Through the experiment they understand that sales training directly impacts the market coverage for their product. If the person is trained well, then the product will have better coverage.

• Correlational research: Correlational research is used to find relation between two set of variables . Regression analysis is generally used to predict outcomes of such a method. It can be positive, negative or neutral correlation.

LEARN ABOUT: Level of Analysis

For example: Higher educated individuals will get higher paying jobs. This means higher education enables the individual to high paying job and less education will lead to lower paying jobs.

• Longitudinal study: Longitudinal study is used to understand the traits or behavior of a subject under observation after repeatedly testing the subject over a period of time. Data collected from such a method can be qualitative or quantitative in nature.

For example: A research to find out benefits of exercise. The target is asked to exercise everyday for a particular period of time and the results show higher endurance, stamina, and muscle growth. This supports the fact that exercise benefits an individual body.

• Cross sectional: Cross sectional study is an observational type of method, in which a set of audience is observed at a given point in time. In this type, the set of people are chosen in a fashion which depicts similarity in all the variables except the one which is being researched. This type does not enable the researcher to establish a cause and effect relationship as it is not observed for a continuous time period. It is majorly used by healthcare sector or the retail industry.

For example: A medical study to find the prevalence of under-nutrition disorders in kids of a given population. This will involve looking at a wide range of parameters like age, ethnicity, location, incomes  and social backgrounds. If a significant number of kids coming from poor families show under-nutrition disorders, the researcher can further investigate into it. Usually a cross sectional study is followed by a longitudinal study to find out the exact reason.

• Causal-Comparative research : This method is based on comparison. It is mainly used to find out cause-effect relationship between two variables or even multiple variables.

For example: A researcher measured the productivity of employees in a company which gave breaks to the employees during work and compared that to the employees of the company which did not give breaks at all.

LEARN ABOUT: Action Research

Some research questions need to be analysed qualitatively, as quantitative methods are not applicable there. In many cases, in-depth information is needed or a researcher may need to observe a target audience behavior, hence the results needed are in a descriptive analysis form. Qualitative research results will be descriptive rather than predictive. It enables the researcher to build or support theories for future potential quantitative research. In such a situation qualitative research methods are used to derive a conclusion to support the theory or hypothesis being studied.

LEARN ABOUT: Qualitative Interview

• Case study: Case study method is used to find more information through carefully analyzing existing cases. It is very often used for business research or to gather empirical evidence for investigation purpose. It is a method to investigate a problem within its real life context through existing cases. The researcher has to carefully analyse making sure the parameter and variables in the existing case are the same as to the case that is being investigated. Using the findings from the case study, conclusions can be drawn regarding the topic that is being studied.

For example: A report mentioning the solution provided by a company to its client. The challenges they faced during initiation and deployment, the findings of the case and solutions they offered for the problems. Such case studies are used by most companies as it forms an empirical evidence for the company to promote in order to get more business.

• Observational method:   Observational method is a process to observe and gather data from its target. Since it is a qualitative method it is time consuming and very personal. It can be said that observational research method is a part of ethnographic research which is also used to gather empirical evidence. This is usually a qualitative form of research, however in some cases it can be quantitative as well depending on what is being studied.

For example: setting up a research to observe a particular animal in the rain-forests of amazon. Such a research usually take a lot of time as observation has to be done for a set amount of time to study patterns or behavior of the subject. Another example used widely nowadays is to observe people shopping in a mall to figure out buying behavior of consumers.

• One-on-one interview: Such a method is purely qualitative and one of the most widely used. The reason being it enables a researcher get precise meaningful data if the right questions are asked. It is a conversational method where in-depth data can be gathered depending on where the conversation leads.

For example: A one-on-one interview with the finance minister to gather data on financial policies of the country and its implications on the public.

• Focus groups: Focus groups are used when a researcher wants to find answers to why, what and how questions. A small group is generally chosen for such a method and it is not necessary to interact with the group in person. A moderator is generally needed in case the group is being addressed in person. This is widely used by product companies to collect data about their brands and the product.

For example: A mobile phone manufacturer wanting to have a feedback on the dimensions of one of their models which is yet to be launched. Such studies help the company meet the demand of the customer and position their model appropriately in the market.

• Text analysis: Text analysis method is a little new compared to the other types. Such a method is used to analyse social life by going through images or words used by the individual. In today’s world, with social media playing a major part of everyone’s life, such a method enables the research to follow the pattern that relates to his study.

For example: A lot of companies ask for feedback from the customer in detail mentioning how satisfied are they with their customer support team. Such data enables the researcher to take appropriate decisions to make their support team better.

Sometimes a combination of the methods is also needed for some questions that cannot be answered using only one type of method especially when a researcher needs to gain a complete understanding of complex subject matter.

We recently published a blog that talks about examples of qualitative data in education ; why don’t you check it out for more ideas?

Learn More: Data Collection Methods: Types & Examples

Since empirical research is based on observation and capturing experiences, it is important to plan the steps to conduct the experiment and how to analyse it. This will enable the researcher to resolve problems or obstacles which can occur during the experiment.

Step #1: Define the purpose of the research

This is the step where the researcher has to answer questions like what exactly do I want to find out? What is the problem statement? Are there any issues in terms of the availability of knowledge, data, time or resources. Will this research be more beneficial than what it will cost.

Before going ahead, a researcher has to clearly define his purpose for the research and set up a plan to carry out further tasks.

Step #2 : Supporting theories and relevant literature

The researcher needs to find out if there are theories which can be linked to his research problem . He has to figure out if any theory can help him support his findings. All kind of relevant literature will help the researcher to find if there are others who have researched this before, or what are the problems faced during this research. The researcher will also have to set up assumptions and also find out if there is any history regarding his research problem

Step #3: Creation of Hypothesis and measurement

Before beginning the actual research he needs to provide himself a working hypothesis or guess what will be the probable result. Researcher has to set up variables, decide the environment for the research and find out how can he relate between the variables.

Researcher will also need to define the units of measurements, tolerable degree for errors, and find out if the measurement chosen will be acceptable by others.

Step #4: Methodology, research design and data collection

In this step, the researcher has to define a strategy for conducting his research. He has to set up experiments to collect data which will enable him to propose the hypothesis. The researcher will decide whether he will need experimental or non experimental method for conducting the research. The type of research design will vary depending on the field in which the research is being conducted. Last but not the least, the researcher will have to find out parameters that will affect the validity of the research design. Data collection will need to be done by choosing appropriate samples depending on the research question. To carry out the research, he can use one of the many sampling techniques. Once data collection is complete, researcher will have empirical data which needs to be analysed.

LEARN ABOUT: Best Data Collection Tools

Step #5: Data Analysis and result

Data analysis can be done in two ways, qualitatively and quantitatively. Researcher will need to find out what qualitative method or quantitative method will be needed or will he need a combination of both. Depending on the unit of analysis of his data, he will know if his hypothesis is supported or rejected. Analyzing this data is the most important part to support his hypothesis.

Step #6: Conclusion

A report will need to be made with the findings of the research. The researcher can give the theories and literature that support his research. He can make suggestions or recommendations for further research on his topic.

A.D. de Groot, a famous dutch psychologist and a chess expert conducted some of the most notable experiments using chess in the 1940’s. During his study, he came up with a cycle which is consistent and now widely used to conduct empirical research. It consists of 5 phases with each phase being as important as the next one. The empirical cycle captures the process of coming up with hypothesis about how certain subjects work or behave and then testing these hypothesis against empirical data in a systematic and rigorous approach. It can be said that it characterizes the deductive approach to science. Following is the empirical cycle.

• Observation: At this phase an idea is sparked for proposing a hypothesis. During this phase empirical data is gathered using observation. For example: a particular species of flower bloom in a different color only during a specific season.
• Induction: Inductive reasoning is then carried out to form a general conclusion from the data gathered through observation. For example: As stated above it is observed that the species of flower blooms in a different color during a specific season. A researcher may ask a question “does the temperature in the season cause the color change in the flower?” He can assume that is the case, however it is a mere conjecture and hence an experiment needs to be set up to support this hypothesis. So he tags a few set of flowers kept at a different temperature and observes if they still change the color?
• Deduction: This phase helps the researcher to deduce a conclusion out of his experiment. This has to be based on logic and rationality to come up with specific unbiased results.For example: In the experiment, if the tagged flowers in a different temperature environment do not change the color then it can be concluded that temperature plays a role in changing the color of the bloom.
• Testing: This phase involves the researcher to return to empirical methods to put his hypothesis to the test. The researcher now needs to make sense of his data and hence needs to use statistical analysis plans to determine the temperature and bloom color relationship. If the researcher finds out that most flowers bloom a different color when exposed to the certain temperature and the others do not when the temperature is different, he has found support to his hypothesis. Please note this not proof but just a support to his hypothesis.
• Evaluation: This phase is generally forgotten by most but is an important one to keep gaining knowledge. During this phase the researcher puts forth the data he has collected, the support argument and his conclusion. The researcher also states the limitations for the experiment and his hypothesis and suggests tips for others to pick it up and continue a more in-depth research for others in the future. LEARN MORE: Population vs Sample

LEARN MORE: Population vs Sample

There is a reason why empirical research is one of the most widely used method. There are a few advantages associated with it. Following are a few of them.

• It is used to authenticate traditional research through various experiments and observations.
• This research methodology makes the research being conducted more competent and authentic.
• It enables a researcher understand the dynamic changes that can happen and change his strategy accordingly.
• The level of control in such a research is high so the researcher can control multiple variables.
• It plays a vital role in increasing internal validity .

Even though empirical research makes the research more competent and authentic, it does have a few disadvantages. Following are a few of them.

• Such a research needs patience as it can be very time consuming. The researcher has to collect data from multiple sources and the parameters involved are quite a few, which will lead to a time consuming research.
• Most of the time, a researcher will need to conduct research at different locations or in different environments, this can lead to an expensive affair.
• There are a few rules in which experiments can be performed and hence permissions are needed. Many a times, it is very difficult to get certain permissions to carry out different methods of this research.
• Collection of data can be a problem sometimes, as it has to be collected from a variety of sources through different methods.

LEARN ABOUT:  Social Communication Questionnaire

Empirical research is important in today’s world because most people believe in something only that they can see, hear or experience. It is used to validate multiple hypothesis and increase human knowledge and continue doing it to keep advancing in various fields.

For example: Pharmaceutical companies use empirical research to try out a specific drug on controlled groups or random groups to study the effect and cause. This way, they prove certain theories they had proposed for the specific drug. Such research is very important as sometimes it can lead to finding a cure for a disease that has existed for many years. It is useful in science and many other fields like history, social sciences, business, etc.

LEARN ABOUT: 12 Best Tools for Researchers

With the advancement in today’s world, empirical research has become critical and a norm in many fields to support their hypothesis and gain more knowledge. The methods mentioned above are very useful for carrying out such research. However, a number of new methods will keep coming up as the nature of new investigative questions keeps getting unique or changing.

Create a single source of real data with a built-for-insights platform. Store past data, add nuggets of insights, and import research data from various sources into a CRM for insights. Build on ever-growing research with a real-time dashboard in a unified research management platform to turn insights into knowledge.

LEARN MORE         FREE TRIAL

MORE LIKE THIS

Participant Engagement: Strategies + Improving Interaction

Sep 12, 2024

Employee Recognition Programs: A Complete Guide

Sep 11, 2024

A guide to conducting agile qualitative research for rapid insights with Digsite 

Cultural Insights: What it is, Importance + How to Collect?

Sep 10, 2024

Other categories

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Survey Templates
• Training Tips
• Tuesday CX Thoughts (TCXT)
• Uncategorized
• What’s Coming Up
• Workforce Intelligence

Penn State University Libraries

Empirical research in the social sciences and education.

• What is Empirical Research and How to Read It
• Finding Empirical Research in Library Databases
• Designing Empirical Research
• Ethics, Cultural Responsiveness, and Anti-Racism in Research
• Citing, Writing, and Presenting Your Work

Contact the Librarian at your campus for more help!

Introduction: What is Empirical Research?

Empirical research is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief. 

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology."  Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions to be answered
• Definition of the population, behavior, or phenomena being studied
• Description of the process used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format, to communicate empirical research findings. Such articles typically have 4 components:

• Introduction: sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology: sometimes called "research design" -- how to recreate the study -- usually describes the population, research process, and analytical tools used in the present study
• Results: sometimes called "findings" -- what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion: sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies

Reading and Evaluating Scholarly Materials

Reading research can be a challenge. However, the tutorials and videos below can help. They explain what scholarly articles look like, how to read them, and how to evaluate them:

• CRAAP Checklist A frequently-used checklist that helps you examine the currency, relevance, authority, accuracy, and purpose of an information source.
• IF I APPLY A newer model of evaluating sources which encourages you to think about your own biases as a reader, as well as concerns about the item you are reading.
• Credo Video: How to Read Scholarly Materials (4 min.)
• Credo Tutorial: How to Read Scholarly Materials
• Credo Tutorial: Evaluating Information
• Credo Video: Evaluating Statistics (4 min.)
• Credo Tutorial: Evaluating for Diverse Points of View
• Next: Finding Empirical Research in Library Databases >>
• Last Updated: Aug 13, 2024 3:16 PM
• URL: https://guides.libraries.psu.edu/emp

What is Empirical Research? Definition, Methods, Examples

Appinio Research · 09.02.2024 · 36min read

Ever wondered how we gather the facts, unveil hidden truths, and make informed decisions in a world filled with questions? Empirical research holds the key.

In this guide, we'll delve deep into the art and science of empirical research, unraveling its methods, mysteries, and manifold applications. From defining the core principles to mastering data analysis and reporting findings, we're here to equip you with the knowledge and tools to navigate the empirical landscape.

What is Empirical Research?

Empirical research is the cornerstone of scientific inquiry, providing a systematic and structured approach to investigating the world around us. It is the process of gathering and analyzing empirical or observable data to test hypotheses, answer research questions, or gain insights into various phenomena. This form of research relies on evidence derived from direct observation or experimentation, allowing researchers to draw conclusions based on real-world data rather than purely theoretical or speculative reasoning.

Characteristics of Empirical Research

Empirical research is characterized by several key features:

• Observation and Measurement : It involves the systematic observation or measurement of variables, events, or behaviors.
• Data Collection : Researchers collect data through various methods, such as surveys, experiments, observations, or interviews.
• Testable Hypotheses : Empirical research often starts with testable hypotheses that are evaluated using collected data.
• Quantitative or Qualitative Data : Data can be quantitative (numerical) or qualitative (non-numerical), depending on the research design.
• Statistical Analysis : Quantitative data often undergo statistical analysis to determine patterns , relationships, or significance.
• Objectivity and Replicability : Empirical research strives for objectivity, minimizing researcher bias . It should be replicable, allowing other researchers to conduct the same study to verify results.
• Conclusions and Generalizations : Empirical research generates findings based on data and aims to make generalizations about larger populations or phenomena.

Importance of Empirical Research

Empirical research plays a pivotal role in advancing knowledge across various disciplines. Its importance extends to academia, industry, and society as a whole. Here are several reasons why empirical research is essential:

• Evidence-Based Knowledge : Empirical research provides a solid foundation of evidence-based knowledge. It enables us to test hypotheses, confirm or refute theories, and build a robust understanding of the world.
• Scientific Progress : In the scientific community, empirical research fuels progress by expanding the boundaries of existing knowledge. It contributes to the development of theories and the formulation of new research questions.
• Problem Solving : Empirical research is instrumental in addressing real-world problems and challenges. It offers insights and data-driven solutions to complex issues in fields like healthcare, economics, and environmental science.
• Informed Decision-Making : In policymaking, business, and healthcare, empirical research informs decision-makers by providing data-driven insights. It guides strategies, investments, and policies for optimal outcomes.
• Quality Assurance : Empirical research is essential for quality assurance and validation in various industries, including pharmaceuticals, manufacturing, and technology. It ensures that products and processes meet established standards.
• Continuous Improvement : Businesses and organizations use empirical research to evaluate performance, customer satisfaction , and product effectiveness. This data-driven approach fosters continuous improvement and innovation.
• Human Advancement : Empirical research in fields like medicine and psychology contributes to the betterment of human health and well-being. It leads to medical breakthroughs, improved therapies, and enhanced psychological interventions.
• Critical Thinking and Problem Solving : Engaging in empirical research fosters critical thinking skills, problem-solving abilities, and a deep appreciation for evidence-based decision-making.

Empirical research empowers us to explore, understand, and improve the world around us. It forms the bedrock of scientific inquiry and drives progress in countless domains, shaping our understanding of both the natural and social sciences.

How to Conduct Empirical Research?

So, you've decided to dive into the world of empirical research. Let's begin by exploring the crucial steps involved in getting started with your research project.

1. Select a Research Topic

Selecting the right research topic is the cornerstone of a successful empirical study. It's essential to choose a topic that not only piques your interest but also aligns with your research goals and objectives. Here's how to go about it:

• Identify Your Interests : Start by reflecting on your passions and interests. What topics fascinate you the most? Your enthusiasm will be your driving force throughout the research process.
• Brainstorm Ideas : Engage in brainstorming sessions to generate potential research topics. Consider the questions you've always wanted to answer or the issues that intrigue you.
• Relevance and Significance : Assess the relevance and significance of your chosen topic. Does it contribute to existing knowledge? Is it a pressing issue in your field of study or the broader community?
• Feasibility : Evaluate the feasibility of your research topic. Do you have access to the necessary resources, data, and participants (if applicable)?

2. Formulate Research Questions

Once you've narrowed down your research topic, the next step is to formulate clear and precise research questions . These questions will guide your entire research process and shape your study's direction. To create effective research questions:

• Specificity : Ensure that your research questions are specific and focused. Vague or overly broad questions can lead to inconclusive results.
• Relevance : Your research questions should directly relate to your chosen topic. They should address gaps in knowledge or contribute to solving a particular problem.
• Testability : Ensure that your questions are testable through empirical methods. You should be able to gather data and analyze it to answer these questions.
• Avoid Bias : Craft your questions in a way that avoids leading or biased language. Maintain neutrality to uphold the integrity of your research.

3. Review Existing Literature

Before you embark on your empirical research journey, it's essential to immerse yourself in the existing body of literature related to your chosen topic. This step, often referred to as a literature review, serves several purposes:

• Contextualization : Understand the historical context and current state of research in your field. What have previous studies found, and what questions remain unanswered?
• Identifying Gaps : Identify gaps or areas where existing research falls short. These gaps will help you formulate meaningful research questions and hypotheses.
• Theory Development : If your study is theoretical, consider how existing theories apply to your topic. If it's empirical, understand how previous studies have approached data collection and analysis.
• Methodological Insights : Learn from the methodologies employed in previous research. What methods were successful, and what challenges did researchers face?

4. Define Variables

Variables are fundamental components of empirical research. They are the factors or characteristics that can change or be manipulated during your study. Properly defining and categorizing variables is crucial for the clarity and validity of your research. Here's what you need to know:

• Independent Variables : These are the variables that you, as the researcher, manipulate or control. They are the "cause" in cause-and-effect relationships.
• Dependent Variables : Dependent variables are the outcomes or responses that you measure or observe. They are the "effect" influenced by changes in independent variables.
• Operational Definitions : To ensure consistency and clarity, provide operational definitions for your variables. Specify how you will measure or manipulate each variable.
• Control Variables : In some studies, controlling for other variables that may influence your dependent variable is essential. These are known as control variables.

Understanding these foundational aspects of empirical research will set a solid foundation for the rest of your journey. Now that you've grasped the essentials of getting started, let's delve deeper into the intricacies of research design.

Empirical Research Design

Now that you've selected your research topic, formulated research questions, and defined your variables, it's time to delve into the heart of your empirical research journey – research design . This pivotal step determines how you will collect data and what methods you'll employ to answer your research questions. Let's explore the various facets of research design in detail.

Types of Empirical Research

Empirical research can take on several forms, each with its own unique approach and methodologies. Understanding the different types of empirical research will help you choose the most suitable design for your study. Here are some common types:

• Experimental Research : In this type, researchers manipulate one or more independent variables to observe their impact on dependent variables. It's highly controlled and often conducted in a laboratory setting.
• Observational Research : Observational research involves the systematic observation of subjects or phenomena without intervention. Researchers are passive observers, documenting behaviors, events, or patterns.
• Survey Research : Surveys are used to collect data through structured questionnaires or interviews. This method is efficient for gathering information from a large number of participants.
• Case Study Research : Case studies focus on in-depth exploration of one or a few cases. Researchers gather detailed information through various sources such as interviews, documents, and observations.
• Qualitative Research : Qualitative research aims to understand behaviors, experiences, and opinions in depth. It often involves open-ended questions, interviews, and thematic analysis.
• Quantitative Research : Quantitative research collects numerical data and relies on statistical analysis to draw conclusions. It involves structured questionnaires, experiments, and surveys.

Your choice of research type should align with your research questions and objectives. Experimental research, for example, is ideal for testing cause-and-effect relationships, while qualitative research is more suitable for exploring complex phenomena.

Experimental Design

Experimental research is a systematic approach to studying causal relationships. It's characterized by the manipulation of one or more independent variables while controlling for other factors. Here are some key aspects of experimental design:

• Control and Experimental Groups : Participants are randomly assigned to either a control group or an experimental group. The independent variable is manipulated for the experimental group but not for the control group.
• Randomization : Randomization is crucial to eliminate bias in group assignment. It ensures that each participant has an equal chance of being in either group.
• Hypothesis Testing : Experimental research often involves hypothesis testing. Researchers formulate hypotheses about the expected effects of the independent variable and use statistical analysis to test these hypotheses.

Observational Design

Observational research entails careful and systematic observation of subjects or phenomena. It's advantageous when you want to understand natural behaviors or events. Key aspects of observational design include:

• Participant Observation : Researchers immerse themselves in the environment they are studying. They become part of the group being observed, allowing for a deep understanding of behaviors.
• Non-Participant Observation : In non-participant observation, researchers remain separate from the subjects. They observe and document behaviors without direct involvement.
• Data Collection Methods : Observational research can involve various data collection methods, such as field notes, video recordings, photographs, or coding of observed behaviors.

Survey Design

Surveys are a popular choice for collecting data from a large number of participants. Effective survey design is essential to ensure the validity and reliability of your data. Consider the following:

• Questionnaire Design : Create clear and concise questions that are easy for participants to understand. Avoid leading or biased questions.
• Sampling Methods : Decide on the appropriate sampling method for your study, whether it's random, stratified, or convenience sampling.
• Data Collection Tools : Choose the right tools for data collection, whether it's paper surveys, online questionnaires, or face-to-face interviews.

Case Study Design

Case studies are an in-depth exploration of one or a few cases to gain a deep understanding of a particular phenomenon. Key aspects of case study design include:

• Single Case vs. Multiple Case Studies : Decide whether you'll focus on a single case or multiple cases. Single case studies are intensive and allow for detailed examination, while multiple case studies provide comparative insights.
• Data Collection Methods : Gather data through interviews, observations, document analysis, or a combination of these methods.

Qualitative vs. Quantitative Research

In empirical research, you'll often encounter the distinction between qualitative and quantitative research . Here's a closer look at these two approaches:

• Qualitative Research : Qualitative research seeks an in-depth understanding of human behavior, experiences, and perspectives. It involves open-ended questions, interviews, and the analysis of textual or narrative data. Qualitative research is exploratory and often used when the research question is complex and requires a nuanced understanding.
• Quantitative Research : Quantitative research collects numerical data and employs statistical analysis to draw conclusions. It involves structured questionnaires, experiments, and surveys. Quantitative research is ideal for testing hypotheses and establishing cause-and-effect relationships.

Understanding the various research design options is crucial in determining the most appropriate approach for your study. Your choice should align with your research questions, objectives, and the nature of the phenomenon you're investigating.

Data Collection for Empirical Research

Now that you've established your research design, it's time to roll up your sleeves and collect the data that will fuel your empirical research. Effective data collection is essential for obtaining accurate and reliable results.

Sampling Methods

Sampling methods are critical in empirical research, as they determine the subset of individuals or elements from your target population that you will study. Here are some standard sampling methods:

• Random Sampling : Random sampling ensures that every member of the population has an equal chance of being selected. It minimizes bias and is often used in quantitative research.
• Stratified Sampling : Stratified sampling involves dividing the population into subgroups or strata based on specific characteristics (e.g., age, gender, location). Samples are then randomly selected from each stratum, ensuring representation of all subgroups.
• Convenience Sampling : Convenience sampling involves selecting participants who are readily available or easily accessible. While it's convenient, it may introduce bias and limit the generalizability of results.
• Snowball Sampling : Snowball sampling is instrumental when studying hard-to-reach or hidden populations. One participant leads you to another, creating a "snowball" effect. This method is common in qualitative research.
• Purposive Sampling : In purposive sampling, researchers deliberately select participants who meet specific criteria relevant to their research questions. It's often used in qualitative studies to gather in-depth information.

The choice of sampling method depends on the nature of your research, available resources, and the degree of precision required. It's crucial to carefully consider your sampling strategy to ensure that your sample accurately represents your target population.

Data Collection Instruments

Data collection instruments are the tools you use to gather information from your participants or sources. These instruments should be designed to capture the data you need accurately. Here are some popular data collection instruments:

• Questionnaires : Questionnaires consist of structured questions with predefined response options. When designing questionnaires, consider the clarity of questions, the order of questions, and the response format (e.g., Likert scale , multiple-choice).
• Interviews : Interviews involve direct communication between the researcher and participants. They can be structured (with predetermined questions) or unstructured (open-ended). Effective interviews require active listening and probing for deeper insights.
• Observations : Observations entail systematically and objectively recording behaviors, events, or phenomena. Researchers must establish clear criteria for what to observe, how to record observations, and when to observe.
• Surveys : Surveys are a common data collection instrument for quantitative research. They can be administered through various means, including online surveys, paper surveys, and telephone surveys.
• Documents and Archives : In some cases, data may be collected from existing documents, records, or archives. Ensure that the sources are reliable, relevant, and properly documented.

To streamline your process and gather insights with precision and efficiency, consider leveraging innovative tools like Appinio . With Appinio's intuitive platform, you can harness the power of real-time consumer data to inform your research decisions effectively. Whether you're conducting surveys, interviews, or observations, Appinio empowers you to define your target audience, collect data from diverse demographics, and analyze results seamlessly.

By incorporating Appinio into your data collection toolkit, you can unlock a world of possibilities and elevate the impact of your empirical research. Ready to revolutionize your approach to data collection?

Book a Demo

Data Collection Procedures

Data collection procedures outline the step-by-step process for gathering data. These procedures should be meticulously planned and executed to maintain the integrity of your research.

• Training : If you have a research team, ensure that they are trained in data collection methods and protocols. Consistency in data collection is crucial.
• Pilot Testing : Before launching your data collection, conduct a pilot test with a small group to identify any potential problems with your instruments or procedures. Make necessary adjustments based on feedback.
• Data Recording : Establish a systematic method for recording data. This may include timestamps, codes, or identifiers for each data point.
• Data Security : Safeguard the confidentiality and security of collected data. Ensure that only authorized individuals have access to the data.
• Data Storage : Properly organize and store your data in a secure location, whether in physical or digital form. Back up data to prevent loss.

Ethical Considerations

Ethical considerations are paramount in empirical research, as they ensure the well-being and rights of participants are protected.

• Informed Consent : Obtain informed consent from participants, providing clear information about the research purpose, procedures, risks, and their right to withdraw at any time.
• Privacy and Confidentiality : Protect the privacy and confidentiality of participants. Ensure that data is anonymized and sensitive information is kept confidential.
• Beneficence : Ensure that your research benefits participants and society while minimizing harm. Consider the potential risks and benefits of your study.
• Honesty and Integrity : Conduct research with honesty and integrity. Report findings accurately and transparently, even if they are not what you expected.
• Respect for Participants : Treat participants with respect, dignity, and sensitivity to cultural differences. Avoid any form of coercion or manipulation.
• Institutional Review Board (IRB) : If required, seek approval from an IRB or ethics committee before conducting your research, particularly when working with human participants.

Adhering to ethical guidelines is not only essential for the ethical conduct of research but also crucial for the credibility and validity of your study. Ethical research practices build trust between researchers and participants and contribute to the advancement of knowledge with integrity.

With a solid understanding of data collection, including sampling methods, instruments, procedures, and ethical considerations, you are now well-equipped to gather the data needed to answer your research questions.

Empirical Research Data Analysis

Now comes the exciting phase of data analysis, where the raw data you've diligently collected starts to yield insights and answers to your research questions. We will explore the various aspects of data analysis, from preparing your data to drawing meaningful conclusions through statistics and visualization.

Data Preparation

Data preparation is the crucial first step in data analysis. It involves cleaning, organizing, and transforming your raw data into a format that is ready for analysis. Effective data preparation ensures the accuracy and reliability of your results.

• Data Cleaning : Identify and rectify errors, missing values, and inconsistencies in your dataset. This may involve correcting typos, removing outliers, and imputing missing data.
• Data Coding : Assign numerical values or codes to categorical variables to make them suitable for statistical analysis. For example, converting "Yes" and "No" to 1 and 0.
• Data Transformation : Transform variables as needed to meet the assumptions of the statistical tests you plan to use. Common transformations include logarithmic or square root transformations.
• Data Integration : If your data comes from multiple sources, integrate it into a unified dataset, ensuring that variables match and align.
• Data Documentation : Maintain clear documentation of all data preparation steps, as well as the rationale behind each decision. This transparency is essential for replicability.

Effective data preparation lays the foundation for accurate and meaningful analysis. It allows you to trust the results that will follow in the subsequent stages.

Descriptive Statistics

Descriptive statistics help you summarize and make sense of your data by providing a clear overview of its key characteristics. These statistics are essential for understanding the central tendencies, variability, and distribution of your variables. Descriptive statistics include:

• Measures of Central Tendency : These include the mean (average), median (middle value), and mode (most frequent value). They help you understand the typical or central value of your data.
• Measures of Dispersion : Measures like the range, variance, and standard deviation provide insights into the spread or variability of your data points.
• Frequency Distributions : Creating frequency distributions or histograms allows you to visualize the distribution of your data across different values or categories.

Descriptive statistics provide the initial insights needed to understand your data's basic characteristics, which can inform further analysis.

Inferential Statistics

Inferential statistics take your analysis to the next level by allowing you to make inferences or predictions about a larger population based on your sample data. These methods help you test hypotheses and draw meaningful conclusions. Key concepts in inferential statistics include:

• Hypothesis Testing : Hypothesis tests (e.g., t-tests , chi-squared tests ) help you determine whether observed differences or associations in your data are statistically significant or occurred by chance.
• Confidence Intervals : Confidence intervals provide a range within which population parameters (e.g., population mean) are likely to fall based on your sample data.
• Regression Analysis : Regression models (linear, logistic, etc.) help you explore relationships between variables and make predictions.
• Analysis of Variance (ANOVA) : ANOVA tests are used to compare means between multiple groups, allowing you to assess whether differences are statistically significant.

Chi-Square Calculator :

t-Test Calculator :

One-way ANOVA Calculator :

Inferential statistics are powerful tools for drawing conclusions from your data and assessing the generalizability of your findings to the broader population.

Qualitative Data Analysis

Qualitative data analysis is employed when working with non-numerical data, such as text, interviews, or open-ended survey responses. It focuses on understanding the underlying themes, patterns, and meanings within qualitative data. Qualitative analysis techniques include:

• Thematic Analysis : Identifying and analyzing recurring themes or patterns within textual data.
• Content Analysis : Categorizing and coding qualitative data to extract meaningful insights.
• Grounded Theory : Developing theories or frameworks based on emergent themes from the data.
• Narrative Analysis : Examining the structure and content of narratives to uncover meaning.

Qualitative data analysis provides a rich and nuanced understanding of complex phenomena and human experiences.

Data Visualization

Data visualization is the art of representing data graphically to make complex information more understandable and accessible. Effective data visualization can reveal patterns, trends, and outliers in your data. Common types of data visualization include:

• Bar Charts and Histograms : Used to display the distribution of categorical data or discrete data .
• Line Charts : Ideal for showing trends and changes in data over time.
• Scatter Plots : Visualize relationships and correlations between two variables.
• Pie Charts : Display the composition of a whole in terms of its parts.
• Heatmaps : Depict patterns and relationships in multidimensional data through color-coding.
• Box Plots : Provide a summary of the data distribution, including outliers.
• Interactive Dashboards : Create dynamic visualizations that allow users to explore data interactively.

Data visualization not only enhances your understanding of the data but also serves as a powerful communication tool to convey your findings to others.

As you embark on the data analysis phase of your empirical research, remember that the specific methods and techniques you choose will depend on your research questions, data type, and objectives. Effective data analysis transforms raw data into valuable insights, bringing you closer to the answers you seek.

How to Report Empirical Research Results?

At this stage, you get to share your empirical research findings with the world. Effective reporting and presentation of your results are crucial for communicating your research's impact and insights.

1. Write the Research Paper

Writing a research paper is the culmination of your empirical research journey. It's where you synthesize your findings, provide context, and contribute to the body of knowledge in your field.

• Title and Abstract : Craft a clear and concise title that reflects your research's essence. The abstract should provide a brief summary of your research objectives, methods, findings, and implications.
• Introduction : In the introduction, introduce your research topic, state your research questions or hypotheses, and explain the significance of your study. Provide context by discussing relevant literature.
• Methods : Describe your research design, data collection methods, and sampling procedures. Be precise and transparent, allowing readers to understand how you conducted your study.
• Results : Present your findings in a clear and organized manner. Use tables, graphs, and statistical analyses to support your results. Avoid interpreting your findings in this section; focus on the presentation of raw data.
• Discussion : Interpret your findings and discuss their implications. Relate your results to your research questions and the existing literature. Address any limitations of your study and suggest avenues for future research.
• Conclusion : Summarize the key points of your research and its significance. Restate your main findings and their implications.
• References : Cite all sources used in your research following a specific citation style (e.g., APA, MLA, Chicago). Ensure accuracy and consistency in your citations.
• Appendices : Include any supplementary material, such as questionnaires, data coding sheets, or additional analyses, in the appendices.

Writing a research paper is a skill that improves with practice. Ensure clarity, coherence, and conciseness in your writing to make your research accessible to a broader audience.

2. Create Visuals and Tables

Visuals and tables are powerful tools for presenting complex data in an accessible and understandable manner.

• Clarity : Ensure that your visuals and tables are clear and easy to interpret. Use descriptive titles and labels.
• Consistency : Maintain consistency in formatting, such as font size and style, across all visuals and tables.
• Appropriateness : Choose the most suitable visual representation for your data. Bar charts, line graphs, and scatter plots work well for different types of data.
• Simplicity : Avoid clutter and unnecessary details. Focus on conveying the main points.
• Accessibility : Make sure your visuals and tables are accessible to a broad audience, including those with visual impairments.
• Captions : Include informative captions that explain the significance of each visual or table.

Compelling visuals and tables enhance the reader's understanding of your research and can be the key to conveying complex information efficiently.

3. Interpret Findings

Interpreting your findings is where you bridge the gap between data and meaning. It's your opportunity to provide context, discuss implications, and offer insights. When interpreting your findings:

• Relate to Research Questions : Discuss how your findings directly address your research questions or hypotheses.
• Compare with Literature : Analyze how your results align with or deviate from previous research in your field. What insights can you draw from these comparisons?
• Discuss Limitations : Be transparent about the limitations of your study. Address any constraints, biases, or potential sources of error.
• Practical Implications : Explore the real-world implications of your findings. How can they be applied or inform decision-making?
• Future Research Directions : Suggest areas for future research based on the gaps or unanswered questions that emerged from your study.

Interpreting findings goes beyond simply presenting data; it's about weaving a narrative that helps readers grasp the significance of your research in the broader context.

With your research paper written, structured, and enriched with visuals, and your findings expertly interpreted, you are now prepared to communicate your research effectively. Sharing your insights and contributing to the body of knowledge in your field is a significant accomplishment in empirical research.

Examples of Empirical Research

To solidify your understanding of empirical research, let's delve into some real-world examples across different fields. These examples will illustrate how empirical research is applied to gather data, analyze findings, and draw conclusions.

Social Sciences

In the realm of social sciences, consider a sociological study exploring the impact of socioeconomic status on educational attainment. Researchers gather data from a diverse group of individuals, including their family backgrounds, income levels, and academic achievements.

Through statistical analysis, they can identify correlations and trends, revealing whether individuals from lower socioeconomic backgrounds are less likely to attain higher levels of education. This empirical research helps shed light on societal inequalities and informs policymakers on potential interventions to address disparities in educational access.

Environmental Science

Environmental scientists often employ empirical research to assess the effects of environmental changes. For instance, researchers studying the impact of climate change on wildlife might collect data on animal populations, weather patterns, and habitat conditions over an extended period.

By analyzing this empirical data, they can identify correlations between climate fluctuations and changes in wildlife behavior, migration patterns, or population sizes. This empirical research is crucial for understanding the ecological consequences of climate change and informing conservation efforts.

Business and Economics

In the business world, empirical research is essential for making data-driven decisions. Consider a market research study conducted by a business seeking to launch a new product. They collect data through surveys , focus groups , and consumer behavior analysis.

By examining this empirical data, the company can gauge consumer preferences, demand, and potential market size. Empirical research in business helps guide product development, pricing strategies, and marketing campaigns, increasing the likelihood of a successful product launch.

Psychological studies frequently rely on empirical research to understand human behavior and cognition. For instance, a psychologist interested in examining the impact of stress on memory might design an experiment. Participants are exposed to stress-inducing situations, and their memory performance is assessed through various tasks.

By analyzing the data collected, the psychologist can determine whether stress has a significant effect on memory recall. This empirical research contributes to our understanding of the complex interplay between psychological factors and cognitive processes.

These examples highlight the versatility and applicability of empirical research across diverse fields. Whether in medicine, social sciences, environmental science, business, or psychology, empirical research serves as a fundamental tool for gaining insights, testing hypotheses, and driving advancements in knowledge and practice.

Conclusion for Empirical Research

Empirical research is a powerful tool for gaining insights, testing hypotheses, and making informed decisions. By following the steps outlined in this guide, you've learned how to select research topics, collect data, analyze findings, and effectively communicate your research to the world. Remember, empirical research is a journey of discovery, and each step you take brings you closer to a deeper understanding of the world around you. Whether you're a scientist, a student, or someone curious about the process, the principles of empirical research empower you to explore, learn, and contribute to the ever-expanding realm of knowledge.

How to Collect Data for Empirical Research?

Introducing Appinio , the real-time market research platform revolutionizing how companies gather consumer insights for their empirical research endeavors. With Appinio, you can conduct your own market research in minutes, gaining valuable data to fuel your data-driven decisions.

Appinio is more than just a market research platform; it's a catalyst for transforming the way you approach empirical research, making it exciting, intuitive, and seamlessly integrated into your decision-making process.

Here's why Appinio is the go-to solution for empirical research:

• From Questions to Insights in Minutes : With Appinio's streamlined process, you can go from formulating your research questions to obtaining actionable insights in a matter of minutes, saving you time and effort.
• Intuitive Platform for Everyone : No need for a PhD in research; Appinio's platform is designed to be intuitive and user-friendly, ensuring that anyone can navigate and utilize it effectively.
• Rapid Response Times : With an average field time of under 23 minutes for 1,000 respondents, Appinio delivers rapid results, allowing you to gather data swiftly and efficiently.
• Global Reach with Targeted Precision : With access to over 90 countries and the ability to define target groups based on 1200+ characteristics, Appinio empowers you to reach your desired audience with precision and ease.

Get free access to the platform!

Join the loop 💌

Be the first to hear about new updates, product news, and data insights. We'll send it all straight to your inbox.

Get the latest market research news straight to your inbox! 💌

Wait, there's more

03.09.2024 | 3min read

Get your brand Holiday Ready: 4 Essential Steps to Smash your Q4

03.09.2024 | 8min read

Beyond Demographics: Psychographics power in target group identification

29.08.2024 | 32min read

What is Convenience Sampling? Definition, Method, Examples

Canvas | University | Ask a Librarian

• Library Homepage
• Arrendale Library

Empirical & Non-Empirical Research

• Empirical Research

Introduction: What is Empirical Research?

Quantitative methods, qualitative methods.

• Quantitative vs. Qualitative
• Reference Works for Social Sciences Research
• What is Non-Empirical Research?
• Contact Us!

 Call us at 706-776-0111

  Chat with a Librarian

  Send Us Email

  Library Hours

Empirical research  is based on phenomena that can be observed and measured. Empirical research derives knowledge from actual experience rather than from theory or belief. 

Key characteristics of empirical research include:

• Specific research questions to be answered;
• Definitions of the population, behavior, or phenomena being studied;
• Description of the methodology or research design used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys);
• Two basic research processes or methods in empirical research: quantitative methods and qualitative methods (see the rest of the guide for more about these methods).

(based on the original from the Connelly LIbrary of LaSalle University)

Empirical Research: Qualitative vs. Quantitative

Learn about common types of journal articles that use APA Style, including empirical studies; meta-analyses; literature reviews; and replication, theoretical, and methodological articles.

Academic Writer

© 2024 American Psychological Association.

• More about Academic Writer ...

Quantitative Research

A quantitative research project is characterized by having a population about which the researcher wants to draw conclusions, but it is not possible to collect data on the entire population.

• For an observational study, it is necessary to select a proper, statistical random sample and to use methods of statistical inference to draw conclusions about the population. 
• For an experimental study, it is necessary to have a random assignment of subjects to experimental and control groups in order to use methods of statistical inference.

Statistical methods are used in all three stages of a quantitative research project.

For observational studies, the data are collected using statistical sampling theory. Then, the sample data are analyzed using descriptive statistical analysis. Finally, generalizations are made from the sample data to the entire population using statistical inference.

For experimental studies, the subjects are allocated to experimental and control group using randomizing methods. Then, the experimental data are analyzed using descriptive statistical analysis. Finally, just as for observational data, generalizations are made to a larger population.

Iversen, G. (2004). Quantitative research . In M. Lewis-Beck, A. Bryman, & T. Liao (Eds.), Encyclopedia of social science research methods . (pp. 897-898). Thousand Oaks, CA: SAGE Publications, Inc.

Qualitative Research

What makes a work deserving of the label qualitative research is the demonstrable effort to produce richly and relevantly detailed descriptions and particularized interpretations of people and the social, linguistic, material, and other practices and events that shape and are shaped by them.

Qualitative research typically includes, but is not limited to, discerning the perspectives of these people, or what is often referred to as the actor’s point of view. Although both philosophically and methodologically a highly diverse entity, qualitative research is marked by certain defining imperatives that include its case (as opposed to its variable) orientation, sensitivity to cultural and historical context, and reflexivity. 

In its many guises, qualitative research is a form of empirical inquiry that typically entails some form of purposive sampling for information-rich cases; in-depth interviews and open-ended interviews, lengthy participant/field observations, and/or document or artifact study; and techniques for analysis and interpretation of data that move beyond the data generated and their surface appearances. 

Sandelowski, M. (2004).  Qualitative research . In M. Lewis-Beck, A. Bryman, & T. Liao (Eds.),  Encyclopedia of social science research methods . (pp. 893-894). Thousand Oaks, CA: SAGE Publications, Inc.

• Next: Quantitative vs. Qualitative >>
• Last Updated: Jul 24, 2024 12:04 PM
• URL: https://library.piedmont.edu/empirical-research
• Ebooks & Online Video
• New Materials
• Renew Checkouts
• Faculty Resources
• Library Friends
• Library Services
• Our Mission
• Library History
• Ask a Librarian!
• Making Citations
• Working Online

Arrendale Library Piedmont University 706-776-0111

Identify Empirical Research Articles

• What is empirical research?
• Finding empirical research in library databases
• Research design
• Need additional help?

Getting started

According to the APA , empirical research is defined as the following: "Study based on facts, systematic observation, or experiment, rather than theory or general philosophical principle." Empirical research articles are generally located in scholarly, peer-reviewed journals and often follow a specific layout known as IMRaD: 1) Introduction - This provides a theoretical framework and might discuss previous studies related to the topic at hand. 2) Methodology - This describes the analytical tools used, research process, and the populations included. 3) Results - Sometimes this is referred to as findings, and it typically includes statistical data.  4) Discussion - This can also be known as the conclusion to the study, this usually describes what was learned and how the results can impact future practices.

In addition to IMRaD, it's important to see a conclusion and references that can back up the author's claims.

Characteristics to look for

In addition to the IMRaD format mentioned above, empirical research articles contain several key characteristics for identification purposes:

• The length of empirical research is often substantial, usually eight to thirty pages long.
• You should see data of some kind, this includes graphs, charts, or some kind of statistical analysis.
• There is always a bibliography found at the end of the article.

Publications

Empirical research articles can be found in scholarly or academic journals. These types of journals are often referred to as "peer-reviewed" publications; this means qualified members of an academic discipline review and evaluate an academic paper's suitability in order to be published. 

The CRAAP Checklist should be utilized to help you examine the currency, relevancy, authority, accuracy, and purpose of an information resource. This checklist was developed by California State University's Meriam Library . 

This page has been adapted from the Sociology Research Guide: Identify Empirical Articles at Cal State Fullerton Pollak Library.

• << Previous: Home
• Next: Finding empirical research in library databases >>
• Last Updated: Feb 22, 2024 10:12 AM
• URL: https://paloaltou.libguides.com/empiricalresearch

Empirical Research

• Reference work entry
• First Online: 01 January 2020
• Cite this reference work entry

• Emeka Thaddues Njoku 3  

251 Accesses

1 Citations

The term “empirical” entails gathered data based on experience, observations, or experimentation. In empirical research, knowledge is developed from factual experience as opposed to theoretical assumption and usually involved the use of data sources like datasets or fieldwork, but can also be based on observations within a laboratory setting. Testing hypothesis or answering definite questions is a primary feature of empirical research. Empirical research, in other words, involves the process of employing working hypothesis that are tested through experimentation or observation. Hence, empirical research is a method of uncovering empirical evidence.

Through the process of gathering valid empirical data, scientists from a variety of fields, ranging from the social to the natural sciences, have to carefully design their methods. This helps to ensure quality and accuracy of data collection and treatment. However, any error in empirical data collection process could inevitably render such...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or eBook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime
• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Durable hardcover edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Bibliography

Bhattacherjee, A. (2012). Social science research: Principles, methods, and practices. Textbooks Collection . Book 3.

Google Scholar  

Comte, A., & Bridges, J. H. (Tr.) (1865). A general view of positivism . Trubner and Co. (reissued by Cambridge University Press, 2009).

Dilworth, C. B. (1982). Empirical research in the literature class. English Journal, 71 (3), 95–97.

Article   Google Scholar  

Heisenberg, W. (1971). Positivism, metaphysics and religion. In R. N. Nanshen (Ed.), Werner Heisenberg – Physics and beyond – Encounters and conversations , World Perspectives. 42. Translator: Arnold J. Pomerans. New York: Harper and Row.

Hossain, F. M. A. (2014). A critical analysis of empiricism. Open Journal of Philosophy, 2014 (4), 225–230.

Kant, I. (1783). Prolegomena to any future metaphysic (trans: Bennett, J.). Early Modern Texts. www.earlymoderntexts.com

Koch, S. (1992). Psychology’s Bridgman vs. Bridgman’s Bridgman: An essay in reconstruction. Theory and Psychology, 2 (3), 261–290.

Matin, A. (1968). An outline of philosophy . Dhaka: Mullick Brothers.

Mcleod, S. (2008). Psychology as science. http://www.simplypsychology.org/science-psychology.html

Popper, K. (1963). Conjectures and refutations: The growth of scientific knowledge . London: Routledge.

Simmel, G. (1908). The problem areas of sociology in Kurt H. Wolf: The sociology of Georg Simmel . London: The Free Press.

Weber, M. (1991). The nature of social action. In W. G. Runciman (Ed.), Weber: Selections in translation . Cambridge: Cambridge University Press.

Download references

Author information

Authors and affiliations.

Department of Political Science, University of Ibadan, Ibadan, Oyo, Nigeria

Emeka Thaddues Njoku

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Emeka Thaddues Njoku .

Editor information

Editors and affiliations.

University of Connecticut, Storrs, CT, USA

David A. Leeming

Blanton-Peale Institute, New York, NY, USA

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this entry

Cite this entry.

Njoku, E.T. (2020). Empirical Research. In: Leeming, D.A. (eds) Encyclopedia of Psychology and Religion. Springer, Cham. https://doi.org/10.1007/978-3-030-24348-7_200051

Download citation

DOI : https://doi.org/10.1007/978-3-030-24348-7_200051

Published : 12 June 2020

Publisher Name : Springer, Cham

Print ISBN : 978-3-030-24347-0

Online ISBN : 978-3-030-24348-7

eBook Packages : Behavioral Science and Psychology Reference Module Humanities and Social Sciences Reference Module Business, Economics and Social Sciences

Share this entry

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

• Ask a Librarian

Research: Overview & Approaches

• Getting Started with Undergraduate Research
• Planning & Getting Started
• Building Your Knowledge Base
• Locating Sources
• Reading Scholarly Articles
• Creating a Literature Review
• Productivity & Organizing Research
• Scholarly and Professional Relationships

Introduction to Empirical Research

Databases for finding empirical research, guided search, google scholar, examples of empirical research, sources and further reading.

• Interpretive Research
• Action-Based Research
• Creative & Experimental Approaches

Your Librarian

• Introductory Video This video covers what empirical research is, what kinds of questions and methods empirical researchers use, and some tips for finding empirical research articles in your discipline.

• Guided Search: Finding Empirical Research Articles This is a hands-on tutorial that will allow you to use your own search terms to find resources.

• Study on radiation transfer in human skin for cosmetics
• Long-Term Mobile Phone Use and the Risk of Vestibular Schwannoma: A Danish Nationwide Cohort Study
• Emissions Impacts and Benefits of Plug-In Hybrid Electric Vehicles and Vehicle-to-Grid Services
• Review of design considerations and technological challenges for successful development and deployment of plug-in hybrid electric vehicles
• Endocrine disrupters and human health: could oestrogenic chemicals in body care cosmetics adversely affect breast cancer incidence in women?

• << Previous: Scholarly and Professional Relationships
• Next: Interpretive Research >>
• Last Updated: Aug 13, 2024 12:18 PM
• URL: https://guides.lib.purdue.edu/research_approaches

Psychology Research Guide

• Articles & Databases
• Citations & Plagiarism
• Career Information
• Topics & Resources
• Literature Review
• Empirical Research

Empirical research  is published in books and in  scholarly, peer-reviewed journals .

Make sure to select the  peer-review box  within each database!

What is Empirical Research?

Empirical research is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief. 

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology." Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions to be answered
• Definition of the population, behavior, or phenomena being studied
• Description of the process used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format (Introduction – Method – Results – and – Discussion), to communicate empirical research findings. Such articles typically have 4 components:

• Introduction : sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology : sometimes called "research design" -- how to recreate the study -- usually describes the population, research process, and analytical tools
• Results : sometimes called "findings" -- what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion : sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies

*Information obtained from the LAHC Research Libguide

Empirical Resources in Health & Medial Databases

These databases may not have a simple method to locate empirical research . One technique is to search for "evidence-based practice" items: 

• Use the "Advanced Search"
• Type your keywords into the search boxes
• Under "Limit your results," check off "Evidence-Based Practice"
• Choose other limits, such as published date, if needed
• Click on the "Search" button

Another alternative is to use terminology recommended b y the Headings list. Some useful keywords are:

• Experimental Studies
• Qualitative Studies
• Quantitative Studies

*Information obtained from LAHC's Research LibGuide

Empirical Resources in Databases

ERIC  (a database provided by EBSCO) does not have a simple method to locate empirical research. Using "empirical" as a keyword will find some studies, but miss others. One technique is to search for "Research Reports":

• Under "More Search Options," see "Document Type," and choose "Reports: Research"
• Choose other limits, such as publication date, if needed

An alternative is to use terminology recommended by the ERIC thesaurus. Some useful keywords are:

• Action Research
• Case Studies
• Ethnography
• Evaluation Methods
• Evaluation Research
• Experiments
• Focus Groups
• Field Studies
• Mail Surveys
• Mixed Methods Research
• Naturalistic O bservation
• Participant Observation
• Participatory Research
• Qualitative Research
• Questionnaires
• Statistical Analysis
• Statistical Studies
• Telephone Surveys
• << Previous: Literature Review
• Last Updated: Aug 21, 2024 3:01 PM
• URL: https://csub.libguides.com/psychology

• University of Memphis Libraries
• Research Guides

Empirical Research: Defining, Identifying, & Finding

Identifying empirical research.

• Defining Empirical Research

Finding the Characteristics of Empirical Research in an Article

The abstract.

• Introduction
• Database Tools
• Search Terms
• Image Descriptions

Once you know the characteristics of empirical research , the next question is how to find those characteristics when reading a scholarly, peer-reviewed journal article. Knowing the basic structure of an article will help you identify those characteristics quickly. 

The IMRaD Layout

Many scholarly, peer-reviewed journal articles, especially empirical articles, are structured according to the IMRaD layout. IMRaD stands for "Introduction, Methods, Results, and Discussion." These are the major sections of the article, and each part has an important role: 

• Introduction: explains the research project and why it is needed. 
• Methods: details how the research was conducted. 
• Results: provides the data from the research.
• Discussion: explains the importance of the results. 

While an IMRaD article will have these sections, it may use different names for these sections or split them into subsections. 

While just because an article is structured in an IMRaD layout is not enough to say it is empirical, specific characteristics of empirical research are more likely to be in certain sections , so knowing them will help you find the characteristics more quickly. Click the link for each section to learn what empirical research characteristics are in that section and common alternative names for those sections: 

Use this video for a quick overview of the sections of an academic article: 

Journal articles will also have an abstract which summarizes the article. That summary often includes simplified information from different IMRaD sections, which can give you a good sense of whether the research is empirical. Most library databases and other academic search tools will show you the abstract in your search results, making it the first place you can look for evidence that an article is empirical. 

There are two types of abstracts: structured and unstructured. 

Structured Abstracts

Structured abstracts   are organized and labeled in a way that replicates the IMRaD format. If you know what characteristics of empirical research are located in a particular IMRaD section, you can skim that section of the structured abstract to look for them. 

[ Image description ] 

Unstructured Abstracts

Unstructured abstracts   do not label the parts of the summary and are generally a single block paragraph. You will not be able to skim through an unstructured abstract for empirical research characteristics as easily, but some of those characteristics will still be there. Often the unstructured abstract will include some version of the research question and simplified descriptions of the design, methodology, and sample. 

[ Image description ]

• << Previous: Defining Empirical Research
• Next: Introduction >>
• Last Updated: Apr 2, 2024 11:25 AM
• URL: https://libguides.memphis.edu/empirical-research

Empirical Research: What is Empirical Research?

• What is Empirical Research?
• Finding Empirical Research in Library Databases
• Designing Empirical Research

Introduction

Empirical research is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief. 

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology." Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions to be answered
• Definition of the population, behavior, or phenomena being studied
• Description of the process used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format (Introduction – Method – Results – and – Discussion), to communicate empirical research findings. Such articles typically have 4 components:

• Introduction : sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology : sometimes called "research design" -- how to recreate the study -- usually describes the population, research process, and analytical tools
• Results : sometimes called "findings" -- what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion : sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies

Empirical research  is published in books and in  scholarly, peer-reviewed journals .

Make sure to select the  peer-review box  within each database!

• Next: Finding Empirical Research in Library Databases >>
• Last Updated: Nov 21, 2022 8:55 AM
• URL: https://libguides.lahc.edu/empirical

Empirical Research in the Social Sciences and Education

What is empirical research.

• Finding Empirical Research
• Designing Empirical Research
• Ethics & Anti-Racism in Research
• Citing, Writing, and Presenting Your Work

Academic Services Librarian | Research, Education, & Engagement

Gratitude to Penn State

Thank you to librarians at Penn State for serving as the inspiration for this library guide

An empirical research article is a primary source where the authors reported on experiments or observations that they conducted. Their research includes their observed and measured data that they derived from an actual experiment rather than theory or belief. 

How do you know if you are reading an empirical article? Ask yourself: "What did the authors actually do?" or "How could this study be re-created?"

Key characteristics to look for:

• Specific research questions  to be answered
• Definition of the  population, behavior, or phenomena  being studied
• Description of the  process or methodology  used to study this population or phenomena, including selection criteria, controls, and testing instruments (example: surveys, questionnaires, etc)
• You can readily describe what the  authors actually did 

Layout of Empirical Articles

Scholarly journals sometimes use a specific layout for empirical articles, called the "IMRaD" format, to communicate empirical research findings. There are four main components:

• Introduction : aka "literature review". This section summarizes what is known about the topic at the time of the article's publication. It brings the reader up-to-speed on the research and usually includes a theoretical framework 
• Methodology : aka "research design". This section describes exactly how the study was done. It describes the population, research process, and analytical tools
• Results : aka "findings". This section describes what was learned in the study. It usually contains statistical data or substantial quotes from research participants
• Discussion : aka "conclusion" or "implications". This section explains why the study is important, and also describes the limitations of the study. While research results can influence professional practices and future studies, it's important for the researchers to clarify if specific aspects of the study should limit its use. For example, a study using undergraduate students at a small, western, private college can not be extrapolated to include  all  undergraduates. 
• Next: Finding Empirical Research >>
• Last Updated: May 8, 2024 3:28 PM
• URL: https://libguides.stthomas.edu/empiricalresearcheducation

© 2023 University of St. Thomas, Minnesota

Transcription Service for Your Academic Paper

Start Transcription now

Editing & Proofreading for Your Research Paper

Get it proofread now

Online Printing & Binding with Free Express Delivery

Configure binding now

• Academic essay overview
• The writing process
• Structuring academic essays
• Types of academic essays
• Academic writing overview
• Sentence structure
• Academic writing process
• Improving your academic writing
• Titles and headings
• APA style overview
• APA citation & referencing
• APA structure & sections
• Citation & referencing
• Structure and sections
• APA examples overview
• Commonly used citations
• Other examples
• British English vs. American English
• Chicago style overview
• Chicago citation & referencing
• Chicago structure & sections
• Chicago style examples
• Citing sources overview
• Citation format
• Citation examples
• College essay overview
• Application
• How to write a college essay
• Types of college essays
• Commonly confused words
• Definitions
• Dissertation overview
• Dissertation structure & sections
• Dissertation writing process
• Graduate school overview
• Application & admission
• Study abroad
• Master degree
• Harvard referencing overview
• Language rules overview
• Grammatical rules & structures
• Parts of speech
• Punctuation
• Methodology overview
• Analyzing data
• Experiments
• Observations
• Inductive vs. Deductive
• Qualitative vs. Quantitative
• Types of validity
• Types of reliability
• Sampling methods
• Theories & Concepts
• Types of research studies
• Types of variables
• MLA style overview
• MLA examples
• MLA citation & referencing
• MLA structure & sections
• Plagiarism overview
• Plagiarism checker
• Types of plagiarism
• Printing production overview
• Research bias overview
• Types of research bias
• Example sections
• Types of research papers
• Research process overview
• Problem statement
• Research proposal
• Research topic
• Statistics overview
• Levels of measurment
• Frequency distribution
• Measures of central tendency
• Measures of variability
• Hypothesis testing
• Parameters & test statistics
• Types of distributions
• Correlation
• Effect size
• Hypothesis testing assumptions
• Types of ANOVAs
• Types of chi-square
• Statistical data
• Statistical models
• Spelling mistakes
• Tips overview
• Academic writing tips
• Dissertation tips
• Sources tips
• Working with sources overview
• Evaluating sources
• Finding sources
• Including sources
• Types of sources

Your Step to Success

Transcription Service for Your Paper

Printing & Binding with 3D Live Preview

Empirical Research – Characteristics & Advantages

How do you like this article cancel reply.

Save my name, email, and website in this browser for the next time I comment.

Many people ascribe to the quote, “I will not believe it unless I see it.” What most don’t know is that this quote came from empirical research enthusiasts in the renaissance period and is currently a cornerstone for modern science and research. The word empirical has a Greek origin from empeirikos, meaning experienced.

Inhaltsverzeichnis

• 1 Empirical Research – FAQs
• 2 Empirical Research: Definition
• 3 Characteristics of Empirical Research
• 4 Uses of Empirical Research
• 5 Empirical Research Methods
• 6 Empirical vs Non-Empirical Research
• 7 Advantages of Empirical Research
• 8 In a Nutshell

Empirical Research – FAQs

What is empirical research.

This is a type of research whose findings and conclusions are based on valid data or evidence. These pieces of evidence are collected using either or both qualitative research and quantitative research . In philosophy, empiricism is concluding direct observations and assessment instead of using logic alone.

What are examples of Empirical Research?

An excellent example of empirical research is the process of DNA testing and its findings.

What is Empirical and Non-Empirical Research?

While empirical research focuses on individual pieces of evidence and facts, the non-empirical study considers personal judgement and authoritative experience as necessary as the data collected.

What are the three types of research questions?

A research project can use either descriptive, relational, or causal questions to collect and analyse data.

What's the need for Empirical Research?

This form of research is quite useful in science, history, and business as it validates hypothesis, thus increasing human knowledge with tangible pieces of evidence.

Empirical Research: Definition

Empirical Resarch is a type of research where the conclusions and decisions are based on valid data or evidence. Empirical research  can be analyzed quantitatively or qualitatively. Instead of using only logic,  in philosophy empiricism is concluding direct observations and assessment.

Characteristics of Empirical Research

The distinctive feature of empirical research is its strictness in collecting and observing data and experiences to collect useful information that is used to create a provable analysis. For this reason, the research has six main characteristics, better known as the steps to complete empirical research.

Abstract/Purpose

The first step involves coming up with the foundational purpose of the research. The researcher answers questions like:

• What do I want to find out?
• How do I define the problem statement?
• Is the data readily available?
• Are there challenges that might limit the collection of data in terms of time, resources, language barrier, etc.?
• What is the ratio between the research itself and the finding in terms of profitability? In short, is it worth the effort?

This is the area where the researcher goes deep into why he/she wants to perform it and what he/she seeks to find or prove from the outcome.

Introduction

The second step involves having an initial report for the research. Here, any facts ever documented on the same are highlighted plus the statement of hypotheses for the current study. Also, the parties involved describe tolerable errors, measurements, and acceptable methods in this section.

This is where the actual research takes place, plus the recording of the process and data. Researchers decide whether they will use experimental or non-experimental methods for data collection in relation t the hypotheses. Depending on the field of research, they will then carve out a research design that can maximise their resources and methods of data collection. Data collection techniques are then used, which might include sampling and questionnaire methods.

Some researchers merge this part with step 3, while others handle them separately. This is where the findings from the data collection methods are put together. The data is then cleaned and analysed.

Data analysis methods include qualitative or quantitative methods. From either or both of these methods, researchers check their findings to support or reject their hypothesis. A discussion on the interpretation and implications of the findings plus the study as a whole is then documented for formal use.

Finally, credit is given to whomever the credit is due. Citations or a bibliography with materials used in the report are also included.

Uses of Empirical Research

Thanks to it insisting on having tangible pieces of evidence, empirical research comes in handy in various disciplines. The most prevalent uses are in medicine, anthropology and law. In medicine, the research helps to prove several hypotheses that increase human knowledge on the body’s behaviour and adaptability to new methods of handling diseases.

In the legal field, this type of research helps to study how rules and regulations impact the society or a certain institution understudy while in anthropology, it follows human patterns to understand cultures.

Empirical Research Methods

The two main methods used in empirical research are quantitative and qualitative. In quantitative research , numerical data is used to collect information or any other quantifiable process. The most common examples are polls, longitudinal studies and surveys.

On the other hand, qualitative research focuses more on meaning, underlying reasons and opinions from the data collected. The method takes on an unstructured approach or semi-structured. By the nature of its data, the method provides in-depth information and is often a smaller sample. Its examples include interviews, groups, and experiments.

Empirical vs Non-Empirical Research

While empirical research stops at verifiable data, non-empirical research includes authoritative opinions and logic. This is to add some meaning to the data for further elaboration. In short, data from the non-empirical study is theorised. While empirical research uses qualitative and quantitative methods, a researcher using the non-empirical method will use a lot of systematic reviews, meta-analysis, and critical studies to conclude the matter at hand.

GOOD TO KNOW: Read our article about Research Methodology !

Advantages of Empirical Research

First and foremost, this form of research has increased the credibility of findings, making it easy for someone to make an argument out of facts instead of theoretical assumptions. It keeps works authentic, formal, and verifiable, thus increasing the quality depth of information.

Secondly, empirical research is quite flexible. The researcher has the authority to adjust methodologies and also the sample size to suit any form of necessity. All in all, it is easy and the most reliable type of research.

In a Nutshell

Empirical research is, in short, an essential approach to building up information and making provable arguments to support specific implications. To wrap this up:

• Empirical research is a valid form of research that leaves no room for misinterpretation of information.
• Both qualitative and quantitative methods help to draw viable conclusions and are useful in this form of research.
• A researcher is free to explore the best approach to reach a viable conclusion within the empirical survey.

Bachelor Print is the most amazing company ever to print or bind academic work...

We use cookies on our website. Some of them are essential, while others help us to improve this website and your experience.

• External Media

Individual Privacy Preferences

Cookie Details Privacy Policy Imprint

Here you will find an overview of all cookies used. You can give your consent to whole categories or display further information and select certain cookies.

Accept all Save

Essential cookies enable basic functions and are necessary for the proper function of the website.

Show Cookie Information Hide Cookie Information

Statistics cookies collect information anonymously. This information helps us to understand how our visitors use our website.

Content from video platforms and social media platforms is blocked by default. If External Media cookies are accepted, access to those contents no longer requires manual consent.

Privacy Policy Imprint

Identifying Empirical Research: Home

What is empirical research.

Empirical research is research that is based on observation or experimentation. Typically empirical research is published in peer-reviewed articles by the individuals who conducted the research. Watch the video below to learn about the characteristics of empirical research! 

Identifying Empirical Research

But how do you identify empirical research? Empirical research is typically published in scholarly journals. But not everything in scholarly journals is necessarily empirical research - you still need to carefully evaluate the methods of the article to determine if it is empirical research. 

1. Carefully evaluate the article's Methods and Results sections.  Empirical articles will a) include these sections and b) explicitly state their methodologies and share their results. Evaluate the methodology - are the methods based on observation, a survey, experimentation, etc? Look for charts, data, and other representations in the results section. 

2. Look out for types of articles that are NOT empirical.  Meta-analyses, literature reviews (with no other study components), editorials/letters, book reviews, case studies, opinions. 

3. In some databases, such as PsycINFO, you can limit to empirical research under Methodology in the "Advanced Search" section. Or limit to evidence-based practice" in CINAHL. 

4. In other databases, try using keywords such as empirical research, quantitative method, qualitative method, survey, ethnography, fieldwork or other type of empirical research method.

• Last Updated: Sep 9, 2024 5:31 PM
• URL: https://libguides.usu.edu/empirical_research

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Empirical Research: What is empirical research?

What is empirical research.

• How do I find empirical research in databases?
• What does empirical research look like?
• How is empirical research conducted?
• What is Empirical Research?
• How do I Find Empirical Research in Databases?
• How is Empirical Research Conducted?

Ask a Librarian

Contact the reference desk.

Reference Desk Hours

Empirical research  is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief. 

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology."  Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions  to be answered
• Definition of the  population, behavior, or   phenomena  being studied
• Description of the  process  used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format, to communicate empirical research findings. Such articles typically have 4 components:

• Introduction : sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology:  sometimes called "research design" --  how to recreate the study -- usually describes the population, research process, and analytical tools
• Results : sometimes called "findings"  --  what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion : sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies

What about when research is not empirical?

Many humanities scholars do not use empirical methods. if you are looking for empirical articles in one of these subject areas, try including keywords like:.

• quantitative
• qualitative

Also, look for opportunities to narrow your search to scholarly, academic, or peer-reviewed journals articles in the database.

Adapted from " Research Methods: Finding Empirical Articles " by Jill Anderson at Georgia State University Library.

See the complete A-Z databases list for more resources

The primary content of this guide was originally created by  Ellysa  Cahoy at Penn State Libraries .

• Next: How do I find empirical research in databases? >>
• Last Updated: Aug 26, 2024 10:45 AM
• URL: https://geiselguides.anselm.edu/Empirical-Research

La Salle University

Connelly library, library main menu.

• Course Reserves
• Interlibrary Loan (ILL)
• Study Room Use & Reservations
• Technology & Printing
• Citation Guides
• Reserve Library Space
• Request Instruction
• Copyright Information
• Guides for Faculty

Special Collections

• University Archives
• Historical & Cultural Collections
• Rare Bibles & Prayer Books
• Historical Research Guides
• Information & Guidelines
• Staff Directory
• Meet with a Librarian
• Directions & Building Maps

Research Hub

• Research Tools
• Research Guides

Qualitative and Quantitative Research

What is "empirical research".

• empirical research
• Locating Articles in Cinahl and PsycInfo
• Locating Articles in PubMed
• Getting the Articles This link opens in a new window

Empirical research  is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief. 

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology."  Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions  to be answered
• Definition of the  population, behavior, or   phenomena  being studied
• Description of the  process  used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format, to communicate empirical research findings. Such articles typically have 4 components:

• Introduction : sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology:  sometimes called "research design" --  how to recreate the study -- usually describes the population, research process, and analytical tools
• Results : sometimes called "findings"  --  what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion : sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies
• << Previous: Home
• Next: Locating Articles in Cinahl and PsycInfo >>

Chat Assistance

Empirical Research: Characteristics, Methods and Criteria

The Empirical research Refers to any research based on experimentation and observation, generally conducted to answer a specific question or hypothesis.

The empirical word means that information is obtained merely through experience, observation and / or experimentation.

In the scientific method, the word"empirical"refers to the use of a hypothesis that can be tested using observation and experimentation, all evidence must be empirical, which means that it must be based on evidence.

characteristics

The main characteristics of an empirical investigation are the following:

• It has a series of pre-established stages that must be followed to achieve a successful investigation.
• Although it has a series of pre-established stages that should be followed, this does not make it a rigid type of investigation, it retains flexibility and adaptability regarding its rules depending on the situation, the problem, the interests, objectives, etc.
• In the investigation are established questions that must be answered.
• The population, behavior or phenomenon to be studied must be defined.
• It describes the process used to study the population or phenomenon, including the selection of criteria, controls and instruments used for data collection (eg surveys)
• Generally includes graphs, statistical analysis and tables to explain the results obtained.
• They are substantial, they gather enough information.
• Conduct thorough research, go beyond simply reporting observations.
• Improve understanding in the subject to be investigated.
• Combine extensive research with detailed case studies.
• To prove the relevance of the theory by using experimentation in the real world, providing context to the information.

In each phase of the scientific investigation, three main questions must be answered, aimed at determining relevant information to answer the problem and establishing the way in which data will be interpreted and analyzed in an appropriate way.

These questions are:

• What are the reasons that lead us to do empirical research? And knowing this, analyze if the results provided will be of scientific and practical value.
• What is it to investigate? For example: to whom is it directed? Characteristics, properties, variables, etc.
• How should we investigate? What all of the measurement will be used, how they will be employed, measured, analyzed, etc.

Empirical Cycle

It consists of following the following steps:

• Observation: collect and organize empirical information with the purpose of forming a hypothesis.
• Induction: process of hypothesis formation.
• Deduction: deduce the conclusions and consequences of the empirical information that has been collected.
• Test: test the hypothesis according to the empirical data.
• Evaluation: evaluate and analyze the data collected in the tests previously carried out in order to reach a conclusion.

Structure and Composition of an article based on Empirical Research

Articles created under the guidelines of empirical research are divided and composed of the following sections:

• Title: Provides a brief and clear description of what the research will include, including the most relevant keywords.
• Summary: briefly describes (about 250 words) and specifies the problem and object of the research.
• Introduction: must be written in a didactic way, chronologically highlighting the main events in order to set the context of the research.

The objectives must be clear and often highlights the reasons that led the researcher to perform such work and offers information that may be useful to understand the problem to investigate.

You must always be present.

• Sample: represents the population to be studied and should be clearly specified.
• Research instruments and instruments: tools that will be used to achieve the objective (surveys, questionnaires, etc.)
• Procedure: a summary of each step necessary for the implementation of the objectives.
• Research Design.
• Results: it is not more than the answer to the main question object of the investigation, it is described and analyzed the collected data.
• Discussion: discusses the implications of the results obtained. Compare, contrast and discuss the data obtained with other research or articles with similar themes.

It can often also carry the name of conclusion.

• References: list of citations of the books, articles, reports and studies that were used during the investigation.

Also called"bibliography".

Empirical Methods of Scientific Research

As we know, the content of empirical research comes from experience and can come from different sources:

• Simple observation: performed by a person spontaneously, consciously and without prejudice.
• Systematic observation: it requires some control to ensure its objectivity, it must be performed by several observers in order to obtain a uniform and fair result.
• Non-participant observation: the researcher is not part of the investigated group.
• Open observation: the subjects to be investigated are aware that they will be observed.
• Covert observation: the subjects to be investigated are not aware that they will be observed, the observer is hidden.
• Experimental method : Is the most effective and complex. The necessary information is collected and obtained through an experiment.

The purpose of the experiment may be to find relationships between objects, to verify the hypothesis, a theory, a model, to clarify laws, nexuses and relations, etc. All this in order to make manifest the causes, conditions, reasons and needs of the phenomenon studied.

The experiment will always be linked to theory, one can not exist without the other.

Criteria that are generally evaluated in this type of research

• One of the main criteria to be evaluated is whether the problem under study is novel or relevant.
• Verify if it has a practical, theoretical, social interest, etc.
• Identify if it is written in third person.
• Have consistency, consistency, quality, precision.
• Analyze if it answers the hypothesis and meets its objectives.
• Use and adaptation of bibliographic references.
• To verify that the results and conclusions truly contribute valuable information that improves the previous knowledge on the subject.
• Bradford, Alina (2015-03-24). " Empirical Evidence: A Definition ". Live Science.
• Bruns, Cynthia (2010-01-25). " Empirical Research How to Recognize and Locate "
• Cahoy, Ellysa (2016). "Empirical Research in Education and the Behavioral / Social Sciences".
• Heinemann, Klaus (2003). " Introduction to the Methodology of Empirical Research "
• Henderson, John. " Empirical Research "

Recent Posts

• Open access
• Published: 11 September 2024

Adult co-creators’ emotional and psychological experiences of the co-creation process: a Health CASCADE scoping review protocol

• Lauren McCaffrey   ORCID: orcid.org/0000-0003-2524-977X 1 ,
• Bryan McCann 1 ,
• Maria Giné-Garriga 2 ,
• Qingfan An 3 ,
• Greet Cardon 4 ,
• Sebastien François Martin Chastin 1 , 4 ,
• Rabab Chrifou 4 ,
• Sonia Lippke 5 ,
• Quentin Loisel 1 ,
• Giuliana Raffaella Longworth 2 ,
• Katrina Messiha 6 ,
• Mira Vogelsang 1 ,
• Emily Whyte 1 &
• Philippa Margaret Dall 1  

Systematic Reviews volume  13 , Article number:  231 ( 2024 ) Cite this article

63 Accesses

4 Altmetric

Metrics details

There is a growing investment in the use of co-creation, reflected by an increase in co-created products, services, and interventions. At the same time, a growing recognition of the significance of co-creators’ experience can be detected but there is a gap in the aggregation of the literature with regard to experience. Therefore, the purpose of this scoping review is to uncover the breadth of existing empirical research on co-creation experience, how it has been defined and assessed, and its key emotional and psychological characteristics in the context of co-created products, services, or interventions among adults.

The development of the search strategy was guided by the research question, Arksey, and O’Malley’s scoping review methodology guidelines, and through collaboration with members of the Health CASCADE consortium. The results of the search and the study inclusion process will be reported in full and presented both narratively and by use of the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping review (PRISMA-ScR) flow diagram. Comprehensive searches of relevant electronic databases (e.g. Scopus) will be conducted to identify relevant papers. Snowball searches to identify additional papers through included full-text papers will be done using the artificial intelligence tool, namely, Connected Papers. All review steps will involve at least two reviewers. Studies in English, Dutch, Chinese, Spanish, and French, published from the year 1970 onwards, will be considered. Microsoft Excel software will be used to record and chart extracted data.

The resulting scoping review could provide useful insights into adult co-creators’ experience of participating in the co-creation process. An increased understanding of the role of emotional and psychological experiences of participating in co-creation processes may help to inform the co-creation process and lead to potential benefits for the co-creators and co-created outcome.

Systematic review registration

10.5281/zenodo.7665851.

Peer Review reports

Co-creation can be defined as “any act of collective creativity that involves a broad range of relevant and affected actors in creative problem-solving that aims to produce a desired outcome” [ 1 ]. Co-creation is increasingly acknowledged as a promising approach to address complex ‘wicked’ societal problems and develop more contextually relevant interventions to improve outcomes in a variety of settings [ 2 ]. By facilitating communication across sectors, integrating diverse forms of knowledge and expertise, and enabling local ownership, co-creation can be useful in a broad range of fields including, healthcare, community, and education [ 3 ].

The co-creation process is guided by participatory methodologies [ 4 ]. The goal of participatory research is to engage all those who are the subject of the research in all stages of the research [ 5 ]. Participatory research acknowledges the value of their contribution in a practical and collaborative way [ 5 ]. Co-creation builds on these participatory methodologies, to address the power imbalances stemming from social inequities and uses empowerment approaches to address and meet the needs of citizens [ 3 ]. Co-creation is more specific than the broad concept of participation, which also refers to passive involvement [ 6 ]. The ultimate goal of co-creation is to actively involve all relevant and affected stakeholders in all aspects of the co-creation process, such as planning or conducting [ 7 ].

Whilst the co-creation behaviour of participants in a co-creation process is mostly documented in the co-creation literature, the emotional and psychological experience of participating in the co-creation process has been given less attention [ 8 , 9 ]. Co-creation behaviour is argued to comprise multiple behavioural dimensions that fall under two higher-order factors, namely, participation behaviour and citizenship behaviour [ 10 ]. The behavioural dimensions of participation behaviour include information seeking and sharing, responsible behaviour, and personal interaction. The dimensions of citizenship behaviour include feedback, advocacy, helping, and tolerance [ 10 ]. On the other hand, the co-creators’ experiences of participating in the co-creation process, hereby shortened to co-creation experience, capture co-creators’ emotional and psychological states; highlight the interactive component; and involve a continuous process as opposed to a single fixed-time event [ 9 ]. In brief, the co-creation experience, as defined for the purposes of this review, is the co-creators’ emotional and psychological states during active participation and interaction when engaging in the co-creation process [ 9 ]. Co-creation experience differs from co-creation behaviour due to its focus on the feelings and cognitions derived from the act of undertaking the co-creation behaviour [ 9 ].

Research indicates that active involvement in the co-creation process can have profound positive effects on increased health and performance outcomes, satisfaction, and well-being [ 11 , 12 ]. For example, Leask et al. [ 13 ] reported older adults having positive experiences engaging with the co-creation of a health intervention, describing that participants’ role as co-researchers made it enjoyable, interesting, and rewarding. Similar findings from Rooijen et al. [ 14 ] indicated that participants felt empowered, liked the interactive characteristic of meetings, and felt they were valued contributors with a shared responsibility for the project. Positive emotional states like happiness or gratitude can foster trust, which is important for building relationships, whereas negative emotional states, like anger, uncertainty, and frustration, can decrease trust [ 15 ]. Building relationships is an important aspect of the co-creation process, in which experiencing positive emotions helps to create new relationships [ 16 ]. Therefore, positive emotions could also contribute to the functioning of the co-creation group(s) and the successful development of products like intervention components, tools, and further actions.

There are instances when co-creators can experience the co-creation process negatively. There exists some research to indicate how failed co-created services recovered can impact co-creators in terms of future intention to co-create, role clarity, and motivation [ 17 ]. However, there might be a lack of, or a lack of visibility of, literature documenting the negative emotional and psychological experiences associated with the co-creation process because of publication bias. Individual and interpersonal experience including group dynamics are central to the creation of value and innovation and this justifies the need to study the role of human experience in the context of co-creation [ 18 , 19 ]. Figure  1 provides a visual depiction of the proposed connection between co-creation experience and the other elements of co-creation.

Suggested model of the relationship between co-creation experience, processes, behaviour, outcomes, impact, and future co-creation

However, so far, there is a gap regarding the aggregation of the literature pertaining to co-creation experience. Therefore, the purpose of this scoping review is to uncover the breadth of existing empirical research on co-creation experience, how it has been defined, and assessed and its key characteristics in the context of co-created products, services, or interventions among adults. As the focus is on the participant’s experience of the process and not the outcome, no limits have been applied to the co-creation context. Scoping reviews are exploratory in nature and systematically map available literature on a broad topic to identify key concepts, theories, sources of evidence, and research gaps [ 20 ]. A scoping review has been identified as an appropriate means to address this broad research question given that, to the authors’ knowledge, there has been no systematic review of co-creation experience literature, the phenomenon is not well understood or utilised, and studies span a wide variety of fields. The aim of the current scoping review is to deliver an evidence-based review of co-creators’ experiences of co-creating. This review will guide future research to advance evidence-based co-creation methods and inform guidance aimed at enhancing positive experiences for those participating in co-creation.

Research question

What is the current state of the science regarding adult co-creators’ emotional and psychological experiences of participating in co-creation?

The objectives of this review are to:

Determine the extent of research on co-creation experience.

Uncover the range of and key characteristics of emotional and psychological experiences documented in the literature to date.

Identify any explicit or implicit underlying psychological theories drawn upon to explain the potential mechanism of the experience of co-creation.

Document any tools or technology used during the co-creation process that impacted the experience during co-creation or to make co-creation more successful .

Methodology

This scoping review protocol is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) checklist (see Additional file 1).

Search strategy

The search strategy comprises three main stages (see Fig.  2 ). The first stage involved searching the newly created Health CASCADE Co-creation Database. This database was created by members of the Health CASCADE network and was aimed at collecting in one place the entire corpus of literature pertaining to participatory research and co-creation (1). This database was created using CINAHL, PubMed and all databases accessible via ProQuest through Glasgow Caledonian University (GCU) institutional licence (17 databases in total, APA PsycArticles®, APA PsycInfo®, Art, Design & Architecture Collection, British Periodicals, Coronavirus Research Database, Early Modern Books, Ebook Central, Entertainment Industry Magazine Archive, Humanities Index, Periodicals Archive Online, ProQuest One AcademicTrial-Limited time only, PTSDpubs, SciTech Premium Collection, Social Science Premium Collection, Sports Medicine & Education Index, The Vogue Archive, and The Women's Wear Daily Archive). The key search terms used in this search strategy are found in Table  1 . ASReview, an artificial intelligence (AI) aided platform that helps find relevant records was used for screening the records to be included in this database. The AI performs a textual analysis of the provided records, based on active learning and prioritization. Given the large volume of records retrieved from PubMed, CINAHL, and all databases available through ProQuest with GCU access, AI was necessary to speed up the screening process. There are over 13,000 records contained in this database, with all titles and abstracts containing at least one of the search terms.

Stages of search strategy

The Health CASCADE Co-creation Database was searched using free-text terms relating to co-creation experience (see Table  2 ). Search terms have been developed in reference to the research question and through consultation with members of the Health CASCADE consortium. The search will be piloted to check the appropriateness of keywords and to ensure known studies are identified.

The second stage of the search strategy is to use both sets of search terms (see Tables  1 and 2 ) in Scopus using the Boolean operator AND to combine the two sets. This is to provide additional robustness to the search. Due to the large volume of records retrieved (> 35,000) when combining the two sets of search terms, it is necessary to omit some search terms used to create the Health CASCADE Co-creation Database. Four search terms will be retained “co-creat*”, “co-production”, “co-design” and “experience-based design”. These search terms are specifically chosen because co-production and co-design are commonly used interchangeably with the term co-creation [ 21 ]. In addition, “experience-based design” is retained due to the obvious focus on the experience. We will include articles that meet our inclusion criteria for co-creation, regardless of the terminology used to describe the methodology. For pragmatic reasons, sources of unpublished empirical studies (including grey literature, theses, and dissertations) will not be searched for. The draft search strategy for Scopus is available in Additional file 2.

The final stage of the search is to employ snowballing to capture any additional articles that may be potentially missed. An artificial intelligence tool called Connected Papers [ 22 ] will be used to identify papers that (1) the included paper has cited (backward reference searching), and (2) papers that have since cited the included paper (forward reference searching).

The article selection process is considered an iterative process, whereby the search strategy will be initially broad and then refined based on abstracts retrieved and as reviewer familiarity with the literature increases. The concept of co-creation is defined differently depending on the setting and context and is often used interchangeably with similar, yet distinct concepts, but equally lacking a clear universal understanding [ 21 ]. Therefore, to account for the overlaps in terminology a broad scope will be initially implemented.

As recommended by Arksey and O’Malley [ 23 ], decisions on how to set search parameters will be made after a general scope of the field has been gained. Hence, this stage will require the reviewer(s) to engage in a reflexive way and repeat steps to ensure a comprehensive literature search with more sensitive searches [ 23 , 24 ].

Inclusion/exclusion criteria

All study participants in the included papers must be adults, described as people aged 18 years and over with no upper limit. Children/adolescents are not included in this study as research indicates that there are differences between their emotional experiences in terms of emotional intensity and stability [ 25 ].

Empirical articles (i.e. primary research studies) include any qualitative, quantitative, and mixed-method research designs that include a description of the co-created product, service, or intervention and an evaluation of the co-creators’ co-creation experience. Although scoping reviews can draw on evidence from non-empirical sources, this review imposes limits to include empirical sources only as empirical sources would be most useful and appropriate for contributing to an evidence-based understanding of co-creation methods.

Any context that involves the co-creation of a product, service, or intervention will be considered.

The Health CASCADE Co-creation Database is limited to searching records between 1st January 1970 and 1st December 2021. The search in Scopus will include records from 1st January 1970 until the date of the search.

The Health CASCADE Co-creation Database is limited to only include materials that are written in English. However, for the search conducted in Scopus, publications in English, Spanish, Dutch, French, and Chinese languages will also be considered, as the research team has proficient fluency in these languages.

Data extraction

Following the database search, articles will be exported as a CSV file for removal of duplicates in Excel. The articles will be imported and screened in Rayyan. The title and abstract of all studies will be screened independently by several reviewers (LMcC, QA, QL, EW, GRL, RC, and MV) and irrelevant studies will be removed. All titles and abstracts will be double-screened. Full-text articles of studies identified as potentially relevant for inclusion will subsequently be sought and screened by several reviewers (LMcC, QA, QL, EW, GRL, RC, MV, and KM) against the agreed set of criteria. Differences of opinion regarding inclusion or exclusion will be resolved by discussion and reaching a consensus or by a third reviewer. The results of the search and the study inclusion process will be reported in full in the final scoping review and presented both narratively and by use of the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for scoping review (PRISMA-ScR) flow diagram.

To determine the extent of research on co-creation experience (objective 1), details about co-creation more generally will first be extracted. This includes:

Study’s definition of co-creation and co-creation experience (if available).

The context or setting.

Data about the participants (number, type, and characteristics of co-creators’ involved).

Description of the co-creation process undertaken (including number of sessions, level of participation).

Purpose of co-creation.

Outcome of the co-created intervention, service, or product.

The key characteristics of psychological and emotional experience including positive and negative components (objective 2) will be extracted.

The psychological theory underpinning the co-creation experience identified by the authors of the studies (objective 3) will be recorded.

Information about the technology or tools that had an impact on the co-creation experience (objective 4) will be extracted.

Additional descriptive information such as discipline and date of publication will also be extracted.

The above-extracted information will be entered into an Excel spreadsheet developed by the authors. This data extraction Excel spreadsheet may be modified and revised as necessary during the process of extracting data from the included evidence sources to ensure that key findings relevant to the review question are addressed.

Quality assessment

There exists debate as to whether a scoping review should contain an assessment of study quality [ 26 ]. A quality assessment component will be included in this review in relation to the sufficiency of reporting the process of co-creating an intervention, service, or product. This tool (see Table  3 ) has been adapted from Leask et al.’s [ 4 ] ‘checklist for reporting intervention co-creation’ and Eyles et al.’s [ 27 ] amended version of a checklist for reporting non-pharmacological interventions. The reason for including this checklist is two-fold. Firstly, the scoping review may contain a variety of study designs and the focus is not solely on the outcomes, but rather on the process [ 27 ]. Secondly, as explained above, the concept of co-creation is used interchangeably with other similar overlapping concepts, such that some processes may be described as co-creation when they are in fact not (according to the definition used in this review) or vice versa. Therefore, by incorporating this checklist, it will become clearer as to the type or extent of co-creation processes that were implemented and whether they were clearly reported within each individual source of empirical evidence. However, given that a scoping review aims to present an overview of the extant literature on a particular topic without synthesis from individual studies, no study will be excluded on the basis of the quality of reporting co-created interventions.

Strategy for data analysis

The PRISMA-ScR will be used to guide the reporting of the scoping review [ 28 ]. Whilst, the synthesis of the results from included sources of evidence is more appropriately done with a systematic review, the analysis of data in scoping reviews is generally descriptive in nature [ 29 ]. A narrative summary of extracted data will be produced along with the tabulated and/or charted results described in relation to the review question and objectives. Descriptive techniques, such as basic coding of data to particular categories, are recommended as a useful approach when the purpose is to identify concepts or key characteristics related to the concept [ 20 ]. Data will be analysed using the well-established method of thematic analysis [ 30 ]. This method is characterised by identifying and reporting recurring themes within the data and is a suitable analytic method because it allows for patterns of experience to be recorded, such as understanding adults’ experiences of participating in co-creation. We intend to extract relevant co-creation experience data from the result sections of articles, including verbatim participant quotations. For quantitative data, such as questionnaires, we will attempt to extract the item statements and code them alongside the qualitative data.

The purpose of this scoping review is to uncover the breadth of existing empirical research on co-creation experience with a focus on emotional aspects and from a psychological perspective. An increased understanding of the role of experiences of participating in co-creation processes may help to inform the development and use of co-creation processes and lead to potential benefits for the co-creators’ and co-created outcome.

This scoping review has some limitations, which reflect the balance between conducting a wide search to discover the breadth of existing literature and the pragmatic constraints of conducting the review. This scoping review searches for published peer-reviewed work from SCOPUS and the Health CASCADE Co-creation Database. Other databases could be searched but for pragmatic reasons, these two databases were selected for their breadth and relevancy. Another limitation is that it was necessary to restrict the search terms for capturing ‘co-creation’ for the search in Scopus to maintain a manageable number of records retrieved to screen by the research team. However, authors may use different terms or descriptions. For instance, variations of terms like co-creation, co-design, and co-production, whether written with a dash or space can affect the number of articles retrieved. Boundaries on the search terms relating to experience were also formed, for example, specific emotions were not included in the search string, due to the large range of possible emotions that can be experienced, which would make the search unwieldy. We also have not used any of the advanced search features of the databases, such as proximity searching, which could potentially improve the specificity.

A strength of this review is the comprehensive snowballing search strategy to capture additional relevant papers. The results will be submitted to a peer-reviewed journal and to scientific conferences. The plan for dissemination includes digital science communication platforms and presentations.

Availability of data and materials

Not applicable.

Abbreviations

Artificial intelligence

Preferred reporting items for systematic review and meta-analysis protocols

Preferred reporting items for systematic review and meta-analysis–extension for scoping reviews

Agnello DM, Loisel QEA, An Q, et al. Establishing a health CASCADE–curated open-access database to consolidate knowledge about co-creation: novel artificial intelligence–assisted methodology based on systematic reviews. J Med Internet Res. 2023;25(1): e45059. https://doi.org/10.2196/45059 .

Article   PubMed   PubMed Central   Google Scholar  

von Heimburg D, Cluley V. Advancing complexity-informed health promotion: a scoping review to link health promotion and co-creation. Health Promot Int. 2020;36(2):581–600.

Article   Google Scholar  

Sherriff S, Miller H, Tong A, Williamson A, Muthayya S, Sally R, et al. Building trust and sharing power for co-creation in Aboriginal health research: a stakeholder interview study. Evid Policy J Res Debate Pract. 2019.

Leask CF, Sandlund M, Skelton DA, Altenburg TM, Cardon G, Chinapaw MJM, et al. Framework, principles and recommendations for utilising participatory methodologies in the co-creation and evaluation of public health interventions. Res Involv Engagem. 2019;5(1):2.

Wright MT, Springett J, Kongats K. What is participatory health research? In: Wright MT, Kongats K, editors. Participatory Health Research. Cham: Springer International Publishing; 2018.

Voorberg WH, Bekkers VJJM, Tummers LG. A systematic review of co-creation and co-production: Embarking on the social innovation journey. Public Manag Rev. 2015;17(9):1333–57.

Torfing J, Sørensen E, Røiseland A. Transforming the public sector into an arena for co-creation: Barriers, drivers, benefits, and ways forward. Adm Soc. 2016;51(5):795–825.

Leclercq T, Hammedi W, Poncin I. Ten years of value cocreation: an integrative review. Rech Appl En Mark Engl Ed. 2016;31(3):26–60.

Google Scholar  

Zhang P, Meng F, So KKF. Cocreation experience in peer-to-peer accommodations: Conceptualization and scale development. J Travel Res. 2021;60(6):1333–51.

Yi Y, Gong T. Customer value co-creation behavior: scale development and validation. J Bus Res. 2012;66(9):1279–84.

Partouche-Sebban J, Rezaee Vessal S, Bernhard F. When co-creation pays off: the effect of co-creation on well-being, work performance and team resilience. J Bus Ind Mark. 2021;37(8).

Sharma S, Conduit J, Rao HS. Hedonic and eudaimonic well-being outcomes from co-creation roles: a study of vulnerable customers. J Serv Mark. 2017;31(4/5):397–411.

Leask CF, Sandlund M, Skelton DA, Chastin SF. Co-creating a tailored public health intervention to reduce older adults’ sedentary behaviour. Health Educ J. 2017;76(5):595–608.

van Rooijen M, Lenzen S, Dalemans R, Beurskens A, Moser A. Stakeholder engagement from problem analysis to implementation strategies for a patient-reported experience measure in disability care: a qualitative study on the process and experiences. Health Expect. 2021;24(1):53–65.

Article   PubMed   Google Scholar  

Dunn JR, Schweitzer ME. Feeling and believing: the influence of emotion on trust. J Personal Soc Psychol Manag Proc. 2005;88(5):736–48.

Waugh CE, Fredrickson BL. Nice to know you: positive emotions, self–other overlap, and complex understanding in the formation of a new relationship. J Posit Psychol. 2006;1(2):93–106.

Dong B, Evans KR, Zou S. The effects of customer participation in co-created service recovery. J Acad Mark Sci. 2008;36(1):123–37.

Ramaswamy V. It’s about human experiences… and beyond, to co-creation. Ind Mark Manag. 2011;40(2):195–6.

Ramaswamy V. Co-creation of value — towards an expanded paradigm of value creation. Mark Rev St Gallen. 2009;26(6):11–7.

Peters MDJ, Marnie C, Tricco AC, Pollock D, Munn Z, Alexander L, et al. Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth. 2020Oct;18(10):2119–26.

Halvorsrud K, Kucharska J, Adlington K, Rüdell K, Brown Hajdukova E, Nazroo J, et al. Identifying evidence of effectiveness in the co-creation of research: a systematic review and meta-analysis of the international healthcare literature. J Public Health. 2021;43(1):197–208.

Tarnavsky-Eitan, A, Smolyansky E, Knaan-Harpaz I, Perets S. Connected Papers. 2020. https://www.connectedpapers.com/about . Accessed 26 May 2022.

Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8(1):19–32.

Levac D, Colquhoun H, O’Brien KK. Scoping studies: Advancing the methodology. Implement Sci. 2010;5(1):69.

Bailen NH, Green LM, Thompson RJ. Understanding emotion in adolescents: a review of emotional frequency, intensity, instability, and clarity. Emot Rev. 2019;11(1):63–73.

Pham MT, Rajić A, Greig JD, Sargeant JM, Papadopoulos A, McEwen SA. A scoping review of scoping reviews: advancing the approach and enhancing the consistency. Res Synth Methods. 2014;5(4):371–85.

Eyles H, Jull A, Dobson R, Firestone R, Whittaker R, Te Morenga L, et al. Co-design of mHealth delivered interventions: a systematic review to assess key methods and processes. Curr Nutr Rep. 2016;5(3):160–7.

Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.

Aromataris E, Munn Z. Chapter 11: Scoping reviews. In: JBI Manual for Evidence Synthesis. JBI; 2020.

Braun V, Clarke V. Thematic analysis: a practical guide. 1st ed. Thousand Oaks: SAGE Publications Ltd; 2021.

Download references

Acknowledgements

The Health CASCADE consortium.

The PhD studies of Lauren McCaffrey are funded by the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement n° 956501.

Author information

Authors and affiliations.

School of Health and Life Sciences, Glasgow Caledonian University, Glasgow, UK

Lauren McCaffrey, Bryan McCann, Sebastien François Martin Chastin, Quentin Loisel, Mira Vogelsang, Emily Whyte & Philippa Margaret Dall

Faculty of Psychology, Education and Sport Sciences Blanquerna, Universitat Ramon Llull, Barcelona, Spain

Maria Giné-Garriga & Giuliana Raffaella Longworth

Department of Community Medicine and Rehabilitation, Umeå University, Umeå, Sweden

Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium

Greet Cardon, Sebastien François Martin Chastin & Rabab Chrifou

Department of Psychology and Methods, Jacobs University Bremen, Bremen, Germany

Sonia Lippke

Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

Katrina Messiha

You can also search for this author in PubMed   Google Scholar

Contributions

LMcC coordinated and conceived the study. LMcC, PMD, BMcC, and MGG have made substantive contributions to developing this protocol and the review question. LMcC, PMD, BMcC, MGG, QA, QL, EW, GRL, MV, RC, and KM jointly developed the search strategy. LMcC drafted the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Lauren McCaffrey .

Ethics declarations

Ethics approval and consent to participate, consent for publication, competing interests.

The authors declare that they have no competing interests.

Additional information

Publisher’s note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1: prisma-p 2015 checklist., additional file 2: search strategy–scopus., rights and permissions.

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ .

Reprints and permissions

About this article

Cite this article.

McCaffrey, L., McCann, B., Giné-Garriga, M. et al. Adult co-creators’ emotional and psychological experiences of the co-creation process: a Health CASCADE scoping review protocol. Syst Rev 13 , 231 (2024). https://doi.org/10.1186/s13643-024-02643-9

Download citation

Received : 10 August 2022

Accepted : 22 August 2024

Published : 11 September 2024

DOI : https://doi.org/10.1186/s13643-024-02643-9

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Co-creation experience
• Psychological response
• Scoping review

Systematic Reviews

ISSN: 2046-4053

• Submission enquiries: Access here and click Contact Us
• General enquiries: [email protected]

Empirical Research

Introduction, what is empirical research, attribution.

• Finding Empirical Research in Library Databases
• Designing Empirical Research
• Case Sudies

Empirical research is based on observed and measured phenomena and derives knowledge from actual experience rather than from theory or belief. 

How do you know if a study is empirical? Read the subheadings within the article, book, or report and look for a description of the research "methodology."  Ask yourself: Could I recreate this study and test these results?

Key characteristics to look for:

• Specific research questions to be answered
• Definition of the population, behavior, or   phenomena being studied
• Description of the process used to study this population or phenomena, including selection criteria, controls, and testing instruments (such as surveys)

Another hint: some scholarly journals use a specific layout, called the "IMRaD" format, to communicate empirical research findings. Such articles typically have 4 components:

• Introduction : sometimes called "literature review" -- what is currently known about the topic -- usually includes a theoretical framework and/or discussion of previous studies
• Methodology: sometimes called "research design" -- how to recreate the study -- usually describes the population, research process, and analytical tools
• Results : sometimes called "findings" -- what was learned through the study -- usually appears as statistical data or as substantial quotations from research participants
• Discussion : sometimes called "conclusion" or "implications" -- why the study is important -- usually describes how the research results influence professional practices or future studies

Portions of this guide were built using suggestions from other libraries, including Penn State and Utah State University libraries.

• Next: Finding Empirical Research in Library Databases >>
• Last Updated: Sep 9, 2024 2:14 PM
• URL: https://enmu.libguides.com/EmpiricalResearch