What Is the Implicit Gender-Science Stereotype? Exploring Correlations Between the Gender-Science IAT and Self-Report Measures

Hila Zitelny, Michal Shalom, Yoav Bar-Anan

Research output: Contribution to journalArticlepeer-review

Abstract

Implicit measures of the gender-science stereotype are often better than explicit measures in predicting relevant outcomes. This finding could reflect a discrepancy between implicit and explicit stereotypes, but an alternative is that the implicit measure is sensitive to constructs other than the stereotype. Analyzing an archival data set (total N = 478,550), we found that self-reported liking of science versus liberal arts was the best predictor of the gender-science implicit association test (IAT). In a reanalysis of a previous study and a replication of another study, we found that evidence for the IAT’s advantage over explicit stereotypes in predicting relevant outcomes disappeared when controlling for self-reported liking. Therefore, perhaps the IAT has often outperformed the explicit stereotype because the gender-science IAT captures personal attraction, whereas the explicit stereotype does not. It is premature to conclude that implicit constructs are superior to explicit constructs in predicting science-related plans and behavior.

Original languageEnglish
Pages (from-to)719-735
Number of pages17
JournalSocial Psychological and Personality Science
Volume8
Issue number7
DOIs
StatePublished - 1 Sep 2017
Externally publishedYes

Keywords

  • gender
  • gender-science stereotype
  • implicit association test
  • implicit stereotypes
  • stereotypes

Fingerprint

Dive into the research topics of 'What Is the Implicit Gender-Science Stereotype? Exploring Correlations Between the Gender-Science IAT and Self-Report Measures'. Together they form a unique fingerprint.

Cite this