empirical vs non empirical research

BY 499 - Senior Seminar

• Library Catalog(s)
• Searching Tips and Source Evaluation
• Article Databases
• Writing Style - APA
• Empirical v. Non-Empirical Research
• Poster Design
• How Did We Do?

Subject Guide

Biology Articles

Primary Databases

Featuring thousands of full-text journals, this collection of scholarly trade and popular articles offers information on a broad range of important areas including: anthropology, biology, chemistry, ethnic & multicultural studies, law, mathematics, music, psychology, women's studies, and many other fields. Part of the Database Offerings in GALILEO, Georgia’s Virtual Library

ProQuest Research Library™ provides access to more than 5,060 titles —over 3,600 in full text— on a wide range of popular academic subjects. The database features a diversified mix of scholarly journals, trade publications, magazines, and newspapers.  Part of the Database Offerings in GALILEO, Georgia’s Virtual Library

The National Science Digital Library (NSDL) was created by the National Science Foundation to provide organized access to high quality resources and tools that support innovations in teaching and learning at all levels of science, technology, engineering, and mathematics education. Part of the database offerings in GALILEO, Georgia's virtual library.

This database contains more than 820 leading full-text journals covering relevant aspects of the scientific and technical community. In addition to full text, Science & Technology Collection™ offers indexing and abstracts for more than 1,750 journals. Topics include aeronautics, astrophysics, biology, chemistry, computer technology, geology, aviation, physics, archaeology, marine sciences and materials science. Part of the Database Offerings in GALILEO, Georgia’s Virtual Library

A leading full-text scientific database covering the life and health sciences.

How to Make a Poster

• Designing Conference Posters & Poster Templates

Empirical Versus Non-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)
• Author(s) present a new set of findings from original research after conducting an original experiment
• Firsthand collection of data

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 or variables to be researched, 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

Here are some common characteristics of review articles:

• Author(s) analyze and summarize existing research
• Author(s) did NOT do original research. They are summarizing work of others.
• Often focus on a general topic (such as breast cancer treatment) and bring together all relevant, useful articles on that topic in one review article.
• Do not contain sections such as Methods (and Materials), Results because they did not do any original research!

Fermentation and quality of yellow pigments from golden brown rice solid culture by a selected Monascus mutant.

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• What is Empirical Research Study? [Examples & Method]

The bulk of human decisions relies on evidence, that is, what can be measured or proven as valid. In choosing between plausible alternatives, individuals are more likely to tilt towards the option that is proven to work, and this is the same approach adopted in empirical research. 

In empirical research, the researcher arrives at outcomes by testing his or her empirical evidence using qualitative or quantitative methods of observation, as determined by the nature of the research. An empirical research study is set apart from other research approaches by its methodology and features hence; it is important for every researcher to know what constitutes this investigation method. 

What is Empirical Research? 

Empirical research is a type of research methodology that makes use of verifiable evidence in order to arrive at research outcomes. In other words, this  type of research relies solely on evidence obtained through observation or scientific data collection methods. 

Empirical research can be carried out using qualitative or quantitative observation methods , depending on the data sample, that is, quantifiable data or non-numerical data . Unlike theoretical research that depends on preconceived notions about the research variables, empirical research carries a scientific investigation to measure the experimental probability of the research variables 

Characteristics of Empirical Research

• Research Questions

An empirical research begins with a set of research questions that guide the investigation. In many cases, these research questions constitute the research hypothesis which is tested using qualitative and quantitative methods as dictated by the nature of the research.

In an empirical research study, the research questions are built around the core of the research, that is, the central issue which the research seeks to resolve. They also determine the course of the research by highlighting the specific objectives and aims of the systematic investigation. 

• Definition of the Research Variables

The research variables are clearly defined in terms of their population, types, characteristics, and behaviors. In other words, the data sample is clearly delimited and placed within the context of the research. 

• Description of the Research Methodology

 An empirical research also clearly outlines the methods adopted in the systematic investigation. Here, the research process is described in detail including the selection criteria for the data sample, qualitative or quantitative research methods plus testing instruments. 

An empirical research is usually divided into 4 parts which are the introduction, methodology, findings, and discussions. The introduction provides a background of the empirical study while the methodology describes the research design, processes, and tools for the systematic investigation. 

The findings refer to the research outcomes and they can be outlined as statistical data or in the form of information obtained through the qualitative observation of research variables. The discussions highlight the significance of the study and its contributions to knowledge. 

Uses of Empirical Research

Without any doubt, empirical research is one of the most useful methods of systematic investigation. It can be used for validating multiple research hypotheses in different fields including Law, Medicine, and Anthropology. 

• Empirical Research in Law : In Law, empirical research is used to study institutions, rules, procedures, and personnel of the law, with a view to understanding how they operate and what effects they have. It makes use of direct methods rather than secondary sources, and this helps you to arrive at more valid conclusions.
• Empirical Research in Medicine : In medicine, empirical research is used to test and validate multiple hypotheses and increase human knowledge.
• Empirical Research in Anthropology : In anthropology, empirical research is used as an evidence-based systematic method of inquiry into patterns of human behaviors and cultures. This helps to validate and advance human knowledge.

Discover how Extrapolation Powers statistical research: Definition, examples, types, and applications explained.

The Empirical Research Cycle

The empirical research cycle is a 5-phase cycle that outlines the systematic processes for conducting and empirical research. It was developed by Dutch psychologist, A.D. de Groot in the 1940s and it aligns 5 important stages that can be viewed as deductive approaches to empirical research. 

In the empirical research methodological cycle, all processes are interconnected and none of the processes is more important than the other. This cycle clearly outlines the different phases involved in generating the research hypotheses and testing these hypotheses systematically using the empirical data. 

• Observation: This is the process of gathering empirical data for the research. At this stage, the researcher gathers relevant empirical data using qualitative or quantitative observation methods, and this goes ahead to inform the research hypotheses.
• Induction: At this stage, the researcher makes use of inductive reasoning in order to arrive at a general probable research conclusion based on his or her observation. The researcher generates a general assumption that attempts to explain the empirical data and s/he goes on to observe the empirical data in line with this assumption.
• Deduction: This is the deductive reasoning stage. This is where the researcher generates hypotheses by applying logic and rationality to his or her observation.
• Testing: Here, the researcher puts the hypotheses to test using qualitative or quantitative research methods. In the testing stage, the researcher combines relevant instruments of systematic investigation with empirical methods in order to arrive at objective results that support or negate the research hypotheses.
• Evaluation: The evaluation research is the final stage in an empirical research study. Here, the research outlines the empirical data, the research findings and the supporting arguments plus any challenges encountered during the research process.

This information is useful for further research. 

Learn about qualitative data: uncover its types and examples here.

Examples of Empirical Research 

• An empirical research study can be carried out to determine if listening to happy music improves the mood of individuals. The researcher may need to conduct an experiment that involves exposing individuals to happy music to see if this improves their moods.

The findings from such an experiment will provide empirical evidence that confirms or refutes the hypotheses. 

• An empirical research study can also be carried out to determine the effects of a new drug on specific groups of people. The researcher may expose the research subjects to controlled quantities of the drug and observe research subjects to controlled quantities of the drug and observe the effects over a specific period of time to gather empirical data.
• Another example of empirical research is measuring the levels of noise pollution found in an urban area to determine the average levels of sound exposure experienced by its inhabitants. Here, the researcher may have to administer questionnaires or carry out a survey in order to gather relevant data based on the experiences of the research subjects.
• Empirical research can also be carried out to determine the relationship between seasonal migration and the body mass of flying birds. A researcher may need to observe the birds and carry out necessary observation and experimentation in order to arrive at objective outcomes that answer the research question.

Empirical Research Data Collection Methods

Empirical data can be gathered using qualitative and quantitative data collection methods. Quantitative data collection methods are used for numerical data gathering while qualitative data collection processes are used to gather empirical data that cannot be quantified, that is, non-numerical data. 

The following are common methods of gathering data in empirical research

• Survey/ Questionnaire

A survey is a method of data gathering that is typically employed by researchers to gather large sets of data from a specific number of respondents with regards to a research subject. This method of data gathering is often used for quantitative data collection , although it can also be deployed during quantitative research.

A survey contains a set of questions that can range from close-ended to open-ended questions together with other question types that revolve around the research subject. A survey can be administered physically or with the use of online data-gathering platforms like Formplus. 

Empirical data can also be collected by carrying out an experiment. An experiment is a controlled simulation in which one or more of the research variables is manipulated using a set of interconnected processes in order to confirm or refute the research hypotheses.

An experiment is a useful method of measuring causality; that is cause and effect between dependent and independent variables in a research environment. It is an integral data gathering method in an empirical research study because it involves testing calculated assumptions in order to arrive at the most valid data and research outcomes. 

T he case study method is another common data gathering method in an empirical research study. It involves sifting through and analyzing relevant cases and real-life experiences about the research subject or research variables in order to discover in-depth information that can serve as empirical data.

• Observation

The observational method is a method of qualitative data gathering that requires the researcher to study the behaviors of research variables in their natural environments in order to gather relevant information that can serve as empirical data.

How to collect Empirical Research Data with Questionnaire

With Formplus, you can create a survey or questionnaire for collecting empirical data from your research subjects. Formplus also offers multiple form sharing options so that you can share your empirical research survey to research subjects via a variety of methods.

Here is a step-by-step guide of how to collect empirical data using Formplus:

Sign in to Formplus

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

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

Unlock the secrets of Quantitative Data: Click here to explore the types and examples.

Edit Form Title

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

Edit Form  

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

Customize Form

Formplus allows you to add unique features to your empirical research survey form. You can personalize your survey using various customization options. Here, you can add background images, your organization’s logo, and use other styling options. You can also change the display theme of your form. 

• Share your Form Link with Respondents

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

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

Empirical vs Non-Empirical Research

Empirical and non-empirical research are common methods of systematic investigation employed by researchers. Unlike empirical research that tests hypotheses in order to arrive at valid research outcomes, non-empirical research theorizes the logical assumptions of research variables. 

Definition: Empirical research is a research approach that makes use of evidence-based data while non-empirical research is a research approach that makes use of theoretical data. 

Method: In empirical research, the researcher arrives at valid outcomes by mainly observing research variables, creating a hypothesis and experimenting on research variables to confirm or refute the hypothesis. In non-empirical research, the researcher relies on inductive and deductive reasoning to theorize logical assumptions about the research subjects.

The major difference between the research methodology of empirical and non-empirical research is while the assumptions are tested in empirical research, they are entirely theorized in non-empirical research. 

Data Sample: Empirical research makes use of empirical data while non-empirical research does not make use of empirical data. Empirical data refers to information that is gathered through experience or observation. 

Unlike empirical research, theoretical or non-empirical research does not rely on data gathered through evidence. Rather, it works with logical assumptions and beliefs about the research subject. 

Data Collection Methods : Empirical research makes use of quantitative and qualitative data gathering methods which may include surveys, experiments, and methods of observation. This helps the researcher to gather empirical data, that is, data backed by evidence.  

Non-empirical research, on the other hand, does not make use of qualitative or quantitative methods of data collection . Instead, the researcher gathers relevant data through critical studies, systematic review and meta-analysis. 

Advantages of Empirical Research 

• Empirical research is flexible. In this type of systematic investigation, the researcher can adjust the research methodology including the data sample size, data gathering methods plus the data analysis methods as necessitated by the research process.
• It helps the research to understand how the research outcomes can be influenced by different research environments.
• Empirical research study helps the researcher to develop relevant analytical and observation skills that can be useful in dynamic research contexts.
• This type of research approach allows the researcher to control multiple research variables in order to arrive at the most relevant research outcomes.
• Empirical research is widely considered as one of the most authentic and competent research designs.
• It improves the internal validity of traditional research using a variety of experiments and research observation methods.

Disadvantages of Empirical Research 

• An empirical research study is time-consuming because the researcher needs to gather the empirical data from multiple resources which typically takes a lot of time.
• It is not a cost-effective research approach. Usually, this method of research incurs a lot of cost because of the monetary demands of the field research.
• It may be difficult to gather the needed empirical data sample because of the multiple data gathering methods employed in an empirical research study.
• It may be difficult to gain access to some communities and firms during the data gathering process and this can affect the validity of the research.
• The report from an empirical research study is intensive and can be very lengthy in nature.

Conclusion 

Empirical research is an important method of systematic investigation because it gives the researcher the opportunity to test the validity of different assumptions, in the form of hypotheses, before arriving at any findings. Hence, it is a more research approach. 

There are different quantitative and qualitative methods of data gathering employed during an empirical research study based on the purpose of the research which include surveys, experiments, and various observatory methods. Surveys are one of the most common methods or empirical data collection and they can be administered online or physically. 

You can use Formplus to create and administer your online empirical research survey. Formplus allows you to create survey forms that you can share with target respondents in order to obtain valuable feedback about your research context, question or subject. 

In the form builder, you can add different fields to your survey form and you can also modify these form fields to suit your research process. Sign up to Formplus to access the form builder and start creating powerful online empirical research survey forms. 

Connect to Formplus, Get Started Now - It's Free!

• advantage of empirical research
• disadvantages of empirical resarch
• empirical research characteristics
• empirical research cycle
• empirical research method
• example of empirical research
• uses of empirical research
• busayo.longe

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Empirical Research: Advantages, Drawbacks and Differences with Non-Empirical Research

Based on the purpose and available resources, researchers conduct empirical or non-empirical research. Researchers employ both of these methods in various fields using qualitative, quantitative, or secondary data. Let's look at the characteristics of empirical research and see how it is different from non-empirical research.

The empirical study is evidence-based research. That is to say, it uses evidence, experiment, or observation to test the hypotheses. It is a systematic collection and analysis of data. Empirical research allows researchers to find new and thorough insights into the issue.  Mariam-Webster dictionary defines the word "empirical" as:

                "originating in or based on observation or experience"

               "relying on experience or observation alone often without due regard for system and theory"

               "capable of being verified or disproved by observation or experiment"

Unlike non-empirical research, it does not just rely on theories but also tries to find the reasoning behind those theories in order to prove them. Non-empirical research is based on theories and logic, and researchers don't attempt to test them.  Although empirical research mostly depends on primary data, secondary data can also be beneficial for the theory side of the research.  The empirical research process includes the following:

• Defining the issue
• Theory generation and research questions
• If available, studying existing theories about the issue
• Choosing appropriate data collection methods  such as experiment or observation
• Data gathering
• Data coding , analysis, and evaluation
• Data Interpretation and result
• Reporting and publishing  the findings

Benefits of empirical research

• Empirical research aims to find the meaning behind a particular phenomenon. In other words, it seeks answers to how and why something works the way it is.
• By identifying the reasons why something happens, it is possible to replicate or prevent similar events.
• The flexibility of the research allows the researchers to change certain aspects of the research and adjust them to new goals. 
• It is more reliable because it represents a real-life experience and not just theories.
• Data collected through empirical research may be less biased because the researcher is there during the collection process. In contrast, it is sometimes impossible to verify the accuracy of data in non-empirical research.

Drawbacks of empirical research

• It can be time-consuming depending on the research subject.
• It is not a cost-effective way of data collection in most cases because of the possible expensive methods of data gathering. Moreover, it may require traveling between multiple locations.
• Lack of evidence and research subjects may not yield the desired result. A small sample size prevents generalization because it may not be enough to represent the target audience.
• It isn't easy to get information on sensitive topics, and also, researchers may need participants' consent to use the data.

In most scientific fields, acting based solely on theories (or logic) is not enough. Empirical research makes it possible to measure the reliability of the theory before applying it. Researchers sometimes alternate between the two forms of research, as non-empirical research provides them with important information about the phenomenon, while empirical research helps them use that information to test the theory.

Quantitative and Empirical Research vs. Other Types of Research: Quantitative Research

• Quantitative Research
• Other Types of Research
• What are Scholarly Journals?

     P rofessors often want you to use scholarly journal articles for your assignments.

     Sometimes, they will require you to use scholarly journal articles that contain quantitative research .

DEFINITIONS

QUANTITATIVE

     Quantitative research looks at factors that can actually be measured in some way, in other words, quantified . It produces numerical results that can be analyzed statistically.

     Quantitative research commonly involves experimentation, surveys, or questionnaires in the context of a large, randomly selected group.

     The term  empirical research  is often used as a synonym for quantitative research, but strictly speaking, empirical research is simply any form of research based upon direct observation. It might also be quantitative, but it might not.

PLEASE NOTE: Some professors use these two terms interchangeably.  When this occurs, they are usually referring to articles that fit the quantitative description above.

HINT: Don't use the words "quantitative" or "empirical" in your keyword searches.  They usually do not appear in article titles, abstracts, or subject words.  Instead, check the articles you find to see if some sort of numerical measuring and statistical analysis is present along with the characteristics listed on the right.

CHARACTERISTICS OF QUANTITATIVE RESEARCH

      W atch for these features when determining if an article has quantitative research. They may appear in the abstract, or you may need to skim the text of the article to find them.

• Introduction : a statement of background or purpose (what was being studied and why). May review prior studies on the same topic.
• Description of the design and/or method of the study (the experimental group or sample , control, variables, number of test subjects, test conditions, etc.)
• Results , or report of the findings (in numeric form as tables, charts, or graphs, etc., often with statistical analysis)
• Conclusions that can be drawn from the results (may be labeled  discussion or significance )
• Footnotes and/or a bibliography
• Author credentials (degrees earned, where they work, etc.)  

SAMPLE QUANTITATIVE RESEARCH ARTICLES

• Relations Between Trait Impulsivity, Behavioral Impulsivity, Physiological Arousal, and Risky Sexual Behavior Among Young Men
• Nocturnal Heart Rate Variability in Patients Treated with Cognitive–Behavioral Therapy for Insomnia.
• Characterisation of Mainstream and Passive Vapors Emitted by Selected Electronic Cigarettes

• Next: Other Types of Research >>
• Last Updated: Apr 6, 2023 8:16 AM
• URL: https://libguides.csusb.edu/quantitative

Non-Empirical Research

Non-Empirical Research articles focus more on theories, methods and their implications for education research. Non-Empirical Research can include comprehensive reviews and articles that focus on methodology. It should rely on empirical research literature as well but does not need to be essentially data-driven.

The title page should:

• present a title that includes, if appropriate, the research design
• if a collaboration group should be listed as an author, please list the Group name as an author and include the names of the individual members of the Group in the “Acknowledgements” section in accordance with the instructions below
• indicate the corresponding author
• Declarations: all manuscripts must contain the following sections under the heading 'Declarations': 1. Availability of data and material 2.Competing interests 3. Funding 4. Authors' contributions 5. Acknowledgements 6. Authors' information (optional) Please see below for details on the information to be included in these sections. If any of the sections are not relevant to your manuscript, please include the heading and write 'Not applicable' for that section. 1. Availability of data and materials All manuscripts must include an ‘Availability of data and materials’ statement. Data availability statements should include information on where data supporting the results reported in the article can be found including, where applicable, hyperlinks to publicly archived datasets analysed or generated during the study. By data we mean the minimal dataset that would be necessary to interpret, replicate and build upon the findings reported in the article. We recognise it is not always possible to share research data publicly, for instance when individual privacy could be compromised, and in such instances data availability should still be stated in the manuscript along with any conditions for access. Data availability statements can take one of the following forms (or a combination of more than one if required for multiple datasets):
• The datasets generated and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]
• The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
• All data generated or analysed during this study are included in this published article [and its supplementary information files].
• The datasets generated and/or analysed during the current study are not publicly available due [REASON WHY DATA ARE NOT PUBLIC] but are available from the corresponding author on reasonable request.
• Data sharing is not applicable to this article as no datasets were generated or analysed during the current study.
• The data that support the findings of this study are available from [third party name] but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of [third party name].
• Not applicable. If your manuscript does not contain any data, please state 'Not applicable' in this section.

More examples of template data availability statements, which include examples of openly available and restricted access datasets, are available  here .

SpringerOpen  also requires that authors cite any publicly available data on which the conclusions of the paper rely in the manuscript. Data citations should include a persistent identifier (such as a DOI) and should ideally be included in the reference list. Citations of datasets, when they appear in the reference list, should include the minimum information recommended by DataCite and follow journal style. Dataset identifiers including DOIs should be expressed as full URLs. For example:

Hao Z, AghaKouchak A, Nakhjiri N, Farahmand A. Global integrated drought monitoring and prediction system (GIDMaPS) data sets. figshare. 2014.  http://dx.doi.org/10.6084/m9.figshare.853801

With the corresponding text in the Availability of data and materials statement:

The datasets generated during and/or analysed during the current study are available in the [NAME] repository, [PERSISTENT WEB LINK TO DATASETS]. [Reference number]

2. Competing interests

All financial and non-financial competing interests must be declared in this section.

See our  editorial policies  for a full explanation of competing interests. If you are unsure whether you or any of your co-authors have a competing interest please contact the editorial office.

Please use the authors’ initials to refer to each authors' competing interests in this section.

If you do not have any competing interests, please state "The authors declare that they have no competing interests" in this section.

All sources of funding for the research reported should be declared. The role of the funding body in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript should be declared.

4. Authors' contributions

The individual contributions of authors to the manuscript should be specified in this section. Guidance and criteria for authorship can be found in our  editorial policies .

Please use initials to refer to each author's contribution in this section, for example: "FC analyzed and interpreted the patient data regarding the hematological disease and the transplant. RH performed the histological examination of the kidney, and was a major contributor in writing the manuscript. All authors read and approved the final manuscript."

5. Acknowledgements

Please acknowledge anyone who contributed towards the article who does not meet the criteria for authorship including anyone who provided professional writing services or materials.

Authors should obtain permission to acknowledge from all those mentioned in the Acknowledgements section.

See our  editorial policies  for a full explanation of acknowledgements and authorship criteria.

If you do not have anyone to acknowledge, please write "Not applicable" in this section.

Group authorship (for manuscripts involving a collaboration group): if you would like the names of the individual members of a collaboration Group to be searchable through their individual PubMed records, please ensure that the title of the collaboration Group is included on the title page and in the submission system and also include collaborating author names as the last paragraph of the “Acknowledgements” section. Please add authors in the format First Name, Middle initial(s) (optional), Last Name. You can add institution or country information for each author if you wish, but this should be consistent across all authors.

6. Authors' information : This section is optional.

You may choose to use this section to include any relevant information about the author(s) that may aid the reader's interpretation of the article, and understand the standpoint of the author(s). This may include details about the authors' qualifications, current positions they hold at institutions or societies, or any other relevant background information. Please refer to authors using their initials. Note this section should not be used to describe any competing interests

Blinded Manuscript

Abstract The abstract should briefly summarize the aim, findings or purpose of the article. Please minimize the use of abbreviations and do not cite references in the abstract.

See the criteria section for this article type (located at the top of this page) for information on article word limits.

Three to ten keywords representing the main content of the article.

Introduction

The Introduction section should explain the background to the article, its aims, a summary of a search of the existing literature and the issue under discussion.

This should contain the body of the article, and may also be broken into subsections with short, informative headings.

Conclusions

This should state clearly the main conclusions and include an explanation of their relevance or importance to the field.

List of abbreviations

If abbreviations are used in the text they should be defined in the text at first use, and a list of abbreviations should be provided.

Examples of the American Psychological Association (APA) reference style are shown below. For further guidance, see the Publication Manual of the American Psychological Association and the respective web site of the Association ( http://www.apastyle.org/ ).

See our editorial policies for author guidance on good citation practice.

Web links and URLs: All web links and URLs, including links to the authors' own websites, should be given a reference number and included in the reference list rather than within the text of the manuscript. They should be provided in full, including both the title of the site and the URL, as well as the date the site was accessed, in the following format: The Mouse Tumor Biology Database. http://tumor.informatics.jax.org/mtbwi/index.do . Accessed 20 May 2013. If an author or group of authors can clearly be associated with a web link, such as for weblogs, then they should be included in the reference.

Example reference style:

Article within a journal

Harris, M., Karper, E., Stacks, G., Hoffman, D., DeNiro, & R., Cruz, P. (2001). Writing labs and the Hollywood connection. Journal of Film Writing , 44 (3), 213-245.

Article by DOI (with page numbers)

Slifka, M.K., & Whitton, J.L. (2000). Clinical implications of dysregulated cytokine production. Journal of Molecular Medicine , 78 (2), 74-80. doi:10.1007/s001090000086.

Article by DOI (before issue publication and without page numbers)

Kreger, M., Brindis, C.D., Manuel, D.M., & Sassoubre, L. (2007). Lessons learned in systems change initiatives: benchmarks and indicators. American Journal of Community Psychology . doi: 10.1007/s10464-007-9108-14.

Article in electronic journal by DOI (no paginated version)

Kruger, M., Brandis, C.D., Mandel, D.M., & Sassoure, J. (2007). Lessons to be learned in systems change initiatives: benchmarks and indicators. American Journal of Digital Psychology . doi: 10.1007/s10469-007-5108-14.

Complete book

Calfee, R.C., & Valencia, R.R. (1991). APA guide to preparing manuscripts for journal publication. Washington, DC: American Psychological Association.

Book chapter, or an article within a book

O'Neil, J.M., & Egan, J. (1992). Men's and women's gender role journeys: Metaphor for healing, transition, and transformation. In B.R. Wainrib (Ed.), Gender issues across the life cycle (pp. 107-123). New York: Springer .

Online First chapter in a series (without a volume designation but with a DOI)

Saito, Y., & Hyuga, H. (2007). Rate equation approaches to amplification of enantiomeric excess and chiral symmetry breaking. Topics in Current Chemistry . doi:10.1007/128_2006_108.

Complete book, also showing a translated edition [Either edition may be listed first.]

Adorno, T.W. (1966). Negative Dialektik . Frankfurt: Suhrkamp. English edition: Adorno, TW (1973). Negative Dialectics (trans: Ashton, E.B.). London: Routledge.

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Abou-Allaban, Y., Dell, M.L., Greenberg, W., Lomax, J., Peteet, J., Torres, M., & Cowell, V. (2006). Religious/spiritual commitments and psychiatric practice. Resource document. American Psychiatric Association. http://www.psych.org/edu/other_res/lib_archives/archives/200604.pdf. Accessed 25 June 2007.

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German emigrants database (1998). Historisches Museum Bremerhaven. http://www.deutsche-auswanderer-datenbank.de. Accessed 21 June 2007.

Supplementary material/private homepage

Doe, J. (2006). Title of supplementary material. http://www.privatehomepage.com. Accessed 22 Feb 2007.

Doe, J. (1999). Trivial HTTP, RFC2169. ftp://ftp.isi.edu/in-notes/rfc2169.txt. Accessed 12 Feb 2006.

Organization site

ISSN International Centre (2006). The ISSN register. http://www.issn.org. Accessed 20 Feb 2007.

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Research Methods

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Qualitative vs. Quantiative

Correlational vs. experimental, empirical vs. non-empirical.

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Qualitative Research gathers data about lived experiences, emotions or behaviors, and the meanings individuals attach to them. It assists in enabling researchers to gain a better understanding of complex concepts, social interactions or cultural phenomena. This type of research is useful in the exploration of how or why things have occurred, interpreting events and describing actions.

Quantitative Research gathers numerical data which can be ranked, measured or categorized through statistical analysis. It assists with uncovering patterns or relationships, and for making generalizations. This type of research is useful for finding out how many, how much, how often, or to what extent.

Correlational Research cannot determine causal relationships. Instead they examine relationships between variables.

Experimental Research can establish causal relationship and variables can be manipulated.

Empirical Studies are based on evidence. The data is collected through experimentation or observation.

Non-empirical Studies do not require researchers to collect first-hand data.

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Non-empirical Values

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• Martin Carrier 5  

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Nonempirical values serve to delineate specific distinctions of scientific knowledge beyond empirical adequacy. Such values express requirements of significance and confirmation . The former are influential on the choice of problems and the pursuit of theories, the latter contribute to assessing the bearing of evidence on theory. Nonempirical values maybe epistemic (i.e., truth related) or non-epistemic (i.e., pragmatic, ethical, or utilitarian).

The background of the claim that nonempirical values contribute to shaping the system of scientific knowledge is constituted by the Duhem–Quine underdetermination thesis (underdetermination). This thesis says that the agreement of the empirical consequences of a theory with the available observations is not a sufficient reason for accepting the theory. In other words, logic and experience leave room for conceptually incompatible but empirically equivalent explanatory alternatives. Consider the example of explaining a bunch...

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Carrier M (2008) The aim and structure of methodological theory. In: Soler L, Sankey H, Hoyningen-Huene P (eds) Rethinking scientific change and theory comparison: stabilities, ruptures, incommensurabilities? Springer, Dordrecht, pp 273–290

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Popper KR (1963) Conjectures and refutations. The growth of scientific knowledge. Routledge, London, 2002

Rudner R (1953) The scientist qua scientist makes value judgments. Philos Sci 20:1–6

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Carrier, M. (2013). Non-empirical Values. In: Dubitzky, W., Wolkenhauer, O., Cho, KH., Yokota, H. (eds) Encyclopedia of Systems Biology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-9863-7_122

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*What's an Empirical Article?: STEP 1: Watch this Tutorial

• What's an Empirical Article?
• STEP 1: Watch this Tutorial
• STEP 2: Take this Quiz
• STEP 3: Check if your Answer is Correct

Empirical vs. Non-Empirical Scholarly Articles Tutorial

Watch this tutorial on strategies for discerning whether a scholarly article is EMPIRICAL or not:

• Transcript for “What’s an Empirical Article?” video tutorial Transcript for “What’s an Empirical Article?” video tutorial by Georgia State University Library and licensed under CC BY-NC 4.0

“What’s an Empirical Article ?” video tutorial and quiz by Georgia State University Library is licensed under CC BY-NC 4.0

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Empirical Research: Defining, Identifying, & Finding

Searching for empirical research.

• Defining Empirical Research
• Introduction

Where Do I Find Empirical Research?

How do i find more empirical research in my search.

• Database Tools
• Search Terms
• Image Descriptions

Because empirical research refers to the method of investigation rather than a method of publication, it can be published in a number of places. In many disciplines empirical research is most commonly published in scholarly, peer-reviewed journals . Putting empirical research through the peer review process helps ensure that the research is high quality. 

Finding Peer-Reviewed Articles

You can find peer-reviewed articles in a general web search along with a lot of other types of sources. However, these specialized tools are more likely to find peer-reviewed articles:

• Library databases
• Academic search engines such as Google Scholar

Common Types of Articles That Are Not Empirical

However, just finding an article in a peer-reviewed journal is not enough to say it is empirical, since not all the articles in a peer-reviewed journal will be empirical research or even peer reviewed. Knowing how to quickly identify some types non-empirical research articles in peer-reviewed journals can help speed up your search. 

• Peer-reviewed articles that systematically discuss and propose abstract concepts and methods for a field without primary data collection.
• Example: Grosser, K. & Moon, J. (2019). CSR and feminist organization studies: Towards an integrated theorization for the analysis of gender issues .
• Peer-reviewed articles that systematically describe, summarize, and often categorize and evaluate previous research on a topic without collecting new data.
• Example: Heuer, S. & Willer, R. (2020). How is quality of life assessed in people with dementia? A systematic literature review and a primer for speech-language pathologists .
• Note: empirical research articles will have a literature review section as part of the Introduction , but in an empirical research article the literature review exists to give context to the empirical research, which is the primary focus of the article. In a literature review article, the literature review is the focus. 
• While these articles are not empirical, they are often a great source of information on previous empirical research on a topic with citations to find that research.
• Non-peer-reviewed articles where the authors discuss their thoughts on a particular topic without data collection and a systematic method. There are a few differences between these types of articles.
• Written by the editors or guest editors of the journal. 
• Example:  Naples, N. A., Mauldin, L., & Dillaway, H. (2018). From the guest editors: Gender, disability, and intersectionality .
• Written by guest authors. The journal may have a non-peer-reviewed process for authors to submit these articles, and the editors of the journal may invite authors to write opinion articles.
• Example: García, J. J.-L., & Sharif, M. Z. (2015). Black lives matter: A commentary on racism and public health . 
• Written by the readers of a journal, often in response to an article previously-published in the journal.
• Example: Nathan, M. (2013). Letters: Perceived discrimination and racial/ethnic disparities in youth problem behaviors . 
• Non-peer-reviewed articles that describe and evaluate books, products, services, and other things the audience of the journal would be interested in. 
• Example: Robinson, R. & Green, J. M. (2020). Book review: Microaggressions and traumatic stress: Theory, research, and clinical treatment .

Even once you know how to recognize empirical research and where it is published, it would be nice to improve your search results so that more empirical research shows up for your topic.

There are two major ways to find the empirical research in a database search:

• Use built-in database tools to limit results to empirical research.
• Include search terms that help identify empirical research.
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Conceptual Vs. Empirical Research: Which Is Better?

Scientific research is often divided into two classes: conceptual research and empirical research. There used to be distinct ways of doing research and a researcher would proudly claim to be one or the other, praising his method and scorning the alternative. Today the distinction is not so clear.

What is Conceptual Research?

Conceptual research focuses on the concept or theory that explains or describes the phenomenon being studied. What causes disease? How can we describe the motions of the planets? What are the building blocks of matter? The conceptual researcher sits at his desk with pen in hand and tries to solve these problems by thinking about them. He does no experiments but may make use of observations by others, since this is the mass of data that he is trying to make sense of. Until fairly recently, conceptual research methodology was considered the most honorable form of research—it required using the brain, not the hands. Researchers such as the alchemists who did experiments were considered little better than blacksmiths—“filthy empiricists.”

What is Empirical Research?

For all of their lofty status, conceptual researchers regularly produced theories that were wrong. Aristotle taught that large cannonballs fell to earth faster than small ones, and many generations of professors repeated his teachings until Galileo proved them wrong. Galileo was an empiricist of the best sort, one who performed original experiments not merely to destroy old theories but to provide the basis for new theories. A reaction against the ivory tower theoreticians culminated in those who claimed to have no use for theory, arguing that empirical acquisition of knowledge was the only way to the truth. A pure empiricist would simply graph data and see if he got a straight line relation between variables. If so, he had a good “empirical” relationship that would make useful predictions. The theory behind the correlation was irrelevant.

The Scientific Method: A Bit of Both

The modern scientific method is really a combination of empirical and conceptual research. Using known experimental data a scientist formulates a working hypothesis to explain some aspect of nature. He then performs new experiments designed to test predictions of the theory, to support it or disprove it. Einstein is often cited as an example of a conceptual researcher, but he based his theories on experimental observations and proposed experiments, real and thought, which would test his theories. On the other hand, Edison is often considered an empiricist, the “Edisonian method” being a by-word for trial and error. But Edison appreciated the work of theorists and hired some of the best. Random screening of myriad possibilities is still valuable: pharmaceutical companies looking for new drugs do this, sometimes with great success. Personally, I tend to be a semi-empiricist. In graduate school I used the Hammett linear free-energy relation (a semi-empirical equation) to gain insight into chemical transition states. So I don’t debate on “conceptual vs. empirical research.” There is a range of possibilities between both the forms, all of which have their uses.

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Albert Einstein did theoretical work–he had no laboratory, Put simply, through new conceptual models, he re-interpreted the findings of others and expressed them mathematically.

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In research experiments, scholars can use both empirical and non-empirical methods. The type of methods used often depends on the field of science and the research outcome being analyzed. Empirical methods are objective, the results of a quantitative evaluation that produces a theory. Non-empirical methods are the opposite, using current events, personal observations, and subjectivity to draw conclusions. 

Each of these evidence-gathering methods is relevant and acceptable, but when one is discounted over another, the results of the study might not be as valid as it could have been. The way to ensure a strong outcome is to include both empirical and non-empirical methods of obtaining evidence in your research.

Empirical Evidence Pros and Cons

Empirical methods are used when data must be collected in a specific, objective way. This systematic collection of data ensures that the information that was collected is free of bias and accurate.

Scholars often turn to empirical methods of evidence collection as their first course of action. This is often a good idea since there are many basic advantages to this method. Empirical studies take current knowledge bases and improve and enhance them so that the research performed has a higher impact on societal or academic issues. Because it’s basically up to the researcher to decide how to use empirical evidence, within the norms and requirements of the study, this method is also flexible, making it a preference for the scholar. He or she is able to adjust the size of the study sample, the type of sample they want to use, and how the data is collected. Then, when it’s time for the analysis, the same data can be dissected and disseminated in different ways as necessary. 

The problem with empirical studies is usually found in time constraints. The type of data collected and the methods used can make empirical evidence a time-consuming endeavor. Additionally, data can’t be predicted completely, so any potential result has to be addressed and accounted for ahead of time.

Presenting empirical data is another issue entirely. You need enough information available to showcase your results and how they were achieved, but knowing what’s enough and what’s too much can be a fine line. You’ll also need to professionally display your results through graphs, tables, and whatever else it takes to prove your outcome. 

Non-Empirical Pros and Cons

Non-empirical evidence has a basis in multiple types of publications. It’s used in theory articles when the author is trying to propose a new concept or further solidify the effects of those that are already in theory. Substantive review articles also are based on non-empirical evidence. In these articles, the author is trying to summarize concepts that they have significant knowledge about to display the relevance of the idea and apply it to a specific aspect of society. Critiques are another non-empirical source, in which the author tries to explain why someone else’s study was invalid or wrong.

All of these writings must be analytical with evidence-backed information instead of solely subjective discussions. Although this type of evidence is frequently connected to philosophy and arts, it has a strong place in scientific research as well. Personal observation methods, reflections, and experience can drive data in a completely different direction than solely quantitative, empirical methods would have taken it.

Using Both in Your Research

The obvious differences in data collecting between empirical and non-empirical evidence mean that each researcher has their own opinion as to which is better for their own projects. However, the hostility between those who prefer one over the other is slowly losing ground.

As scholars begin to realize the impact that all of these methods have on their work when it is put together, the debate turns to favoring both at least in part of their research. Scholars are ready to use both types of evidence gathering in order to cement their outcomes more securely, and even to test their own theories before publication.

Show Your Evidence With Impactio

Whether you need charts and tables to display your research impact data to disseminate your work to your audience, Impactio is the program for you. It’s an all-in-one platform with which expert scholars around the world compile their studies, publish them, and follow the impact of their work once it’s published.

When you’re ready to become part of a wide network of other researchers and experts in the field of academics, turn to the platform your peers are using: Impactio .

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What is the difference between empirical and non-empirical research?

Table of Contents

• 1 What is the difference between empirical and non-empirical research?
• 2 What makes a research question empirical?
• 3 How do you know if research is empirical?
• 4 What is an example of empirical research?
• 5 What makes a study non-empirical?
• 6 What are the different types of empirical evidence?
• 7 What are 2 examples of empirical evidence?
• 8 Which is the best way to generate research questions?
• 9 Where do the ideas for research come from?
• 10 When do students ask questions about empirical research?

Definition: Empirical research is a research approach that makes use of evidence-based data while non-empirical research is a research approach that makes use of theoretical data.

What makes a research question empirical?

Empirical research is research that is based on observation and measurement of phenomena, as directly experienced by the researcher. The data thus gathered may be compared against a theory or hypothesis, but the results are still based on real life experience.

What is a non-empirical research question?

Non-Empirical Research articles focus more on theories, methods and their implications for education research. Non-Empirical Research can include comprehensive reviews and articles that focus on methodology. It should rely on empirical research literature as well but does not need to be essentially data-driven.

How do you know if research is empirical?

Characteristics of an Empirical Article:

• Empirical articles will include charts, graphs, or statistical analysis.
• Empirical research articles are usually substantial, maybe from 8-30 pages long.
• There is always a bibliography found at the end of the article.

What is an example of empirical research?

An example of an empirical research would be if a researcher was interested in finding out whether listening to happy music promotes prosocial behaviour. An experiment could be conducted where one group of audience is exposed to happy music and the other is not exposed to music at all.

What are some examples of empirical evidence?

Examples of empirical evidence You hear about a new drug called atenolol that slows down the heart and reduces blood pressure. You use a priori reasoning to create a hypothesis that this drug might reduce the risk of a heart attack because it lowers blood pressure.

What makes a study non-empirical?

Non-empirical methods are the opposite, using current events, personal observations, and subjectivity to draw conclusions. Each of these evidence-gathering methods is relevant and acceptable, but when one is discounted over another, the results of the study might not be as valid as it could have been.

What are the different types of empirical evidence?

The two primary types of empirical evidence are qualitative evidence and quantitative evidence.

• Qualitative. Qualitative evidence is the type of data that describes non-measurable information.
• Quantitative.

What are the types of empirical research?

There are three major types of empirical research:

• Quantitative Methods. e.g., numbers, mathematical equations).
• Qualitative Methods. e.g., numbers, mathematical equations).
• Mixed Methods (a mixture of Quantitative Methods and Qualitative Methods.

What are 2 examples of empirical evidence?

Examples of empirical evidence Imagine that you are a doctor and that you are interested in lowering blood pressure as a way to reduce the probability of having a heart attack. You hear about a new drug called atenolol that slows down the heart and reduces blood pressure.

Which is the best way to generate research questions?

How to turn an idea into a research question?

Where do the ideas for research come from?

When do students ask questions about empirical research.

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Empirical vs. Review Articles

How to recognize empirical journal articles, scholarly vs. non-scholarly sources.

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Know the difference between empirical and review articles.

Empirical article An empirical (research) article reports methods and findings of an original research study conducted by the authors of the article.  

Literature Review article A review article or "literature review" discusses past research studies on a given topic.

Definition of an empirical study:  An empirical research article reports the results of a study that uses data derived from actual observation or experimentation. Empirical research articles are examples of primary research.

Parts of a standard empirical research article:  (articles will not necessary use the exact terms listed below.)

• Abstract  ... A paragraph length description of what the study includes.
• Introduction ...Includes a statement of the hypotheses for the research and a review of other research on the topic.
• Who are participants
• Design of the study
• What the participants did
• What measures were used
• Results ...Describes the outcomes of the measures of the study.
• Discussion ...Contains the interpretations and implications of the study.
• References ...Contains citation information on the material cited in the report. (also called bibliography or works cited)

Characteristics of an Empirical Article:

• Empirical articles will include charts, graphs, or statistical analysis.
• Empirical research articles are usually substantial, maybe from 8-30 pages long.
• There is always a bibliography found at the end of the article.

Type of publications that publish empirical studies:

• Empirical research articles are published in scholarly or academic journals
• These journals are also called “peer-reviewed,” or “refereed” publications.

Examples of such publications include:

• Computers in Human Behavior
• Journal of Educational Psychology

Examples of databases that contain empirical research:  (selected list only)

• Web of Science

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

Know the difference between scholarly and non-scholarly articles.

"Scholarly" journal = "Peer-Reviewed" journal = "Refereed" journal

When researching your topic, you may come across many different types of sources and articles. When evaluating these sources, it is important to think about: 

• Who is the author? 
• Who is the audience or why was this written? 
• Where was this published? 
• Is this relevant to your research? 
• When was this written? Has it been updated? 
• Are there any citations? Who do they cite?  

Helpful Links and Guides

Here are helpful links and guides to check out for more information on scholarly sources: 

• This database contains data on different types of serials and can be used to determine whether a periodical is peer-reviewed or not:  Ulrich's Periodicals Directory  
• The UC Berkeley Library published this useful guide on evaluating resources, including the differences between scholarly and popular sources, as well as how to find primary sources:  UC Berkeley's Evaluating Resources LibGuide
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• Last Updated: Feb 14, 2024 3:32 PM
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Conceptual Research vs. Empirical Research

What's the difference.

Conceptual research and empirical research are two distinct approaches to conducting research. Conceptual research focuses on exploring and developing theories, concepts, and ideas. It involves analyzing existing literature, theories, and concepts to gain a deeper understanding of a particular topic. Conceptual research is often used in the early stages of research to generate hypotheses and develop a theoretical framework. On the other hand, empirical research involves collecting and analyzing data to test hypotheses and answer research questions. It relies on observation, measurement, and experimentation to gather evidence and draw conclusions. Empirical research is more focused on obtaining concrete and measurable results, often through surveys, experiments, or observations. Both approaches are valuable in research, with conceptual research providing a foundation for empirical research and empirical research validating or refuting conceptual theories.

Further Detail

Introduction.

Research is a fundamental aspect of any field of study, providing a systematic approach to acquiring knowledge and understanding. In the realm of research, two primary methodologies are commonly employed: conceptual research and empirical research. While both approaches aim to contribute to the body of knowledge, they differ significantly in their attributes, methodologies, and outcomes. This article aims to explore and compare the attributes of conceptual research and empirical research, shedding light on their unique characteristics and applications.

Conceptual Research

Conceptual research, also known as theoretical research, focuses on the exploration and development of theories, concepts, and ideas. It is primarily concerned with abstract and hypothetical constructs, aiming to enhance understanding and generate new insights. Conceptual research often involves a comprehensive review of existing literature, analyzing and synthesizing various theories and concepts to propose new frameworks or models.

One of the key attributes of conceptual research is its reliance on deductive reasoning. Researchers start with a set of existing theories or concepts and use logical reasoning to derive new hypotheses or frameworks. This deductive approach allows researchers to build upon existing knowledge and propose innovative ideas. Conceptual research is often exploratory in nature, seeking to expand the boundaries of knowledge and provide a foundation for further empirical investigations.

Conceptual research is particularly valuable in fields where empirical data may be limited or difficult to obtain. It allows researchers to explore complex phenomena, develop theoretical frameworks, and generate hypotheses that can later be tested through empirical research. By focusing on abstract concepts and theories, conceptual research provides a theoretical foundation for empirical investigations, guiding researchers in their quest for empirical evidence.

Furthermore, conceptual research plays a crucial role in the development of new disciplines or interdisciplinary fields. It helps establish a common language and theoretical framework, facilitating communication and collaboration among researchers from different backgrounds. By synthesizing existing knowledge and proposing new concepts, conceptual research lays the groundwork for empirical studies and contributes to the overall advancement of knowledge.

Empirical Research

Empirical research, in contrast to conceptual research, is concerned with the collection and analysis of observable data. It aims to test hypotheses, validate theories, and provide evidence-based conclusions. Empirical research relies on the systematic collection of data through various methods, such as surveys, experiments, observations, or interviews. The data collected is then analyzed using statistical or qualitative techniques to draw meaningful conclusions.

One of the primary attributes of empirical research is its inductive reasoning approach. Researchers start with specific observations or data and use them to develop general theories or conclusions. This inductive approach allows researchers to derive broader implications from specific instances, providing a basis for generalization. Empirical research is often hypothesis-driven, seeking to test and validate theories or hypotheses through the collection and analysis of data.

Empirical research is highly valued for its ability to provide concrete evidence and support or refute existing theories. It allows researchers to investigate real-world phenomena, understand cause-and-effect relationships, and make informed decisions based on empirical evidence. By relying on observable data, empirical research enhances the credibility and reliability of research findings, contributing to the overall body of knowledge in a field.

Moreover, empirical research is particularly useful in applied fields, where practical implications and real-world applications are of utmost importance. It allows researchers to evaluate the effectiveness of interventions, assess the impact of policies, or measure the outcomes of specific actions. Empirical research provides valuable insights that can inform decision-making processes, guide policy development, and drive evidence-based practices.

Comparing Conceptual Research and Empirical Research

While conceptual research and empirical research differ in their methodologies and approaches, they are both essential components of the research process. Conceptual research focuses on the development of theories and concepts, providing a theoretical foundation for empirical investigations. Empirical research, on the other hand, relies on the collection and analysis of observable data to test and validate theories.

Conceptual research is often exploratory and aims to expand the boundaries of knowledge. It is valuable in fields where empirical data may be limited or difficult to obtain. By synthesizing existing theories and proposing new frameworks, conceptual research provides a theoretical basis for empirical studies. It helps researchers develop hypotheses and guides their quest for empirical evidence.

Empirical research, on the other hand, is hypothesis-driven and seeks to provide concrete evidence and support or refute existing theories. It allows researchers to investigate real-world phenomena, understand cause-and-effect relationships, and make informed decisions based on empirical evidence. Empirical research is particularly useful in applied fields, where practical implications and real-world applications are of utmost importance.

Despite their differences, conceptual research and empirical research are not mutually exclusive. In fact, they often complement each other in the research process. Conceptual research provides the theoretical foundation and guidance for empirical investigations, while empirical research validates and refines existing theories or concepts. The iterative nature of research often involves a continuous cycle of conceptual and empirical research, with each informing and influencing the other.

Both conceptual research and empirical research contribute to the advancement of knowledge in their respective fields. Conceptual research expands theoretical frameworks, proposes new concepts, and lays the groundwork for empirical investigations. Empirical research, on the other hand, provides concrete evidence, validates theories, and informs practical applications. Together, they form a symbiotic relationship, driving progress and innovation in various disciplines.

Conceptual research and empirical research are two distinct methodologies employed in the pursuit of knowledge and understanding. While conceptual research focuses on the development of theories and concepts, empirical research relies on the collection and analysis of observable data. Both approaches have their unique attributes, methodologies, and applications.

Conceptual research plays a crucial role in expanding theoretical frameworks, proposing new concepts, and providing a foundation for empirical investigations. It is particularly valuable in fields where empirical data may be limited or difficult to obtain. On the other hand, empirical research provides concrete evidence, validates theories, and informs practical applications. It is highly valued in applied fields, where evidence-based decision-making is essential.

Despite their differences, conceptual research and empirical research are not mutually exclusive. They often work in tandem, with conceptual research guiding the development of hypotheses and theoretical frameworks, and empirical research validating and refining these theories through the collection and analysis of data. Together, they contribute to the overall advancement of knowledge and understanding in various disciplines.

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ORIGINAL RESEARCH article

Green finance and total factor energy efficiency: theoretical mechanisms and empirical tests provisionally accepted.

• 1 Business School, Guilin University of Technology, China

The final, formatted version of the article will be published soon.

China's green financial pilot policies (GFPP) is an important start to build a green financial system in China. It is also an important part of achieving the "dual-carbon" goal. This paper calculates China's total factor energy efficiency (TFEE), analyzes the impact of GFPP on TFEE, and explores the conduction mechanism. The results show that the relationship between GFPP and TFEE in the pilot areas is statistically significant. GFPP mainly improves TFEE through the green innovation effect and the optimization of energy structure. GFPP has a significant effect on TFEE enhancement in eastern coastal cities, non-old traditional industrial cities, and non-resource-based cities with high initial energy. China should continue to deepen the pilot work of green finance, formulate differentiated green finance policies, and ensure green technology innovation. This study provides empirical evidence for further optimization of green finance and energy efficiency.

Keywords: green finance, Total factor energy efficiency, Green technology innovation, Energy structure, China

Received: 11 Mar 2024; Accepted: 10 May 2024.

Copyright: © 2024 Yu, Wang and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Dr. Xiaolan Cheng, Business School, Guilin University of Technology, Guilin, China

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