Literature DB >> 29733620

Reducing STEM gender bias with VIDS (video interventions for diversity in STEM).

Corinne A Moss-Racusin1, Evava S Pietri2, Erin P Hennes3, John F Dovidio4, Victoria L Brescoll5, Gina Roussos4, Jo Handelsman6.   

Abstract

Gender biases contribute to the underrepresentation of women in STEM. In response, the scientific community has called for methods to reduce bias, but few validated interventions exist. Thus, an interdisciplinary group of researchers and filmmakers partnered to create VIDS (Video Interventions for Diversity in STEM), which are short videos that expose participants to empirical findings from published gender bias research in 1 of 3 conditions. One condition illustrated findings using narratives (compelling stories), and the second condition presented the same results using expert interviews (straightforward facts). A hybrid condition included both narrative and expert interview videos. Results of two experiments revealed that relative to controls, VIDS successfully reduced gender bias and increased awareness of gender bias, positive attitudes toward women in STEM, anger, empathy, and intentions to engage in behaviors that promote gender parity in STEM. The narratives were particularly impactful for emotions, while the expert interviews most strongly impacted awareness and attitudes. The hybrid condition reflected the strengths of both the narratives and expert interviews (though effects were sometimes slightly weaker than the other conditions). VIDS produced substantial immediate effects among both men and women in the general population and STEM faculty, and effects largely persisted at follow-up. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Entities:  

Mesh:

Year:  2018        PMID: 29733620     DOI: 10.1037/xap0000144

Source DB:  PubMed          Journal:  J Exp Psychol Appl        ISSN: 1076-898X


  4 in total

Review 1.  Gender in Science, Technology, Engineering, and Mathematics: Issues, Causes, Solutions.

Authors:  Tessa E S Charlesworth; Mahzarin R Banaji
Journal:  J Neurosci       Date:  2019-08-01       Impact factor: 6.167

2.  Interview with an avatar: Comparing online and virtual reality perspective taking for gender bias in STEM hiring decisions.

Authors:  Cassandra L Crone; Rachel W Kallen
Journal:  PLoS One       Date:  2022-06-07       Impact factor: 3.752

Review 3.  Diversity Training Goals, Limitations, and Promise: A Review of the Multidisciplinary Literature.

Authors:  Patricia G Devine; Tory L Ash
Journal:  Annu Rev Psychol       Date:  2021-07-19       Impact factor: 24.137

4.  Why Antibias Interventions (Need Not) Fail.

Authors:  Toni Schmader; Tara C Dennehy; Andrew S Baron
Journal:  Perspect Psychol Sci       Date:  2022-05-17
  4 in total

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