Literature DB >> 20658837

How choice affects and reflects preferences: revisiting the free-choice paradigm.

M Keith Chen1, Jane L Risen.   

Abstract

After making a choice between 2 objects, people reevaluate their chosen item more positively and their rejected item more negatively (i.e., they spread the alternatives). Since Brehm's (1956) initial free-choice experiment, psychologists have interpreted the spreading of alternatives as evidence for choice-induced attitude change. It is widely assumed to occur because choosing creates cognitive dissonance, which is then reduced through rationalization. In this article, we express concern with this interpretation, noting that the free-choice paradigm (FCP) will produce spreading, even if people's attitudes remain unchanged. Specifically, if people's ratings/rankings are an imperfect measure of their preferences and their choices are at least partially guided by their preferences, then the FCP will measure spreading, even if people's preferences remain perfectly stable. We show this, first by proving a mathematical theorem that identifies a set of conditions under which the FCP will measure spreading, even absent attitude change. We then experimentally demonstrate that these conditions appear to hold and that the FCP measures a spread of alternatives, even when this spreading cannot have been caused by choice. We discuss how the problem we identify applies to the basic FCP paradigm as well as to all variants that examine moderators and mediators of spreading. The results suggest a reassessment of the free-choice paradigm and, perhaps, the conclusions that have been drawn from it.

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Year:  2010        PMID: 20658837     DOI: 10.1037/a0020217

Source DB:  PubMed          Journal:  J Pers Soc Psychol        ISSN: 0022-3514


  30 in total

1.  Neural correlates of cognitive dissonance and choice-induced preference change.

Authors:  Keise Izuma; Madoka Matsumoto; Kou Murayama; Kazuyuki Samejima; Norihiro Sadato; Kenji Matsumoto
Journal:  Proc Natl Acad Sci U S A       Date:  2010-12-06       Impact factor: 11.205

2.  Hard Decisions Shape the Neural Coding of Preferences.

Authors:  Katharina Voigt; Carsten Murawski; Sebastian Speer; Stefan Bode
Journal:  J Neurosci       Date:  2018-12-10       Impact factor: 6.167

3.  Connectivity between mPFC and PCC predicts post-choice attitude change: The self-referential processing hypothesis of choice justification.

Authors:  Steven Tompson; Hannah Faye Chua; Shinobu Kitayama
Journal:  Hum Brain Mapp       Date:  2016-11       Impact factor: 5.038

4.  Is choice-induced preference change long lasting?

Authors:  Tali Sharot; Stephen M Fleming; Xiaoyu Yu; Raphael Koster; Raymond J Dolan
Journal:  Psychol Sci       Date:  2012-08-28

5.  Trading mental effort for confidence in the metacognitive control of value-based decision-making.

Authors:  Douglas G Lee; Jean Daunizeau
Journal:  Elife       Date:  2021-04-26       Impact factor: 8.140

6.  When flexibility is stable: implicit long-term shaping of olfactory preferences.

Authors:  Géraldine Coppin; Sylvain Delplanque; Christelle Porcherot; Isabelle Cayeux; David Sander
Journal:  PLoS One       Date:  2012-06-21       Impact factor: 3.240

7.  Action and valence modulate choice and choice-induced preference change.

Authors:  Raphael Koster; Emrah Duzel; Raymond J Dolan
Journal:  PLoS One       Date:  2015-03-06       Impact factor: 3.240

8.  Choice-induced preference change in the free-choice paradigm: a critical methodological review.

Authors:  Keise Izuma; Kou Murayama
Journal:  Front Psychol       Date:  2013-02-07

9.  I choose, therefore I like: preference for faces induced by arbitrary choice.

Authors:  Koyo Nakamura; Hideaki Kawabata
Journal:  PLoS One       Date:  2013-08-16       Impact factor: 3.240

10.  Too good to be true: rhesus monkeys react negatively to better-than-expected offers.

Authors:  Emily J Knight; Kristen M Klepac; Jerald D Kralik
Journal:  PLoS One       Date:  2013-10-09       Impact factor: 3.240

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