Prosocial modeling: A meta-analytic review and synthesis

Haesung Jung, Eunjin Seo, Eunjoo Han, Marlone D. Henderson, Erika A. Patall

Research output: Contribution to journalReview articlepeer-review

7 Scopus citations

Abstract

Exposure to prosocial models is commonly used to foster prosocial behavior in various domains of society. The aim of the current article is to apply meta-analytic techniques to synthesize several decades of research on prosocial modeling, and to examine the extent to which prosocial modeling elicits helping behavior. We also identify the theoretical and methodological variables that moderate the prosocial modeling effect. Eighty-eight studies with 25,354 participants found a moderate effect (g = 0.45) of prosocial modeling in eliciting subsequent helping behavior. The prosocial modeling effect generalized across different types of helping behaviors, different targets in need of help, and was robust to experimenter bias. Nevertheless, there was cross-societal variation in the magnitude of the modeling effect, and the magnitude of the prosocial modeling effect was larger when participants were presented with an opportunity to help the model (vs. a third-party) after witnessing the model's generosity. The prosocial modeling effect was also larger for studies with higher percentage of female in the sample, when other people (vs. participants) benefitted from the model's prosocial behavior, and when the model was rewarded for helping (vs. was not). We discuss the publication bias in the prosocial modeling literature, limitations of our analyses and identify avenues for future research. We end with a discussion of the theoretical and practical implications of our findings.

Original languageEnglish (US)
Pages (from-to)635-663
Number of pages29
JournalPsychological Bulletin
Volume146
Issue number8
DOIs
StatePublished - Aug 2020

All Science Journal Classification (ASJC) codes

  • Psychology(all)

Fingerprint

Dive into the research topics of 'Prosocial modeling: A meta-analytic review and synthesis'. Together they form a unique fingerprint.

Cite this