4.5 Editorial Material

Understated Gender Disparities Due to Outcome-Dependent Selection: Commentary on Mackelprang et al. (2023)

Journal

AMERICAN PSYCHOLOGIST
Volume 78, Issue 6, Pages 811-813

Publisher

AMER PSYCHOLOGICAL ASSOC
DOI: 10.1037/amp0001167

Keywords

conditional probability; outcome-dependent sampling; reverse causality; risk difference; risk ratio

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To examine the gender gap in invited publications in high-impact psychology journals, Mackelprang et al. (2023) compared the share of women authors with a base rate of women among psychology professors. However, this descriptive comparison provides limited insight into the actual gender disparity. The authors emphasize the need to avoid outcome-dependent selection and suggest an alternative approach for a more accurate understanding of gender disparities in academia.
What is the gender gap in invited publications in high-impact psychology journals? To answer this critical question, Mackelprang et al. (2023) examined invited publications in five high-impact psychology journals. They first calculated the share of women among authors of the invited publications (35.6%), then compared it with a base rate (42.3%; the share of women among associate and full psychology professors at R1 institutions). This comparison was presented as empirical evidence of women being underrepresented in the authorship of publications in these high-impact journals. In this commentary, we show that comparing these two descriptives-either using a difference or a ratio-provides little insight into the actual gender disparity of interest. A fundamental shortcoming of such a comparison is due to outcome-dependent selection. We explain what outcome-dependent selection is and why it is inappropriate. Crucially, we explain why, following such outcome-dependent selection, comparing the share of women in the selected sample with a base rate rules out drawing valid inferences about the actual gender gap. We urge researchers to recognize the perils of, and thus avoid, outcome-dependent selection. Finally, we suggest an alternative approach that permits a more accurate understanding of gender disparities in academia.

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