David R Meldgin, Gregory Mitchell, Frederick L Oswald
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The replication revealed that the male cumulative advantage in the Martell et al. simulation requires (a) decades of typical promotion cycles to produce, (b) constant mean differences in the performance ratings of women and men but equal within-group variances, and (c) attrition that occurs randomly at a low and constant rate. Our extended simulation demonstrates that (a) cumulative effects of gender bias are higher when the attrition rate is lower, (b) gender biases are mitigated when attrition is more strongly associated with good or poor performance, and (c) the cumulative effects of mean gender differences in performance ratings can often be smaller than the cumulative effects of variance differences between gender subgroups. Results suggest that talent development and recognition of high performers might have a greater positive impact on female representation at top levels of a firm than programs aimed at reducing bias in employee evaluations. We encourage additional simulation work that further explores the dynamics of cumulative advantage in employment settings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":15135,"journal":{"name":"Journal of Applied Psychology","volume":" ","pages":"1327-1335"},"PeriodicalIF":9.4000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling gender differences in the job promotion process: Replication and extension of Martell et al. (1996).\",\"authors\":\"David R Meldgin, Gregory Mitchell, Frederick L Oswald\",\"doi\":\"10.1037/apl0001179\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Differences in employee evaluations due to gender bias may be small in any given rating cycle, but they may accumulate to produce large disparities in the number of women and men promoted to the top of an organization. A highly cited simulation by Martell et al. (1996) demonstrates this cumulative advantage process in a multilevel organization. We replicated this simulation to uncover important details about its operating assumptions, and we extended the simulation to examine a range of variables that may impact the cumulative effects of gender bias. The replication revealed that the male cumulative advantage in the Martell et al. simulation requires (a) decades of typical promotion cycles to produce, (b) constant mean differences in the performance ratings of women and men but equal within-group variances, and (c) attrition that occurs randomly at a low and constant rate. Our extended simulation demonstrates that (a) cumulative effects of gender bias are higher when the attrition rate is lower, (b) gender biases are mitigated when attrition is more strongly associated with good or poor performance, and (c) the cumulative effects of mean gender differences in performance ratings can often be smaller than the cumulative effects of variance differences between gender subgroups. Results suggest that talent development and recognition of high performers might have a greater positive impact on female representation at top levels of a firm than programs aimed at reducing bias in employee evaluations. We encourage additional simulation work that further explores the dynamics of cumulative advantage in employment settings. 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Modeling gender differences in the job promotion process: Replication and extension of Martell et al. (1996).
Differences in employee evaluations due to gender bias may be small in any given rating cycle, but they may accumulate to produce large disparities in the number of women and men promoted to the top of an organization. A highly cited simulation by Martell et al. (1996) demonstrates this cumulative advantage process in a multilevel organization. We replicated this simulation to uncover important details about its operating assumptions, and we extended the simulation to examine a range of variables that may impact the cumulative effects of gender bias. The replication revealed that the male cumulative advantage in the Martell et al. simulation requires (a) decades of typical promotion cycles to produce, (b) constant mean differences in the performance ratings of women and men but equal within-group variances, and (c) attrition that occurs randomly at a low and constant rate. Our extended simulation demonstrates that (a) cumulative effects of gender bias are higher when the attrition rate is lower, (b) gender biases are mitigated when attrition is more strongly associated with good or poor performance, and (c) the cumulative effects of mean gender differences in performance ratings can often be smaller than the cumulative effects of variance differences between gender subgroups. Results suggest that talent development and recognition of high performers might have a greater positive impact on female representation at top levels of a firm than programs aimed at reducing bias in employee evaluations. We encourage additional simulation work that further explores the dynamics of cumulative advantage in employment settings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
期刊介绍:
The Journal of Applied Psychology® focuses on publishing original investigations that contribute new knowledge and understanding to fields of applied psychology (excluding clinical and applied experimental or human factors, which are better suited for other APA journals). The journal primarily considers empirical and theoretical investigations that enhance understanding of cognitive, motivational, affective, and behavioral psychological phenomena in work and organizational settings. These phenomena can occur at individual, group, organizational, or cultural levels, and in various work settings such as business, education, training, health, service, government, or military institutions. The journal welcomes submissions from both public and private sector organizations, for-profit or nonprofit. It publishes several types of articles, including:
1.Rigorously conducted empirical investigations that expand conceptual understanding (original investigations or meta-analyses).
2.Theory development articles and integrative conceptual reviews that synthesize literature and generate new theories on psychological phenomena to stimulate novel research.
3.Rigorously conducted qualitative research on phenomena that are challenging to capture with quantitative methods or require inductive theory building.