Assessing the Affective, Cognitive, and Behavioral Consequences of Men Recognizing Subtle Gender Bias Against Women in STEM – UROP Summer Symposium 2021

Assessing the Affective, Cognitive, and Behavioral Consequences of Men Recognizing Subtle Gender Bias Against Women in STEM

Udoka Nwansi

Udoka Nwansi

Pronouns: She/Her/Hers

UROP Fellowship: WAGSFP
Research Mentor(s): Desiree Aleibar, PhD Student and Denise Sekaquaptewa, PhD
Research Mentor Institution/Department: College of Literature, Science, and the Arts, Department of Psychology

Presentation Date: Wednesday, August 4th
Session: Session 2 (4pm-4:50pm EDT)
Breakout Room: Room 2
Presenter: 2

Event Link

Abstract

Women in Science, Technology, Engineering, and Mathematics (STEM) frequently encounter gender bias (e.g., questioning of their STEM ability, assignment to secretarial roles). Given the subtle and ambiguous nature of contemporary sexism, people vary in their likelihood of recognizing subtly sexist interactions. Past research demonstrates that women are more sensitive to gender bias and more likely to perceive it. However, there remains a dearth of research related to men’s experiences in witnessing bias. In the present research, we ask: what are the (1) affective, (2) cognitive, and (3) behavioral consequences of perceiving subtle gender bias during group tasks? STEM identified men read a fake transcript depicting a conversation between 3 STEM identified college students (1 woman, 2 men). Participants read a transcript in which a man demonstrates subtle gender bias against a woman. After reading the transcript, participants completed measures related to their affect (state and collective), their impressions of the interaction and members of the group (open and closed ended), behavioral measures related to the students in the transcript, and exploratory individual difference measures (e.g., personal attitudes related to sexism). Open ended responses were coded to determine recognition of bias. Findings and implications for this work are discussed.

Authors: Udoka Nwansi, Desiree Aleibar, Denise Sekaquaptewa
Research Method: Survey Research

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