IDEAS home Printed from https://ideas.repec.org/a/eee/soceco/v109y2024ics2214804324000016.html
   My bibliography  Save this article

Deliberation, mood response, and the confirmation bias in the religious belief domain

Author

Listed:
  • Dickinson, David L.

Abstract

A novel task was developed to examine the confirmation bias in religious beliefs, which compares to a classic political confirmation bias task. In Study 1, a balanced number of Christian versus non-religious (liberals and conservative) participants were recruited (n = 402). The data showed strong confirmation bias evidence in both the religious and political beliefs domains, and this bias appears to be enhanced by deliberation. In Study 2, a distinct set of n = 402 Christians and non-religious participants were administered the same religious beliefs task with added mood elicitation. The hypothesis tested was whether dissonant arguments promote negative mood, and whether this negative mood moderates the confirmation bias. The data from Study 2 supported these hypotheses. Data collection, hypotheses, and analysis plans for both studies were preregistered on the Open Science Framework. This paper documents the confirmation bias in the domain of religious beliefs, and results suggest the biological foundation of the confirmation bias includes both deliberative and emotional input, which may imply that comprehensive neural inputs from multiple brain regions promote this behavioral bias. This has implications not only regarding religious beliefs, but it also furthers our understanding of the brain-to-behavior pathway of the confirmation bias.

Suggested Citation

  • Dickinson, David L., 2024. "Deliberation, mood response, and the confirmation bias in the religious belief domain," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
  • Handle: RePEc:eee:soceco:v:109:y:2024:i:c:s2214804324000016
    DOI: 10.1016/j.socec.2024.102161
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214804324000016
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socec.2024.102161?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bovi, Maurizio, 2009. "Economic versus psychological forecasting. Evidence from consumer confidence surveys," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 563-574, August.
    2. Martin Jones & Robert Sugden, 2001. "Positive confirmation bias in the acquisition of information," Theory and Decision, Springer, vol. 50(1), pages 59-99, February.
    3. Alexander Coutts, 2019. "Good news and bad news are still news: experimental evidence on belief updating," Experimental Economics, Springer;Economic Science Association, vol. 22(2), pages 369-395, June.
    4. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    5. repec:nas:journl:v:115:y:2018:p:9216-9221 is not listed on IDEAS
    6. Jan B. Engelmann & Maël Lebreton & Nahuel A. Salem-Garcia & Peter Schwardmann & Joël J. van der Weele, 2024. "Anticipatory Anxiety and Wishful Thinking," American Economic Review, American Economic Association, vol. 114(4), pages 926-960, April.
    7. Charles S. Taber & Milton Lodge, 2006. "Motivated Skepticism in the Evaluation of Political Beliefs," American Journal of Political Science, John Wiley & Sons, vol. 50(3), pages 755-769, July.
    8. David L. Dickinson, 2022. "Political ideology, mood response, and the confirmation bias," Working Papers 22-04, Department of Economics, Appalachian State University.
    9. D. Andrew Austin & Nathaniel T. Wilcox, 2007. "Believing In Economic Theories: Sex, Lies, Evidence, Trust, And Ideology," Economic Inquiry, Western Economic Association International, vol. 45(3), pages 502-518, July.
    10. Christandl, Fabian & Fetchenhauer, Detlef & Hoelzl, Erik, 2011. "Price perception and confirmation bias in the context of a VAT increase," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 131-141, February.
    11. Bracha, Anat & Brown, Donald J., 2012. "Affective decision making: A theory of optimism bias," Games and Economic Behavior, Elsevier, vol. 75(1), pages 67-80.
    12. Ranyard, Rob & Missier, Fabio Del & Bonini, Nicolao & Duxbury, Darren & Summers, Barbara, 2008. "Perceptions and expectations of price changes and inflation: A review and conceptual framework," Journal of Economic Psychology, Elsevier, vol. 29(4), pages 378-400, August.
    13. Dickinson, David L., 2020. "Deliberation Enhances the Confirmation Bias: An Examination of Politics and Religion," IZA Discussion Papers 13241, Institute of Labor Economics (IZA).
    14. David L. Dickinson, 2020. "Deliberation Enhances the Confirmation Bias in Politics," Games, MDPI, vol. 11(4), pages 1-25, November.
    15. Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
    16. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    17. Russell Golman & David Hagmann & George Loewenstein, 2017. "Information Avoidance," Journal of Economic Literature, American Economic Association, vol. 55(1), pages 96-135, March.
    18. Palan, Stefan & Schitter, Christian, 2018. "Prolific.ac—A subject pool for online experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 22-27.
    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. David L. Dickinson, 2020. "Deliberation enhances the confirmation bias. An examination of politics and religion," Working Papers 20-06, Department of Economics, Appalachian State University.
    2. David L. Dickinson, 2020. "Deliberation Enhances the Confirmation Bias in Politics," Games, MDPI, vol. 11(4), pages 1-25, November.
    3. Dickinson, David L., 2022. "Political Ideology, Mood Response, and the Confirmation Bias," IZA Discussion Papers 15428, Institute of Labor Economics (IZA).
    4. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    5. Bolte, Lukas & Fan, Tony Q., 2024. "Motivated mislearning: The case of correlation neglect," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 647-663.
    6. Momsen, Katharina & Ohndorf, Markus, 2020. "Information Avoidance, Selective Exposure, and Fake(?) News - A Market Experiment," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224637, Verein für Socialpolitik / German Economic Association.
    7. Grunewald, Andreas & Klockmann, Victor & von Schenk, Alicia & von Siemens, Ferdinand, 2024. "Are biases contagious? The influence of communication on motivated beliefs," W.E.P. - Würzburg Economic Papers 109, University of Würzburg, Department of Economics.
    8. Katharina Momsen & Markus Ohndorf, 2019. "Information Avoidance, Selective Exposure, and Fake(?) News-A Green Market Experiment," Working Papers 2019-18, Faculty of Economics and Statistics, Universität Innsbruck.
    9. Barrera, Oscar & Guriev, Sergei & Henry, Emeric & Zhuravskaya, Ekaterina, 2020. "Facts, alternative facts, and fact checking in times of post-truth politics," Journal of Public Economics, Elsevier, vol. 182(C).
    10. Lohse, Johannes & McDonald, Rebecca, 2021. "Absolute groupishness and the demand for information," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242454, Verein für Socialpolitik / German Economic Association.
    11. Buser, Thomas, 2024. "Adversarial Economic Preferences Predict Right-Wing Voting," IZA Discussion Papers 16711, Institute of Labor Economics (IZA).
    12. Prati, Alberto & Saucet, Charlotte, 2024. "The causal effect of a health treatment on beliefs, stated preferences and memories," Journal of Health Economics, Elsevier, vol. 94(C).
    13. repec:hal:wpspec:info:hdl:2441/1dhd1b1s319fbai85khk40fudc is not listed on IDEAS
    14. Alessandro Nai, 2020. "The Trump Paradox: How Cues from a Disliked Source Foster Resistance to Persuasion," Politics and Governance, Cogitatio Press, vol. 8(1), pages 122-132.
    15. Edson C. Tandoc Jr. & Ryan J. Thomas & Lauren Bishop, 2021. "What Is (Fake) News? Analyzing News Values (and More) in Fake Stories," Media and Communication, Cogitatio Press, vol. 9(1), pages 110-119.
    16. Fabio Padovano & Pauline Mille, 2022. "Education, fake news and the PBC," Economics Working Paper from Condorcet Center for political Economy at CREM-CNRS 2022-01-ccr, Condorcet Center for political Economy.
    17. Bruno Carvalho & Claudia Custodio & Benny Geys & Diogo Mendes & Susana Peralta, 2020. "Information, Perceptions, and Electoral Behaviour of Young Voters: A Randomised Controlled Experiment," Working Papers ECARES 2020-14, ULB -- Universite Libre de Bruxelles.
    18. Gruener, Sven, 2021. "Susceptibility to misinformation: a study of climate change, Covid-19, and artificial intelligence," SocArXiv x8efq, Center for Open Science.
    19. Alexander Coutts & Leonie Gerhards & Zahra Murad, 2024. "What to Blame? Self-Serving Attribution Bias with Multi-Dimensional Uncertainty," The Economic Journal, Royal Economic Society, vol. 134(661), pages 1835-1874.
    20. Gruener, Sven, 2021. "Misinformation: determinants of gullibility," SocArXiv r3fx7, Center for Open Science.
    21. Tetsuro Kobayashi & Fumiaki Taka & Takahisa Suzuki, 2021. "Can “Googling” correct misbelief? Cognitive and affective consequences of online search," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-16, September.

    More about this item

    Keywords

    Confirmation bias; Decision bias; Politics; Religion; Behavioral economics;
    All these keywords.

    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

    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:eee:soceco:v:109:y:2024:i:c:s2214804324000016. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620175 .

    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.