Intersectional Gender and Race/Ethnicity in Academic Employment: Equity Issues for Behavior Analysts

Overview & Clinical Significance

The composition of university faculty who train the next generation of behavior analysts directly shapes the scientific questions pursued, the populations served, and the cultural responsiveness of the field. When full-time faculty positions are disproportionately held by individuals in non-tenure appointments based on their gender and racial or ethnic identity, the resulting employment insecurity creates downstream effects that ripple through graduate training, research output, and clinical supervision quality.

Employment insecurity in academia manifests primarily through non-tenure-track appointments: lecturer positions, clinical faculty roles, visiting appointments, and other designations that lack the protections and stability of tenure-line positions. These appointments often carry heavier teaching loads, fewer research resources, limited voting rights in departmental governance, and diminished job protections. For behavior analysis faculty, this means less time for the programmatic research that advances evidence-based practice, fewer opportunities to mentor doctoral students through sustained research programs, and reduced institutional influence over curriculum decisions.

The intersectional lens applied in this line of inquiry is particularly important. Intersectionality, a framework developed by Kimberle Crenshaw, recognizes that examining gender alone or race/ethnicity alone obscures the compounded disadvantage experienced by individuals who hold multiple marginalized identities. A Black woman in a non-tenure faculty role experiences qualitatively different employment conditions than either a white woman or a Black man in the same category. The derived variables used in this research, combining gender and race/ethnicity categories, allow analysis of these compounded patterns rather than treating each demographic characteristic in isolation.

For the field of behavior analysis specifically, this research connects to broader concerns about who holds stable academic positions, who generates the research base practitioners rely on, and whose perspectives inform the cultural adaptation of interventions. The Integrated Postsecondary Educational Data System (IPEDS) data spanning 2010 through 2018 provides a robust longitudinal window into these employment patterns at public metropolitan research universities, institutions that train a significant proportion of behavior analysts.

Behavior analysts working in clinical settings may wonder why academic employment patterns matter to their practice. The connection is direct: faculty employment instability reduces the pipeline of culturally diverse researchers, limits the range of clinical populations studied, and constrains the development of assessment and intervention tools that reflect the communities practitioners serve. When faculty who represent diverse backgrounds are concentrated in precarious employment, their capacity to shape the field diminishes regardless of their individual expertise.

Background & Context

The landscape of academic employment in the United States has undergone a fundamental transformation over the past four decades. Tenure-track positions, once the standard pathway for full-time faculty, now represent a shrinking proportion of all academic appointments. This shift toward contingent labor affects every academic discipline, but its intersection with demographic characteristics reveals patterns that demand attention from fields committed to equity and inclusiveness.

Public metropolitan research universities serve as the primary focus of this research for practical and conceptual reasons. These institutions are typically located in diverse urban areas, serve heterogeneous student populations, and produce much of the applied research that informs clinical practice. Their faculty demographics and employment structures therefore have outsized influence on how behavior analysis develops as a discipline and profession.

The IPEDS data provides a standardized reporting framework that allows comparison across institutions and over time. By examining the period from 2010 to 2018, this research captures trends during a period of significant change in higher education, including post-recession budget pressures, evolving accreditation standards, and growing attention to diversity initiatives. The derived variables for intersectional analysis transform standard demographic categories into combinations that reveal otherwise hidden patterns.

Within behavior analysis, the workforce demographics have been a growing focus of discussion. The field has historically been predominantly white and female at the practitioner level, while academic leadership and research prominence have reflected different demographic patterns. Understanding how employment security varies at the intersection of gender and race/ethnicity illuminates structural barriers that shape who advances in the academy and who remains in vulnerable positions.

The concept of employment insecurity extends beyond job loss risk. Faculty in non-tenure positions often experience what researchers describe as institutional marginalization: exclusion from committee work that shapes departmental direction, limited access to graduate student mentoring roles, restricted travel funding for conference presentations, and annual contract renewals that create persistent uncertainty. These conditions affect research productivity, professional development, and the ability to serve as visible role models for students from underrepresented backgrounds.

For BCBAs and other certified professionals, this research provides empirical grounding for conversations about systemic equity that sometimes remain abstract. Rather than relying on anecdotal impressions of who holds which positions, longitudinal IPEDS analysis offers data-driven insights into structural patterns that individual hiring decisions alone cannot explain. This empirical approach aligns with the field's commitment to data-based decision-making, extending that commitment from clinical practice to organizational and systemic levels.

Clinical Implications

Although academic employment patterns may seem removed from clinical ABA practice, the implications are tangible and consequential. The faculty who occupy stable academic positions determine which research questions receive sustained investigation, which clinical populations are prioritized in outcome studies, and which assessment and intervention frameworks become the standard curricula taught to future practitioners.

When faculty from diverse racial and ethnic backgrounds are overrepresented in non-tenure positions, the research pipeline narrows in predictable ways. Studies on culturally adapted interventions, bilingual assessment tools, and community-based participatory research with underserved populations depend heavily on faculty who bring lived experience and cultural knowledge to their scholarship. Employment instability undermines the long-term research programs these investigations require.

For practitioners working with diverse client populations, this matters in concrete terms. A BCBA serving Spanish-speaking families benefits from assessment tools validated with that population, treatment protocols adapted for cultural context, and training materials developed by researchers who understand the linguistic and cultural nuances involved. When the faculty who would produce this research are concentrated in precarious positions, the clinical tools available to practitioners remain less diverse than the communities they serve.

The supervisory chain in behavior analysis also reflects these academic employment patterns. Faculty in tenure-line positions are more likely to supervise doctoral students who become the next generation of researchers, program developers, and clinical supervisors. If access to tenure-line positions is inequitably distributed by gender and race/ethnicity, the supervisory pipeline reproduces those inequities in each successive cohort of professionals entering the field.

Practitioners should also consider how employment insecurity affects the continuing education landscape. Faculty who lack institutional support for conference travel, publication costs, and workshop development produce fewer of the professional development opportunities that clinicians rely on. The diversity of perspectives available in CEU offerings, invited addresses, and published commentaries is shaped by who holds the stable academic positions that support these contributions.

Organizationally, ABA agencies and clinical programs can draw on this research when developing their own equity-focused hiring and retention practices. The same intersectional patterns visible in academia may manifest in clinical settings where compensation, advancement opportunities, and leadership roles are distributed unevenly across demographic groups. Understanding the empirical research on employment insecurity provides a framework for auditing organizational practices and identifying structural barriers that may not be apparent from surface-level diversity metrics.

Finally, behavior analysts who serve on university advisory boards, clinical training committees, or accreditation review teams can use these findings to advocate for employment structures that support faculty diversity. Tenure-line positions for faculty from underrepresented backgrounds are not simply a matter of institutional fairness; they are an investment in the research and training infrastructure that supports culturally responsive clinical practice.

Ethical Considerations

The BACB Ethics Code for Behavior Analysts (2022) establishes expectations that directly intersect with the employment equity issues raised by this research. Section 1.10 addresses awareness of personal biases and the need for behavior analysts to take steps to address them. In the academic context, hiring committees, tenure review boards, and departmental leadership all represent decision points where implicit biases related to gender and race/ethnicity can influence employment outcomes. Behavior analysts who participate in these processes bear responsibility for examining how their decisions contribute to or disrupt inequitable patterns.

The commitment to nondiscrimination expressed throughout the Ethics Code extends beyond individual client interactions to the systemic conditions that shape professional practice. When employment structures produce demographically skewed outcomes, professionals in positions of institutional power face an ethical imperative to investigate whether those outcomes reflect merit-based decisions or structural inequity. This is not a matter of charitable concern but of professional obligation rooted in the field's ethical standards.

Under Section 3.01, which addresses promoting an ethical culture, behavior analysts in leadership roles are expected to cultivate environments where ethical practice is supported and reinforced. In academic settings, this includes attending to whether non-tenure faculty, who may be disproportionately women and people of color, receive the institutional support needed to meet their professional responsibilities. When non-tenure faculty carry disproportionate teaching loads without adequate resources, the quality of student training may suffer, creating ethical concerns about the preparation of the next generation of practitioners.

Section 2.01 emphasizes the obligation to provide services within one's scope of competence and to seek training or consultation when working with unfamiliar populations. This obligation becomes harder to fulfill when the training resources themselves, the research, curricula, and continuing education reflecting diverse populations, are constrained by the employment insecurity of the faculty who would produce them. In this way, systemic employment inequity creates an indirect but measurable impact on the field's capacity to support competent practice across diverse communities.

Behavior analysts engaged in systems-level advocacy can draw on Section 2.16, which addresses the role of the behavior analyst in public statements and advocacy. Sharing empirically grounded findings about employment insecurity with university administrators, professional organizations, and accreditation bodies falls within the scope of responsible professional engagement. This advocacy becomes more credible and effective when grounded in the kind of longitudinal, data-driven analysis that IPEDS-based research provides.

The intersection of equity and ethics also raises questions about who defines ethical standards and whose experiences inform the ethical guidance the field follows. When the professional bodies that draft ethical codes, develop certification standards, and review complaints lack demographic representation, blind spots emerge. Employment insecurity for diverse faculty contributes to this underrepresentation by reducing the pool of experienced academics available for these governance roles.

Assessment & Decision-Making

Evaluating employment equity requires the same commitment to rigorous measurement that behavior analysts bring to clinical assessment. The intersectional approach used in this research illustrates how assessment methodology itself can obscure or reveal important patterns depending on the variables selected and how they are operationalized.

Traditional analyses of faculty demographics often examine gender and race/ethnicity as separate factors. This approach, while informative, treats each characteristic as independent and additive. If women are underrepresented in tenure-line positions and racial/ethnic minorities are also underrepresented, the assumption is that a woman of color experiences roughly the sum of both disadvantages. Intersectional analysis challenges this assumption by creating derived variables that capture combined identity categories, revealing that compounded effects may be greater than, less than, or qualitatively different from what additive models predict.

For behavior analysts, this methodological lesson has direct relevance to clinical assessment. When evaluating outcomes across demographic groups, whether in treatment effectiveness, service access, or client satisfaction, single-variable analyses may mask disparities that only become visible when multiple identity factors are examined simultaneously. A program that appears to serve male and female clients equally, and also appears to serve clients across racial categories equally, may nonetheless show significant disparities when these factors are combined.

The IPEDS data structure also demonstrates the importance of longitudinal measurement. Cross-sectional snapshots can be misleading because they capture a single moment that may not represent underlying trends. By tracking employment patterns across nearly a decade, this research identifies trajectories rather than static conditions, a principle that behavior analysts will recognize from single-subject research designs where trend lines matter more than individual data points.

Practical decision-making based on these findings involves several levels. At the individual level, behavior analysts considering academic careers can use this information to evaluate potential employers, asking about tenure-track ratios, faculty demographic data, and institutional equity initiatives during the recruitment process. At the organizational level, university departments and clinical training programs can audit their own employment structures using the same intersectional framework, disaggregating data beyond simple demographic percentages.

At the field level, professional organizations including the BACB and ABAI can incorporate these findings into workforce development strategies. Credentialing data already collected during certification and recertification processes could be analyzed intersectionally to identify whether employment patterns in clinical settings mirror those found in academia. Such analysis would require careful attention to data privacy and voluntary participation but could provide insights that aggregate statistics fail to capture.

When making decisions about resource allocation for diversity initiatives, both academic and clinical organizations benefit from understanding that uniform interventions may not address intersectional disparities. A mentoring program designed to support women in behavior analysis may not adequately serve women of color if the barriers they face differ from those experienced by white women. Assessment-driven approaches demand that interventions be tailored to the specific patterns revealed by careful measurement.

What This Means for Your Practice

Whether you work in a clinic, school, home-based program, or academic setting, the employment structures of the universities training behavior analysts affect the tools, knowledge, and professional culture available to you. Faculty employment insecurity is not an abstract policy issue; it shapes the research base you draw on, the diversity of perspectives in your continuing education, and the demographic composition of your professional community.

As a practicing BCBA, you can engage with these issues at multiple levels. Within your own organization, examine whether compensation, advancement, and leadership opportunities are distributed equitably across demographic groups. Apply the intersectional lens from this research rather than relying on single-category diversity metrics. Two organizations with identical gender ratios and identical racial/ethnic composition ratios can have very different intersectional profiles that reveal hidden inequities in who occupies which roles.

In your supervision practice, consider how you support supervisees from underrepresented backgrounds. Employment insecurity often begins before the academic career, during graduate training, when access to funded research assistantships, conference travel, and publication mentoring can vary along demographic lines. Supervisors who actively facilitate these opportunities for all trainees help counteract structural patterns that concentrate disadvantage.

When selecting continuing education, seek out presenters and content that reflect the full diversity of the field. Financial support for conference attendance, publication fees, and workshop development disproportionately accrues to faculty in stable positions. By intentionally diversifying your CEU sources, you contribute to demand that incentivizes organizations to invest in diverse speakers and content developers.

The data from this research underscores a central point: equity in behavior analysis is not achieved through aspirational statements alone. It requires the same data-driven, systematic analysis that defines excellence in clinical practice. Apply the measurement rigor you bring to your treatment programs to the organizational and systemic conditions that determine who enters, remains in, and advances within the profession.