Literature DB >> 21766999

Discrete emotions predict changes in cognition, judgment, experience, behavior, and physiology: a meta-analysis of experimental emotion elicitations.

Heather C Lench1, Sarah A Flores, Shane W Bench.   

Abstract

Our purpose in the present meta-analysis was to examine the extent to which discrete emotions elicit changes in cognition, judgment, experience, behavior, and physiology; whether these changes are correlated as would be expected if emotions organize responses across these systems; and which factors moderate the magnitude of these effects. Studies (687; 4,946 effects, 49,473 participants) were included that elicited the discrete emotions of happiness, sadness, anger, and anxiety as independent variables with adults. Consistent with discrete emotion theory, there were (a) moderate differences among discrete emotions; (b) differences among discrete negative emotions; and (c) correlated changes in behavior, experience, and physiology (cognition and judgment were mostly not correlated with other changes). Valence, valence-arousal, and approach-avoidance models of emotion were not as clearly supported. There was evidence that these factors are likely important components of emotion but that they could not fully account for the pattern of results. Most emotion elicitations were effective, although the efficacy varied with the emotions being compared. Picture presentations were overall the most effective elicitor of discrete emotions. Stronger effects of emotion elicitations were associated with happiness versus negative emotions, self-reported experience, a greater proportion of women (for elicitations of happiness and sadness), omission of a cover story, and participants alone versus in groups. Conclusions are limited by the inclusion of only some discrete emotions, exclusion of studies that did not elicit discrete emotions, few available effect sizes for some contrasts and moderators, and the methodological rigor of included studies. (PsycINFO Database Record (c) 2011 APA, all rights reserved).

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Year:  2011        PMID: 21766999     DOI: 10.1037/a0024244

Source DB:  PubMed          Journal:  Psychol Bull        ISSN: 0033-2909            Impact factor:   17.737


  71 in total

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Journal:  PLoS One       Date:  2021-02-09       Impact factor: 3.240

Review 4.  Exploring emotions using invasive methods: review of 60 years of human intracranial electrophysiology.

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5.  What the face displays: Mapping 28 emotions conveyed by naturalistic expression.

Authors:  Alan S Cowen; Dacher Keltner
Journal:  Am Psychol       Date:  2019-06-17

6.  The recognition of 18 facial-bodily expressions across nine cultures.

Authors:  Daniel T Cordaro; Rui Sun; Shanmukh Kamble; Niranjan Hodder; Maria Monroy; Alan Cowen; Yang Bai; Dacher Keltner
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7.  Self-report captures 27 distinct categories of emotion bridged by continuous gradients.

Authors:  Alan S Cowen; Dacher Keltner
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-05       Impact factor: 11.205

Review 8.  Is there consistency and specificity of autonomic changes during emotional episodes? Guidance from the Conceptual Act Theory and psychophysiology.

Authors:  Karen S Quigley; Lisa Feldman Barrett
Journal:  Biol Psychol       Date:  2014-01-02       Impact factor: 3.251

9.  Intersubject representational similarity analysis reveals individual variations in affective experience when watching erotic movies.

Authors:  Pin-Hao A Chen; Eshin Jolly; Jin Hyun Cheong; Luke J Chang
Journal:  Neuroimage       Date:  2020-04-12       Impact factor: 6.556

10.  Neural evidence that human emotions share core affective properties.

Authors:  Christine D Wilson-Mendenhall; Lisa Feldman Barrett; Lawrence W Barsalou
Journal:  Psychol Sci       Date:  2013-04-19
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