Gender and Accuracy in Decoding Affect Cues: A Meta-Analysis

Gender differences in understanding the meanings of affect cues, often labeled emotion recognition, have been studied for over a century. Past reviews of the literature have concluded that girls and women score higher than boys and men on tests of accuracy in decoding affect cues, which are most oft...

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Main Authors: Judith A. Hall, Sarah D. Gunnery, Katja Schlegel
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Intelligence
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Online Access:https://www.mdpi.com/2079-3200/13/3/38
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author Judith A. Hall
Sarah D. Gunnery
Katja Schlegel
author_facet Judith A. Hall
Sarah D. Gunnery
Katja Schlegel
author_sort Judith A. Hall
collection DOAJ
description Gender differences in understanding the meanings of affect cues, often labeled emotion recognition, have been studied for over a century. Past reviews of the literature have concluded that girls and women score higher than boys and men on tests of accuracy in decoding affect cues, which are most often tested in the cue modalities of face, body, and content-free voice. The present meta-analysis updates knowledge on this topic by including many more studies (1188 effect sizes in 1011 studies; total <i>N</i> = 837,637) and examining a wide range of moderators such as health status of sample, international location, cue channels of the test, and other sample and test characteristics. Indeed, the gender difference favoring girls and women still exists, and evidence for publication bias was weak. The difference is not large (<i>r</i> = 0.12, <i>d</i> = 0.24), but it is extremely consistent across many moderators, which, even when significant, show minor differences. Health status was the only moderator to produce groups without a significant gender difference.
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spelling doaj-art-ea62b51d09f845008145c38bc76898eb2025-08-20T03:43:16ZengMDPI AGJournal of Intelligence2079-32002025-03-011333810.3390/jintelligence13030038Gender and Accuracy in Decoding Affect Cues: A Meta-AnalysisJudith A. Hall0Sarah D. Gunnery1Katja Schlegel2Department of Psychology, Northeastern University, Boston, MA 02115, USADepartment of Psychology, New England College, Henniker, NH 03242, USAInstitute of Psychology, University of Bern, 3012 Bern, SwitzerlandGender differences in understanding the meanings of affect cues, often labeled emotion recognition, have been studied for over a century. Past reviews of the literature have concluded that girls and women score higher than boys and men on tests of accuracy in decoding affect cues, which are most often tested in the cue modalities of face, body, and content-free voice. The present meta-analysis updates knowledge on this topic by including many more studies (1188 effect sizes in 1011 studies; total <i>N</i> = 837,637) and examining a wide range of moderators such as health status of sample, international location, cue channels of the test, and other sample and test characteristics. Indeed, the gender difference favoring girls and women still exists, and evidence for publication bias was weak. The difference is not large (<i>r</i> = 0.12, <i>d</i> = 0.24), but it is extremely consistent across many moderators, which, even when significant, show minor differences. Health status was the only moderator to produce groups without a significant gender difference.https://www.mdpi.com/2079-3200/13/3/38genderemotion recognitiondecodingcuesaffect
spellingShingle Judith A. Hall
Sarah D. Gunnery
Katja Schlegel
Gender and Accuracy in Decoding Affect Cues: A Meta-Analysis
Journal of Intelligence
gender
emotion recognition
decoding
cues
affect
title Gender and Accuracy in Decoding Affect Cues: A Meta-Analysis
title_full Gender and Accuracy in Decoding Affect Cues: A Meta-Analysis
title_fullStr Gender and Accuracy in Decoding Affect Cues: A Meta-Analysis
title_full_unstemmed Gender and Accuracy in Decoding Affect Cues: A Meta-Analysis
title_short Gender and Accuracy in Decoding Affect Cues: A Meta-Analysis
title_sort gender and accuracy in decoding affect cues a meta analysis
topic gender
emotion recognition
decoding
cues
affect
url https://www.mdpi.com/2079-3200/13/3/38
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