Perceived warmth and competence predict callback rates in meta-analyzed North American labor market experiments (IMAGE)

PLOS

Perceived warmth and competence predict callback rates in meta-analyzed North American labor market experiments

Caption

The total number of studies, categories, and signals included in our meta-analysis, along with our statistical estimation strategy. The numbers indicate the total counts of studies, categories, and signals. The data sources are shown on the right-hand side: hiring managers made callback decisions based on resumes (in blue). Separately, we collected warmth and competence ratings on prolific, where participants (in red) only saw the respective signal (indicated in yellow). Our estimation strategy is visualized in the grey box in the bottom right corner: we used the averages of warmth and competence ratings to predict the callback percentage. 

Credit

Gallo et al., 2024, PLOS ONE, CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

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License

CC BY

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