Measuring the invisible: Development and multi‐industry validation of the Gender Bias Scale for Women Leaders

Amy B. Diehl · Amber L. Stephenson · Leanne M. Dzubinski · David Wang

71 citations0/0 files storedHuman Resource Development Quarterly

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Gender Diversity and Inequality Career Development and Diversity Social and Intergroup Psychology

Abstract

Abstract Gender bias is a pervasive problem with significant negative outcomes for women leaders and organizations. Bias manifests in a multiplicity of forms, ranging from subtle to overt. To date, no instrument exists to measure women leaders' perceptions of gender bias. This study presents a comprehensive measure of how women leaders perceive and experience gender bias. Drawing from a national sample of female higher education executives (n = 488), faith‐based organization leaders (n = 298), physicians (n = 293), and attorneys (n = 527), the present research developed and validated the Gender Bias Scale for Women Leaders. Building upon a previously established and expansive cross‐level conceptual framework to develop the initial item pool, results from both exploratory and confirmatory factor analysis supported a factor structure consisting of six higher‐order and 15 lower‐order factors. Our results show that several factors of the Gender Bias Scale correlated with workplace outcomes of turnover intention and satisfaction. Human resource development (HRD) professionals may use the Gender Bias Scale to identify the specific types of bias prevalent for women leaders in their organizations and apply interventions accordingly. Implications for women leaders and HRD professionals and recommendations for future research are discussed.

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References

2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.2012Principles and Practice of Structural Equation Modeling 2014Constructing grounded theory 2011Sources of Method Bias in Social Science Research and Recommendations on How to Control It 2007Confirmatory factor analysis for applied research 2020Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis 2002Role congruity theory of prejudice toward female leaders.2004A Beginner's Guide to Structural Equation Modeling

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