Hostname: page-component-7bb8b95d7b-fmk2r Total loading time: 0 Render date: 2024-09-17T13:47:47.176Z Has data issue: true hasContentIssue false
  • English
  • Français

Descriptives for diversity: Harnessing the potential of Table 1 to advance inclusivity and responsible generalization in psychological research

Published online by Cambridge University Press:  14 December 2021

Maura J. Mills  and
Aditi Rabindra Sachdev
Maura J. Mills
Affiliation:
University of Alabama
Aditi Rabindra Sachdev*
Affiliation:
PepsiCo Inc.
*
*Corresponding author. Email: aditi.sachdev@pepsico.com
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentaries
Information
Industrial and Organizational Psychology , Volume 14 , Issue 4 , December 2021 , pp. 505 - 509
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Criado Perez, C. (2021). Invisible women: Data bias in a world designed for men. Abrams Press.Google Scholar
DeJesus, J. M., Callanan, M. A., Solis, G., & Gelman, S. A. (2019). Generic language in scientific communication. Proceedings of the National Academy of Sciences, 116, 18370–18377.Google Scholar
Islam, S., Chetta, M. H., Martins, A., van Govan, D., Kozikowski, A., & Needhammer, J. (2018). The scientist–practitioner gap among master’s level I-O psychology practitioners: A text-analytic exploration. The Industrial-Organizational Psychologist, 55(3).Google Scholar
Henrich, J., Heine, S. J., & Norenzayan, A. (2010). The weirdest people in the world? Behavioral and Brain Sciences, 33(2–3), 61–135.Google Scholar
Highhouse, S., Zickar, M. J., & Melick, S. R. (2020). Prestige and relevance of the scholarly journals: Impressions of SIOP members. Industrial and Organizational Psychology: Perspectives on Science and Practice, 13(3), 273–290.Google Scholar
Matarazzo, J. D., & Wiens, A. N. (1977). Black Intelligence Test of Cultural Homogeneity and Wechsler Adult Intelligence Scale scores of Black and White police applicants. Journal of Applied Psychology, 62, 57–63.Google Scholar
Mills, M. J., Matthews, R. A., Henning, J. B., & Woo, V. A. (2014). Family-supportive organizations and supervisors: How do they influence employee outcomes and for whom? International Journal of Human Resource Management, 25(12), 1763–1785.Google Scholar
Murphy, K. R. (2021). In praise of Table 1: The importance of making better use of descriptive statistics. Industrial and Organizational Psychology: Perspectives on Science and Practice, 14(4), 461–477.Google Scholar
Roberts, S. O., Bareket-Shavit, C., Dollins, F. A., Goldie, P. D., & Mortenson, E. (2020). Racial inequality in psychological research: Trends of the past and recommendations for the future. Perspectives on Psychological Science, 15(6), 1295–1309.Google Scholar
Rowley, S. J., & Camacho, T. C. (2015). Increasing diversity in cognitive developmental research: Issues and solutions. Journal of Cognition and Development, 16, 683–692.Google Scholar
Ruggs, E. N., Hebl, M. R., Law, C., Cox, C. B., Roehling, M. V., & Wiener, R. L. (2013). Gone fishing: I–O psychologists’ missed opportunities to understand marginalized employees’ experiences with discrimination. Industrial and Organizational Psychology: Perspectives on Science and Practice, 6(1), 39–60.Google Scholar
Williams, R. L. (1972). The Black Intelligence Test of Cultural Homogeneity 100: A culture-specific test. National Institutes of Mental Health.Google Scholar