IDEAS home Printed from https://ideas.repec.org/p/osf/metaar/7rcn2_v1.html

Researcher Preferences and Research Findings

Author

Listed:
  • Breznau, Nate

    (German Institute for Adult Education)

Abstract

Empirical research produces findings that are influenced by the preferences of the researchers. Researchers choose their research question, how they collect or manipulate data and which models they employ. Every decision is an opportunity for a researcher’s preferences to enter the research production function. Recent ‘many analysts’ studies shed light on this phenomenon whereby researchers given the same data to test the same hypothesis arrive at different results. This chapter reviews types of bias in the research process stemming from researchers’ preferences. For example, desires, prior worldviews, motives, ideologies and learned behaviors can all influence the rational pursuit of knowledge. Some preferences are incentivized in the competitive academic market for science others stem from political motives. The process is complex as different preferences can interact with one another in the research process. The chapter concludes with recommendations for consumers of research findings and institutions of science.

Suggested Citation

  • Breznau, Nate, 2026. "Researcher Preferences and Research Findings," MetaArXiv 7rcn2_v1, Center for Open Science.
  • Handle: RePEc:osf:metaar:7rcn2_v1
    DOI: 10.31222/osf.io/7rcn2_v1
    as

    Download full text from publisher

    File URL: https://osf.io/download/6a796f207186240b029ae533/
    Download Restriction: no

    File URL: https://libkey.io/10.31222/osf.io/7rcn2_v1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
    2. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
    3. Joan Monras, 2021. "Local Adjustment to Immigrant-Driven Labor Supply Shocks," Journal of Human Capital, University of Chicago Press, vol. 15(1), pages 204-235.
    4. List, John A, et al, 2001. "Academic Economists Behaving Badly? A Survey on Three Areas of Unethical Behavior," Economic Inquiry, Western Economic Association International, vol. 39(1), pages 162-170, January.
    5. Anne Gauthier, 2007. "The impact of family policies on fertility in industrialized countries: a review of the literature," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(3), pages 323-346, June.
    6. Olivia Miske & Anna Lou Abatayo & Mason Daley & Mirka Dirzo & Nicholas Fox & Noah Haber & Krystal M. Hahn & Melissa Kline Struhl & Brinna Mawhinney & Priya Silverstein & Theresa Stankov & Andrew H. Ty, 2026. "Investigating the reproducibility of the social and behavioural sciences," Nature, Nature, vol. 652(8108), pages 126-134, April.
    7. Megan L Head & Luke Holman & Rob Lanfear & Andrew T Kahn & Michael D Jennions, 2015. "The Extent and Consequences of P-Hacking in Science," PLOS Biology, Public Library of Science, vol. 13(3), pages 1-15, March.
    8. Mark Henderson, 2026. "Scientists should recognize their own political biases to build public trust," Nature, Nature, vol. 655(8121), pages 9-9, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stanley, T. D. & Doucouliagos, Chris, 2019. "Practical Significance, Meta-Analysis and the Credibility of Economics," IZA Discussion Papers 12458, IZA Network @ LISER.
    2. Anna Sokolova, 2023. "Marginal Propensity to Consume and Unemployment: a Meta-analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 813-846, December.
    3. Paldam, Martin, 2015. "Meta-analysis in a nutshell: Techniques and general findings," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 9, pages 1-14.
    4. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests as a Screen in the Publication Process: Throwing out the Wheat with the Chaff," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    5. Abel Brodeur, Nikolai M. Cook, Anthony Heyes, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments," LCERPA Working Papers am0133, Laurier Centre for Economic Research and Policy Analysis.
    6. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
    7. Jasper Brinkerink, 2023. "When Shooting for the Stars Becomes Aiming for Asterisks: P-Hacking in Family Business Research," Entrepreneurship Theory and Practice, , vol. 47(2), pages 304-343, March.
    8. Deer, Lachlan & Adler, Susanne J. & Datta, Hannes & Mizik, Natalie & Sarstedt, Marko, 2025. "Toward open science in marketing research," International Journal of Research in Marketing, Elsevier, vol. 42(1), pages 212-233.
    9. Brian Fabo & Martina Jancokova & Elisabeth Kempf & Lubos Pastor, 2020. "Fifty Shades of QE: Conflicts of Interest in Economic Research," Working and Discussion Papers WP 5/2020, Research Department, National Bank of Slovakia.
    10. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
    11. Necker, Sarah, 2014. "Scientific misbehavior in economics," Research Policy, Elsevier, vol. 43(10), pages 1747-1759.
    12. Mattia Filomena, 2024. "Unemployment Scarring Effects: An Overview and Meta-analysis of Empirical Studies," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 10(2), pages 459-518, July.
    13. Tomas Havranek & Zuzana Irsova & Lubica Laslopova & Olesia Zeynalova, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," Working Papers IES 2020/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    14. Havranek, Tomas & Rusnak, Marek & Sokolova, Anna, 2017. "Habit formation in consumption: A meta-analysis," European Economic Review, Elsevier, vol. 95(C), pages 142-167.
    15. Philipp Heimberger, 2019. "Beeinflusst die ökonomische Globalisierung die Einkommensungleichheit? Eine Meta-Analyse," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 45(4), pages 497-529.
    16. Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell us about p-Hacking and Publication Bias in Online Experiments," GLO Discussion Paper Series 1157, Global Labor Organization (GLO).
    17. Alexander L. Brown & Taisuke Imai & Ferdinand M. Vieider & Colin F. Camerer, 2024. "Meta-analysis of Empirical Estimates of Loss Aversion," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 485-516, June.
    18. repec:osf:osfxxx:mydzv_v1 is not listed on IDEAS
    19. Carina Neisser, 2021. "The Elasticity of Taxable Income: A Meta-Regression Analysis [The top 1% in international and historical perspective]," The Economic Journal, Royal Economic Society, vol. 131(640), pages 3365-3391.
    20. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Aug 2025.
    21. Brodeur, Abel & Cook, Nikolai M. & Heyes, Anthony & Wright, Taylor, 2025. "Media Stars: Statistical Significance and Research Impact," I4R Discussion Paper Series 254, The Institute for Replication (I4R).

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:metaar:7rcn2_v1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/metaarxiv .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.