Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-22T04:23:51.207Z Has data issue: false hasContentIssue false

Activism or science? Navigating the tension between objectivity and advocacy in DEI research

Published online by Cambridge University Press:  19 November 2024

Logan M. Steele*
Affiliation:
Boise State University, Boise, USA
Paul E. Spector
Affiliation:
University of South Florida, Tampa, USA
*
Corresponding author: Logan M. Steele; Email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Type
Commentaries
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Society for Industrial and Organizational Psychology

We are in full agreement with Follmer et al.’s (Reference Follmer, Sabat, Jones and King2024) call for research to examine the effects of diversity, equity, and inclusion (DEI) policies and programs. DEI encompasses a large number of activities, and research about the specific effects and effectiveness of these activities is needed to better inform legislation and policy. The mission statement of SIOP is “to enhance human well-being and performance in organizational and work settings” (SIOP, n.d., para. 2). To fulfill that mission, we should strive to know exactly what works, what does not work, and what the unintended consequences are of specific interventions. Further, to ensure the acquisition of that knowledge actually influences the stakeholders who Follmer et al. describe, particularly those who oppose DEI efforts, industrial and organizational (I-O) psychologists must execute this research in a way that allows us, as stated in SIOP’s values statement, to “serve as the trusted authority for the science of psychology applied to the workplace” (SIOP, n.d., para. 3). Thus, although we agree with Follmer et al.’s exhortation to empirically examine the effects of (and withdrawal from) DEI efforts, we believe that activism should be considered separate from a research agenda. Scholars should strive not to have a vested interest in the results of their research. It is about asking important questions (Nosek, Reference Nosek2021; Tihanyi, Reference Tihanyi2020), not trying to prove a point that may have an ideological basis. Below, we describe three deleterious consequences of simultaneously pursuing science and activism, and we provide six recommendations for conducting DEI research that is both credible and impactful.

Adverse effects on research

Trying to pursue science and activism simultaneously will make it more challenging to conduct the kind of rigorous and unbiased research that Follmer et al. seek. Early philosophers of science, such as Francis Bacon and William Whewell (Losee, Reference Losee2010; Snyder, Reference Snyder2023), argued that the primary aim of empirical science is to understand and build knowledge about the natural world. This is done by introducing systematic data collection procedures, ideally planned in advance. Many of the practices that we use today in our scientific research were put in place to reduce subjectivity and mitigate the myriad biases people are prone to in the acquisition of knowledge. For example, null hypothesis significance testing (although admittedly flawed) helps to introduce an objective standard by which researchers are able to make claims, and standardized measurement adds a consistently applied procedure in collecting observations that can be replicated by other researchers. As another example, the contemporary open science movement is designed to reduce bias and subjectivity by preregistering procedures and increasing transparency, both limiting a researcher’s ability to make unwarranted claims based on ad hoc, idiosyncratic interpretations of results.

Researchers ideally begin a project with an open mind about what the results might be. Investigations ought to be a search for truth, not an attempt to find evidence to support one’s personal beliefs and values. When we see our research as doing the work of activism, we accentuate some of the very biases that scientific methods were intended to attenuate, not the least of which is confirmation bias. It is clear from Follmer et al.’s article that they presume to know the results of the studies that they propose. That is what allows them to conclude that research (along with activism) will “stimy these regressive policies” (p. 42). How could one draw this conclusion without presuming that future results will support their existing beliefs? From the activist perspective, empirical evidence is wielded as a tool for advocacy rather than a means for testing a research question in good faith.

To presume the results of tests of DEI policies and programs is to ignore the possibility of being wrong. However, it is common in science (including DEI research) that the proposed positive effects of an intervention fail to materialize, and unintended negative consequences emerge (Sitzmann & Schwartz, Reference Sitzmann and Schwartz2024). Leslie (Reference Leslie2019) outlines several possible unintended consequences of diversity initiatives, and these go beyond the backlash effects among majority group members that Follmer et al. mention in their section “Motivations for Dismantling DEI Policies.” For instance, at the risk of stating the obvious, diversity is difficult to manage (Leslie et al., Reference Leslie, Flynn, Foster-Gimbel and Manchester2023; van Knippenberg & Schippers, Reference van Knippenberg and Schippers2007). More diversity does not necessarily mean better business outcomes or innovation (van Knippenberg et al., Reference van Knippenberg, Nishii and Dwertmann2020). In some studies, diversity has been shown to have negative effects on group performance (van Knippenberg et al., Reference van Knippenberg, De Dreu and Homan2004). Only when it is effectively managed can diversity (particularly deep-level diversity) improve business outcomes and innovation (Chen et al., Reference Chen, Hsu, Lee and Mack2024; Homan et al., Reference Homan, Gündemir, Buengeler and van Kleef2020).

As another example, in research funded by SIOP’s anti-racism grant, Derricks and her colleagues found that organizational recruitment efforts targeting Black Americans “backfire by activating concerns about being tokenized” (Carle, 2022, para. 20). Thus, it is not just backlash effects among majority group members that are worth considering; it is that DEI policies and programs could unintentionally be detrimental to the very people that they are aimed to support. These findings are consistent with work by Gray et al. (Reference Gray, Spector, Lacey, Young, Jacobsen and Taylor2020) on unhelpful help, which involves well-meaning attempts to help someone that, in reality, makes things worse. Similarly, a recent paper found that “well-intentioned or not, asking members of marginalized groups to approach discussions of intergroup issues and policies through the specific lens of their personal experiences may be subtly undermining” (Vorauer & Petsnik, Reference Vorauer and Petsnik2023, p. 135).

Good intentions often go awry as all interventions have unintended consequences (Watts et al., Reference Watts, Gray and Medeiros2022). Seeing oneself as both activist and scientist likely closes one’s mind to the possibility that a certain DEI program or policy can have unintended negative consequences or might not be effective at all.

Suppressing results that do not support the cause

Trying to pursue science and activism simultaneously will increase the temptation to suppress unfavorable evidence. Follmer et al. argue that “I-O psychologists have a responsibility to stand up against these attacks [on DEI] … the community cannot stand by idly” (p. 41). Although we agree that I-O psychologists have a role to play in informing the debate around DEI efforts, conflating research and activism can lead researchers who see themselves as activists to approach their work with a predetermined conclusion in mind rather than letting the evidence speak for itself. When one approaches research with a closed mind, contraindicating evidence can be discounted in two ways.

First, it is likely to be seen as counterproductive to promoting one’s cause. Consequently, researchers who see their work as a form of activism are likely to be tempted to suppress any evidence they gather that does not align with their preconceptions. This creates a sort of self-imposed file drawer problem, leading to an inaccurate state of knowledge in the published literature. The issue of suppressing evidence extends beyond the data that one gathers oneself. It also encompasses efforts to censor contraindicating evidence gathered by others. The second author of this commentary recalls an incident in the 1980s with one of his students who submitted her thesis results to a journal. Today, we have dozens of studies showing physical attractiveness is an advantage in hiring, but hers was one of the first such studies. The journal rejected her paper with one reviewer arguing that this line of research should not be published because results could harm the feminist cause. Along these lines, recent research suggests that scientific censorship is “often impelled by prosocial concerns” (Clark et al., Reference Clark, Jussim, Frey, Stevens, Al-Gharbi, Aquino, Bailey, Nicole Barbaro, Baumeister, April Bleske-Rechek, Buss, Ceci, Del Giudice, Ditto, Forgas, Geary, Geher, Haider, Honeycutt and von Hippel2023, p. 1).

Second, adopting an activist perspective can make it easy to rationalize questionable research practices like p-hacking. If one “knows” that a certain relationship exists, it seems reasonable to massage and manipulate the data until statistical significance is found. Further, it is easy to ignore disconfirming evidence by finding reasons to discount it while overinterpreting evidence that appears to support one’s preconceptions.

Credibility

Trying to pursue science and activism simultaneously will reduce the credibility of DEI research. Follmer et al. suggest that the accumulation of scientific evidence in favor of DEI programs and policies will help to persuade individuals and organizations of their value and this, in turn, will reverse the recent wave of anti-DEI legislation. Let us entertain the possibility that over the next 5 to 10 years, such favorable evidence accumulates rapidly and unambiguously. Simply because this evidence has been amassed does not mean that the stakeholders Follmer et al. described will believe it. In order to conduct science that is trustworthy and persuasive to the kind of stakeholders who are promoting anti-DEI legislation and policies, I-O psychologists should strive to be beyond reproach. We ought to earn trust by being seen as serious scientists who conduct our research in good faith and who are presenting unbiased results to the best of our abilities. Calling ourselves activists is anathema to that goal. Doing so will undermine our credibility as trusted sources who can be relied upon to provide accurate scientific information.

Recommendations for conducting influential research

We echo Follmer et al.’s call for more DEI research, but we recommend that it be divorced from activism. We have six suggestions for building credibility as we conduct research on DEI topics.

  1. 1. Be careful with terminology. Follmer et al. use the term “DEI” throughout their article to refer to various policies, programs, and initiatives, ranging from support for abortion access to diversity training, affirmative action, and inclusive recruitment practices, but they do not provide a clear, explicit definition of what DEI encompasses. Indeed, we see recent instances in the literature of multiple interpretations of this term (e.g., Thomason et al., Reference Thomason, Opie, Livingston and Sitzmann2023; Waldman & Sparr, Reference Waldman and Sparr2023). The lack of specificity can lead to confusion and make it difficult to compare findings across studies. We encourage researchers to consider using terminology that is as specific as possible in referring to particular policies, programs, and ideas. Indeed, it may be preferable to avoid politicized terms like DEI in research reports in favor of more precise language that reflects the activity or program component being investigated.

  2. 2. Focus research on specific activities or programs that can be compared among studies, such as blind resume screening, diversity training content, mentoring program structure, or inclusive leadership development.

  3. 3. Pay attention to the context in which findings are presented. For example, reporting that there is 25% attrition in STEM doctoral programs for women is hard to interpret in isolation. Meaningful comparisons are needed to provide a frame of reference for interpretation. We would reach a different conclusion about the meaning of women’s attrition if men’s attrition is 10% than if it is 50%.

  4. 4. Be as quick to report on positive effects as negative. There is little that undermines credibility faster than only showing results that support your side. Researchers should consider preregistering their studies. This helps to prevent the selective reporting of results and enhances the credibility of the research.

  5. 5. The stakeholders for DEI efforts are everyone, so the impact should be shown on all groups, not just those considered marginalized. The inclusion of everyone in studies of the impact of DEI policies and programs makes it possible to show whether everyone benefits, only some groups benefit, or no one benefits. Researchers should also examine potential differential effects across groups, as some initiatives may benefit certain groups more than others. This can provide a more nuanced understanding of the effects of DEI efforts and inform the development of targeted interventions. It also provides context for interpreting results as in Point 3 above.

  6. 6. Consider engaging in adversarial collaborations. Adversarial collaboration involves researchers with differing views or perspectives working together on a study to test their competing hypotheses or theories (Clark et al., Reference Clark, Costello, Mitchell and Tetlock2022; Kahneman, Reference Kahneman2003). By bringing together researchers who may have different expectations about the effects of DEI initiatives, adversarial collaborations can help to ensure that studies are designed and conducted in a more balanced manner. This approach can also increase the credibility of findings, as it demonstrates a commitment to impartial investigation and a willingness to engage with alternative viewpoints.

SIOP as an organization has an important stake in being seen widely as a trustworthy authority on workplace issues. To build trust with the public and a range of stakeholders, we should make clear that SIOP is concerned first and foremost with providing the best scientific evidence in an unbiased and objective way.

References

Carle, J. (2022, October 25). Anti-racism grant funds targeted recruitment messaging research. SIOP. https://www.siop.org/Annual-Conference/ArtMID/35503/ArticleID/7111/Anti-Racism-Grant-Funds-Targeted-Recruitment-Messaging-ResearchGoogle Scholar
Chen, G., Hsu, P. H., Lee, Y. T., & Mack, D. Z. (2024). How deep-level and surface-level board diversity, formal and informal social structures affect innovation. Journal of Management Studies. https://doi.org/10.1111/joms.13040 CrossRefGoogle Scholar
Clark, C. J., Costello, T., Mitchell, G., & Tetlock, P. E. (2022). Keep your enemies close: Adversarial collaborations will improve behavioral science. Journal of Applied Research in Memory and Cognition, 11, 118.CrossRefGoogle Scholar
Clark, C. J., Jussim, L., Frey, K., Stevens, S. T., Al-Gharbi, M., Aquino, K., Bailey, J. M., Nicole Barbaro, N., Baumeister, R. F., April Bleske-Rechek, A., Buss, D., Ceci, S., Del Giudice, M., Ditto, P. H., Forgas, J. P., Geary, D. C., Geher, G., Haider, S., Honeycutt, N., …, von Hippel, W. (2023). Prosocial motives underlie scientific censorship by scientists: A perspective and research agenda. Proceedings of The National Academy of Sciences of The United States of America, 120(48), e2301642120.CrossRefGoogle ScholarPubMed
Follmer, K., Sabat, I., Jones, K., & King, E. (2024). Under attack: Why and how I-O psychologists should counteract threats to DEI in education and organizations. Industrial and Organizational Psychology, 17.Google Scholar
Gray, C. E., Spector, P. E., Lacey, K. N., Young, B. G., Jacobsen, S. T., & Taylor, M. R. (2020). Helping may be harming: Unintended negative consequences of providing social support. Work & Stress, 34, 359385.CrossRefGoogle ScholarPubMed
Homan, A. C., Gündemir, S., Buengeler, C., & van Kleef, G. A. (2020). Leading diversity: Towards a theory of functional leadership in diverse teams. Journal of Applied Psychology, 105, 11011128.CrossRefGoogle ScholarPubMed
Kahneman, D. (2003). A perspective on judgment and choice: Mapping bounded rationality. American Psychologist, 58, 697720.CrossRefGoogle ScholarPubMed
Leslie, L. M. (2019). Diversity initiative effectiveness: A typological theory of unintended consequences. Academy of Management Review, 44, 538563.CrossRefGoogle Scholar
Leslie, L. M., Flynn, E., Foster-Gimbel, O. A., & Manchester, C. F. (2023). Happy talk: Is common diversity rhetoric effective diversity rhetoric? Academy of Management Journal. https://doi.org/10.5465/amj.2021.1402 Google Scholar
Losee, J. (2010). A historical introduction to the philosophy of science. Oxford.Google Scholar
Nosek, B. (2021). The future of open science: The need to change culture to change science [Webinar]. American Psychological Association. Available at https://www.apa.org/members/content/culture-science Google Scholar
Sitzmann, T., & Schwartz, S. (2024). Why is progress toward diverse representation so slow? Contrasting management practices’ prevalence versus effectiveness for achieving diverse representation. Business Horizons. https://doi.org/10.1016/j.bushor.2024.02.012,CrossRefGoogle Scholar
Snyder, L. J. (2023). William Whewell. E. N. Zalta & U. Nodelman (Eds.), The Stanford encyclopedia of philosophy (Winter 2023 Edition). https://plato.stanford.edu/archives/win2023/entries/whewell/ Google Scholar
Society for Industrial and Organizational Psychology (SIOP). (n.d.). SIOP vision, mission, values, and goals. https://www.siop.org/About-SIOP/Mission Google Scholar
Thomason, B., Opie, T., Livingston, B., & Sitzmann, T. (2023). Woke” diversity strategies: Science or sensationalism? Academy of Management perspectives, 37, 193201.CrossRefGoogle Scholar
Tihanyi, L. (2020). From “that’s interesting” to “that’s important. Academy of Management Journal, 63(2), 329331.CrossRefGoogle Scholar
van Knippenberg, D., De Dreu, C. K., & Homan, A. C. (2004). Work group diversity and group performance: an integrative model and research agenda. Journal of Applied Psychology, 89, 10081022.CrossRefGoogle ScholarPubMed
van Knippenberg, D., Nishii, L. H., & Dwertmann, D. J. G. (2020). Synergy from diversity: Managing team diversity to enhance performance. Behavioral Science & Policy, 6, 7592.CrossRefGoogle Scholar
van Knippenberg, D., & Schippers, M. C. (2007). Work group diversity. Annual Review of Psychology, 58, 515541.CrossRefGoogle ScholarPubMed
Vorauer, J. D., & Petsnik, C. (2023). The disempowering implications for members of marginalized groups of imposing a focus on personal experiences in discussions of intergroup issues. Journal of Personality and Social Psychology, 125, 117140.CrossRefGoogle ScholarPubMed
Waldman, D. A., & Sparr, J. L. (2023). Rethinking diversity strategies: An application of paradox and positive organization behavior theories. Academy of Management Perspectives, 37, 174192.CrossRefGoogle Scholar
Watts, L. L., Gray, B. E., & Medeiros, K. E. (2022). Side effects associated with organizational interventions: A perspective. Industrial and Organizational Psychology, 15, 7694.CrossRefGoogle Scholar