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Development and Validation of the Workplace Climate and Persistence Scale for STEM Faculty Framed in Intersectionality of Gender, Race/Ethnicity, and Socioeconomic Background

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Abstract

Gender disparities in Science, Technology, Engineering, and Mathematics (STEM) faculty composition remain a major issue in U.S. higher education. Specifically, the underrepresentation of women of color has been described as a crisis. We developed the Workplace Climate and Persistence Scale (WCPS) for STEM faculty to assess departmental-level climate factors associated with faculty persistence, using a framework of the intersectionality of gender, race/ethnicity, and socioeconomic background. To validate the WCPS, we conducted analyses for construct validity, internal consistency reliability, and criterion validity evidence using data from 394 STEM faculty at three universities. Exploratory and confirmatory factor analyses resulted in 43 items loading across nine factors in a good model fit range. The nonlinear SEM reliability coefficients ranged from .811 to .971, with the overall Omega = .991. The correlation matrix indicated that the WCPS differentiates STEM faculty’s perceptions by multiple social identities. We expect the WCPS to help administrators identify where to target approaches to improve climate and assess the effectiveness of such interventions.

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Data Availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

  • Aldridge, J. M., & McChesney, K. (2018). The relationships between school climate and adolescent mental health and wellbeing: A systematic literature review. International Journal of Educational Research, 88, 121–145.

    Article  Google Scholar 

  • Aldridge, J., Yoon, S. Y., Cox, M. F., Main, J. B., & McGee, E. O. (2019a). Development of the persistence of engineers in the academy survey (PEAS). In: Proceedings of the 126th American Society for Engineering Education (ASEE) Annual Conference and Exposition, Tampa, FL, USA.

  • Aldridge, J., Yoon, S. Y., Cox, M. F., McGee, E. O., & Main, J. B., (2019b). Work climate: Comparison of science and engineering faculty perceptions by gender. In: Proceedings of the IEEE Frontiers in Education (FIE) Annual Conference, Cincinnati, OH, USA.

  • Alfred, M. V., Ray, S. M., & Johnson, M. A. (2019). Advancing women of color in STEM: An imperative for U.S. global competitiveness. Advances in Developing Human Resources, 21(1), 114–132.

    Article  Google Scholar 

  • American Educational Research Association, American Psychological Association, & National Council on Measurement in Education [AERA, APA, & NCME]. (2014). Standards for educational and psychological testing. AERA.

    Google Scholar 

  • Armstrong, M. A., & Jovanovic, J. (2015). Starting at the crossroads: Intersectional approaches to institutionally supporting underrepresented minority women STEM faculty. Journal of Women and Minorities in Science and Engineering, 21(2), 141–157.

    Article  Google Scholar 

  • August, L., & Waltman, J. (2004). Culture, climate, and contribution: Career satisfaction among female faculty. Research in Higher Education, 45(2), 177–192.

    Article  Google Scholar 

  • Baltes, B., Zhdanova, L., & Parker, C. (2009). Psychological climate: A comparison of organizational and individual level referents. Human Relations, 62(5), 669–700.

    Article  Google Scholar 

  • Bauer, G. R., Churchill, S. M., Mahendran, M., Walwyn, C., Lizotte, D., & Villa-Rueda, A. A. (2021). Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods. SSM - Population Health, 14, 100798–100798. https://doi.org/10.1016/j.ssmph.2021.100798

    Article  Google Scholar 

  • Bettencourt, G. M. (2021). “I belong because it wasn’t made for me”: Understanding working-class students’ sense of belonging on campus. The Journal of Higher Education, 92(5), 760–783.

    Article  Google Scholar 

  • Benzer, J., & Horner, M. (2015). A meta-analytic integration and test of psychological climate dimensionality. Human Resource Management, 54(3), 457–482.

    Article  Google Scholar 

  • Blanton, R., & Ewalt, J. P. (2014). Rhetorical maneuvers: Reflections on being blue collar in an academic world. In C. Siegel, (Ed.), Rhizomes 27: Working-class academics: Theories, mythologies, realities.

  • Bilimoria, D., Joy, S., & Liang, S. (2008). Breaking barriers and creating inclusiveness: Lessons of organizational transformation to advance women faculty in academic science and engineering. Human Resource Management, 47(4), 423–441.

    Article  Google Scholar 

  • Bilimoria, D., & Liang, X. (2014). Effective practices to increase women’s participation, advancement, and leadership in U.S. academic STEM. In D. Bilimoria & L. Lord (Eds.), Women in STEM careers: International perspectives on increasing workforce participation, advancement, and leadership (pp. 146–165). Edward Elgar.

    Chapter  Google Scholar 

  • Brown, S. P., & Leigh, T. W. (1996). A new look at psychological climate and its relationship to job involvement, effort, and performance. Journal of Applied Psychology, 81, 358–368.

    Article  Google Scholar 

  • Buse, K., & Bilimoria, D. (2014). Women persisting in the engineering profession: The role of the ideal self and engagement. In D. Bilimoria & L. Lord (Eds.), Women in STEM careers: International perspectives on increasing workforce participation, advancement and leadership (pp. 16–38). Edward Elgar.

    Google Scholar 

  • Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press.

    Google Scholar 

  • Callister, R. R. (2006). The Impact of gender and department climate on job satisfaction and intentions to quit for faculty in science and engineering fields. Journal of Technology Transfer, 31(3), 367–375.

    Article  Google Scholar 

  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105. https://doi.org/10.1037/h0046016

    Article  Google Scholar 

  • Casad, B. J., Franks, J. E., Garasky, C. E., Kittleman, M. M., Roesler, A. C., Hall, D. Y., & Petzel, Z. W. (2021). Gender inequality in academia: Problems and solutions for women faculty in STEM. Journal of Neuroscience Research, 99(1), 13–23.

    Article  Google Scholar 

  • Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245–276.

    Article  Google Scholar 

  • Ceci, S. J. (2018). Women in academic science: Experimental findings from hiring studies. Educational Psychologist, 53(1), 22–41.

    Article  Google Scholar 

  • Ceci, S. J., & Williams, W. M. (2015). Women have substantial advantage in stem faculty hiring, except when competing against more-accomplished men. Frontiers in Psychology, 6, 1532–1532.

    Article  Google Scholar 

  • Cheryan, S., Ziegler, S. A., Montoya, A. K., & Jiang, L. (2017). Why are some STEM fields more gender balanced than others? Psychological Bulletin, 143(1), 1–35.

    Article  Google Scholar 

  • Clark, L. A., & Watson, D. (1995). Constructing validity: Basic issues in objective scale development. Psychological Assessment, 7(3), 309–319.

    Article  Google Scholar 

  • Clark, L. A., & Watson, D. (2019). Constructing validity: New developments in creating objective measuring instruments. Psychological Assessment, 31(12), 1412–1427.

    Article  Google Scholar 

  • Collaborative On Academic Careers in Higher Education [COACHE]. (2020). Faculty job satisfaction survey. https://coache.gse.harvard.edu/faculty-job-satisfaction-survey

  • Crenshaw, K. (1991). Mapping the margins: Intersectionality, identity politics, and violence against women of color. Stanford Law Review, 43(6), 1241–1299.

    Article  Google Scholar 

  • D’Amato, A., & Zijlstra, F. (2008). Psychological climate and individual factors as antecedents of work outcomes. European Journal of Work and Organizational Psychology, 17(1), 33–54.

    Article  Google Scholar 

  • Davis, K. (2008). Intersectionality as buzzword: A sociology of science perspective on what makes a feminist theory successful. Feminist Theory, 9(1), 67–85.

    Article  Google Scholar 

  • DeAro, J., Bird, S., & Mitchell, R. S. (2019). NSF advance and gender equity: Past, present and future of systemic institutional transformation strategies. Equality, Diversity and Inclusion, 38(2), 131–139.

    Article  Google Scholar 

  • Deci, E. (1975). Intrinsic motivation. Plenum Press.

    Book  Google Scholar 

  • Dillman, D. A., Smyth, J. D., & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: The tailored design method (4th ed.). Wiley.

    Google Scholar 

  • Else-Quest, N. M., & Hyde, J. S. (2016a). Intersectionality in quantitative psychological research: I. Theoretical and epistemological issues. Psychology of Women Quarterly, 40(2), 155–170.

    Article  Google Scholar 

  • Else-Quest, N. M., & Hyde, J. S. (2016b). Intersectionality in quantitative psychological research: II. Methods and techniques. Psychology of Women Quarterly, 40(3), 319–336.

    Article  Google Scholar 

  • Field, A. (2009). Discovering statistics using SPSS (3rd ed.). SAGE Publications Ltd.

    Google Scholar 

  • Gardner, S. K. (2012). “I couldn’t wait to leave the toxic environment”: A mixed methods study of women faculty satisfaction and departure from one research institution. NASPA Journal about Women in Higher Education, 5(1), 71–95.

    Article  Google Scholar 

  • Garson, G. D. (2019). Multilevel modeling: Applications in STATA®, IBM® SPSS®, SAS®, R, & HLM™. SAGE Publications Ltd.

    Google Scholar 

  • Glater, J. D. (2015). Student debt and higher education risk. California Law Review, 103(6), 1561–1614.

    Google Scholar 

  • Glater, J. D. (2017). To the rich go the spoils: Merit, money, and access to higher education. Journal of College of University Law, 43, 195–226.

    Google Scholar 

  • Glick, W. H. (1985). Conceptualizing and measuring organizational and psychological climate: Pitfalls in multilevel research. The Academy of Management Review, 10(3), 601–616. https://doi.org/10.5465/AMR.1985.4279045

    Article  Google Scholar 

  • Griffin, K. A., & Museus, S. D. (2011). Using mixed methods to study intersectionality in higher education: New directions in institutional research, number 151 (Vol 113). Wiley.

    Google Scholar 

  • Hagedorn, L. S. (2000). Conceptualizing faculty job satisfaction: Components, theories, and outcomes. New Directions for Institutional Research, 27, 5–20.

    Article  Google Scholar 

  • Haney, T. J. (2015). Factory to faculty: Socioeconomic differences and the educational experiences of university professors. Canadian Review of Sociology, 52(2), 160–186.

    Article  Google Scholar 

  • Hurtado, S., & Figueroa, T. (2013). Appendix A-2: Women of color among STEM faculty: Experiences in academia. In National Research Council. Seeking solutions: Maximizing American talent by advancing women of color in academia: Summary of a conference. The National Academies Press.

  • IBM Corp. (2017). IBM SPSS statistics for windows, version 25.0. IBM Corp.

    Google Scholar 

  • Iliescu, D., & Greiff, S. (2021). Editorial on consequential validity. European Journal of Psychological Assessment, 37(3), 163–166. https://doi.org/10.1027/1015-5759/a000664

    Article  Google Scholar 

  • James, L. R., Choi, C. C., Ko, C. E., McNeil, P. K., Minton, M. K., Wright, M. A., & Kim, K. (2008). Organizational and psychological climate: A review of theory and research. European Journal of Work and Organizational Psychology, 17(1), 5–32. https://doi.org/10.1080/13594320701662550

    Article  Google Scholar 

  • Joyce, W. F., Slocum, J. W., & Von Glinow, M. A. (1982). Person–situation interaction: Competing models of fit. Journal of Occupational Behaviour, 3, 265–280.

    Article  Google Scholar 

  • Lee, E. M. (2017). “Where people like me don’t belong”: Faculty members from low-socioeconomic backgrounds. Sociology of Education, 93(3), 197–212.

    Article  Google Scholar 

  • Lewis, J. A., & Neville, H. A. (2015). Construction and initial validation of the gendered racial microaggressions scale for Black women. Journal of Counseling Psychology, 2, 289–302.

    Article  Google Scholar 

  • Litwin, G. H., & Stringer, R. A. (1968). Motivation and organization climate. Harvard University.

    Google Scholar 

  • Liu, S. N. C., Brown, S. E., & Sabat, I. E. (2019). Patching the “leaky pipeline”: Interventions for women of color faculty in STEM academia. Archives of Scientific Psychology, 7(1), 32–39.

    Article  Google Scholar 

  • Main, J. B., McGee, E. O., Cox, M. F., Tan, L., & Berdanier, C. G. P. (2022). Trends in the underrepresentation of women of color faculty in engineering (2005–2018). Journal of Diversity in Higher Education. https://doi.org/10.1037/dhe0000426

    Article  Google Scholar 

  • Main, J. B., Tan, L., Cox, M. F., McGee, E. O., & Katz, A. (2020). The correlation between undergraduate student diversity and the representation of women of color faculty inengineering. Journal of Engineering Education, 109(4), 843–864. https://onlinelibrary.wiley.com/doi/10.1002/jee.20361

    Article  Google Scholar 

  • Malcom, L. E., & Malcom, S. M. (2011). The double bind: The next generation. Harvard Educational Review, 81(2), 162–172.

    Article  Google Scholar 

  • Martin, G. L., Smith, M. J., & Williams, B. M. (2018a). Reframing deficit thinking on social class. New Directions for Student Services, 162, 87–93.

    Article  Google Scholar 

  • Martin, G. L., Williams, B., & Reynolds Young, C. (2018b). Understanding social class as identity. New Directions for Student Services, 2018(162), 9–18.

    Article  Google Scholar 

  • Mathews, K. R. (2013). Understanding faculty survey nonrespondents: Their characteristics, organizational citizenship behaviors, workplace attitudes, and reasons for nonparticipation. Unpublished doctoral Dissertations. ProQuest(AAI3592335).

  • McGee, E. O., Main, J., Miles, M. L., & Cox, M. (2020). An intersectional approach to investigating persistence among women of color tenure-track engineering faculty. Journal of Women and Minorities in Science and Engineering, 27(1), 57–84. https://doi.org/10.1615/JWomenMinorScienEng.2020035632

    Article  Google Scholar 

  • Menachemi, N. (2011). Assessing response bias in a web survey at a university faculty. Evaluation & Research in Education, 24(1), 5–15.

    Article  Google Scholar 

  • Misra, J., Mickey, E. L., Kanelee, E. S., & Smith-Doerr, L. (2022). Creating inclusive department climates in STEM fields: Multiple faculty perspectives on the same departments. Journal of Diversity in Higher Education. https://doi.org/10.1037/dhe0000402

    Article  Google Scholar 

  • Morrel-Samuels, P. (2002). Getting the truth into workplace surveys. Harvard Business Review, 80(2), 111–118.

    Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (7th edn). Muthén & Muthén.

  • National Academies Press. (2013). Statistics on the career pathways of women of color faculty in academia. In Seeking solutions: Maximizing American talent by advancing women of color in academia: Summary of a conference.

  • National Science Foundation. (2017). ADVANCE: Increasing the participation and advancement of women in academic science, technology, engineering, and mathematics careers. https://www.nsf.gov/ehr/Materials/ADVANCEBrochure.pdf

  • Netemeyer, R. G., Bearden, W. O., & Sharma, S. (2003). Scaling procedures. Sage.

    Book  Google Scholar 

  • O’Neill, B. S., & Arendt, L. A. (2008). Psychological climate and work attitudes: The importance of telling the right story. Journal of Leadership and Organizational Studies, 14(4), 353–370.

    Article  Google Scholar 

  • Owens, J., Kottwitz, C., Tiedt, J., & Ramirez, J. (2018). Strategies to attain faculty work-life balance. Building Healthy Academic Communities Journal, 2(2), 58–73.

    Article  Google Scholar 

  • Parker, C. P., Baltes, B. B., Young, S. A., Huff, J. W., Altmann, R. A., Lacost, H. A., & Roberts, J. E. (2003). Relationships between psychological climate perceptions and work outcomes: A meta-analytic review. Journal of Organizational Behavior, 24, 389–416.

    Article  Google Scholar 

  • Patterson, M. G., West, M. A., Shackleton, V. J., Dawson, J. F., Lawthorn, R., Maitlis, S., Robinson, D. L., & Wallace, A. M. (2005). Validating the organizational climate measure: Links to managerial practices, productivity and innovation. Journal of Organizational Behavior, 26(4), 379–408.

    Article  Google Scholar 

  • Pedersen, D. E., & Minnotte, K. L. (2017). Workplace climate and STEM faculty women’s job burnout. Journal of Feminist Family Therapy, 29(1/2), 45–65.

    Article  Google Scholar 

  • Pedersen, D. E., & Minnotte, K. L. (2018). University service work in STEM departments: Gender, perceived injustice, and consequences for faculty. Sociological Focus, 51(3), 217–237.

    Article  Google Scholar 

  • Pew Research Center. (n.d). Questionnaire design. https://www.pewresearch.org/methods/u-s-survey-research/questionnaire-design/

  • Philpot, J., & Barak, K. S. (2014). As long as you think we are White: Our experience as working class academics in the humanities. Rhizomes, 27(1), 1–49.

    Google Scholar 

  • Rios, D., & Stewart, A. J. (2015). Insider and outsider-within standpoints: The experiences of diverse faculty in science and engineering fields. Journal of Women and Minorities in Science and Engineering, 21(4), 295–322.

    Article  Google Scholar 

  • Sabharwal, M., & Corley, E. A. (2009). Faculty job satisfaction across gender and discipline. The Social Science Journal, 46, 539–556.

    Article  Google Scholar 

  • Salgado, J. F. (2017). Bandwidth-fidelity dilemma. In V. Zeigler-Hill & T. Shackelford (Eds.), Encyclopedia of personality and individual differences. Cham: Springer.

    Google Scholar 

  • Schneider, B., Ehrhart, M. G., & Macey, W. H. (2013). Organizational climate and culture. Annual Review of Psychology, 64, 361–388. https://doi.org/10.1146/annurev-psych-113011-143809

    Article  Google Scholar 

  • Sherbin, L., & Rashid, R. (2017). Diversity doesn’t stick without inclusion. Harvard Business Review Digital Articles, 2(5).

  • Siegel, C. (2014). Still unbroken. In C. Siegel (Ed.), Rhizomes 27: Working-class academics: Theories, mythologies, realities. http://rhizomes.net/issue27/index.html

  • Stevens, J. P. (2002). Applied multivariate statistics for the social sciences (4th ed.). Erlbaum.

    Google Scholar 

  • Tiffe, R. (2014). Nuanced White trash: Embodying class, moving through time, and caretaking in the neoliberal university. Rhizomes, 27(1), 1–45.

    Google Scholar 

  • Thomas, N. R., Poole, D. J., & Herbers, J. M. (2015). Gender in science and engineering faculties: Demographic inertia revisited. PLoS ONE, 10(10), e0139767.

    Article  Google Scholar 

  • Toprak, M., & Karakus, M. (2018). Psychological climate in organizations: A systematic review. European Journal of Psychology and Educational Research, 1(1), 43–52.

    Article  Google Scholar 

  • University of Michigan ADVANCE Program. (2018). Assessing the academic work environment for tenured/tenure-track faculty at the University of Michigan in 2012 and 2017: Gender, race, & discipline in department- and university-related climate. https://advance.umich.edu/research/

  • Waterfield, B., Beagan, B. L., & Mohamed, T. (2019). “You always remain slightly an outsider”: Workplace experiences of academics from working-class or impoverished backgrounds. Canadian Review of Sociology [revue Canadienne De Sociologie], 56(3), 368–388.

    Article  Google Scholar 

  • Williams, B. M., & Martin, G. (2021). Exploring the rhetoric of social class among first-generation, low-income college students in U.S. higher education. Higher Education Research & Development, 1–14.

  • Women in Science & Engineering Leadership Institute. (2019). Results from 2019 study of faculty worklife at UW-Madison: Tenured and tenure-track faculty. https://wiseli.wisc.edu/research/sfw/

  • Wright, T. A., Quick, J. C., Hannah, S. T., & Blake, H. M. (2017). Best practice recommendations for scale construction in organizational research: The development and initial validation of the character strength inventory (CSI). Journal of Organizational Behavior, 38(5), 615–628.

    Article  Google Scholar 

  • Yang, Y., & Green, S. B. (2011). Coefficient alpha: A reliability coefficient for the 21st century? Journal of Psychoeducational Assessment, 29(4), 377–392.

    Article  Google Scholar 

  • Yang, Y., & Green, S. B. (2015). Evaluation of structural equation modeling estimates of reliability for scales with ordered categorical items. Methodology, 11(1), 23–34.

    Article  Google Scholar 

  • Yost, E., Handley, D., Cotten, S., & Winstead, V. (2010). Understanding the links between mentoring and self-efficacy in the new generation of women STEM scholars. In A. Caster-Steel & E. Carter (Eds.), Women in engineering, science and technology: Education and career challenges (pp. 97–114). York: IGI Global.

    Chapter  Google Scholar 

  • Zohar, D., & Hofmann, D. (2012). Organizational culture and climate. In S. W. J. Kozlowski (Ed.), Oxford library of psychology. The Oxford handbook of organizational psychology (Vol. 1, pp. 643–666). Oxford: Oxford University Press.

    Google Scholar 

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Acknowledgements

This work was made possible by Grants from the National Science Foundation (1535456 and 1712618). Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Preliminary findings of this article appeared in a paper presented at the 2019 American Society of Engineering Education (ASEE) Annual Conference, Tampa, FL, USA.

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Yoon, S.Y., Aldridge, J.L., Cox, M.F. et al. Development and Validation of the Workplace Climate and Persistence Scale for STEM Faculty Framed in Intersectionality of Gender, Race/Ethnicity, and Socioeconomic Background. Res High Educ 64, 933–958 (2023). https://doi.org/10.1007/s11162-022-09724-5

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