Implicit bias — the unconscious attitudes and stereotypes that influence perception, judgment, and behavior — has been increasingly recognized as a factor that can undermine the quality and equity of behavior analytic services. Despite growing recognition that these biases exist and affect clinical practice, the evidence base for how to effectively train practitioners to identify and mitigate their implicit biases remains limited.
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Join Free →Diversity, equity, inclusion, and belonging (DEIB) in behavior analytic practice is both an ethical imperative and a critical area for ongoing research (BACB, 2020), particularly amidst today's social and political landscape. Despite increasing recognition that implicit bias can undermine culturally responsive service delivery, and leads to disparities in access and quality care to diverse populations (Beaulieu & Jimenez-Gomez, 2022), empirical guidance on how best to train staff to identify and disrupt practitioner biases remains limited. To address this gap, we conducted a systematic literature review of experimental studies published from 1998 to the present that targeted implicit or unconscious bias reduction for employed professionals. Our search, following PRISMA guidelines, identified 844 articles, of which 28 met our inclusion criteria (e.g., contained an experimental design, assessed staff-level training, and explicitly focused on implicit bias). Preliminary analyses indicate that implicit bias training varies widely in the methods employed (e.g., didactic instruction, empathy-building, mindfulness, self-reflection, and corrective action protocols). Of note, indirect measures such as self-report surveys and the Implicit Association Test (IAT) dominated assessment methods, with comparatively fewer studies employing direct observation nor pinpointed behavioral measures. Although the majority of included studies reported positive outcomes, close inspection revealed significant methodological limitations, such as short follow-up periods, heavy reliance on self-report, and inconsistent conceptualizations for bias-related constructs. These findings, coupled with the fact that racial and ethnic minorities will comprise the majority of the U.S. population by the 2050s (Frey, 2018) underscore the urgent need for more robust, behaviorally grounded approaches to bias reduction—particularly ones that measure observable staff behavior and integrate systematic strategies for skill maintenance and generalization. Drawing from a radical behavior analytic framework, we discuss the implications of results for advancing evidence based staff training models that are both conceptually systematic and technologically precise. We conclude by highlighting future directions for research that leverages single-case designs, direct measurement, and interdisciplinary collaboration to promote equitable outcomes in behavior analytic practice. Most critically, we highlight targeted ways to amplify the voices of historically marginalized communities to ensure that those most affected by biases are centered in efforts to dismantle it. KEY WORDS: Diversity, Equity, Inclusion, and Belonging, Implicit Bias, Anti-racism, Cultural-Responsiveness, Training
| Certification Body | Credits | Type |
|---|---|---|
| BACB® | 1 | Ethics |
| COA | 0 | — |
Nic Truong-Marchetto’s clinical endeavors have traversed diverse settings including specialized ABA schools, hospital inpatient units, private clinics, in-home services, and public schools. Currently serving as the District Director of Behavior in a public charter school in Cambridge, MA, Nic has also made contributions to the international dissemination of ABA, having practiced in Southeast Asia for seven years. As a neurodivergent member of the LGBTQIA+ community, Nic's approach to behavior analysis is deeply rooted in principles of equity and inclusiveness. She is committed to being a culturally-responsive, actively anti-racist, trauma-assumed, neurodivergent-affirming, and compassionate researcher and practitioner. Her work strives to integrate community voices into the fabric of her practice, particularly those from historically marginalized groups. This commitment extends into her research, where she leverages Community-Based Participatory Research frameworks to strive for interventions that are not only scientifically robust but also culturally resonant. As a doctoral student at the Institute of Applied Behavioral Science (IABS), Endicott College, Nic's research is focused on human operant arrangements to explore racial bias and applied methodologies around the assessment, development, and training of cultural responsiveness and actively anti-racist behavior analytic care. Her scholarly activities are complemented by her role as District co-Facilitator of Diversity, Equity, Inclusion, and Belonging (DEIB) at Prospect Hill Academy Charter School and dedicated service to the DEIB Task Force for the IABS at Endicott. She has presented at national and international conferences and her academic and clinical excellence have been recognized with recent nominations such as the Distinguished Scholar by the Cambridge Center for Behavioral Studies and the Patrick Judge Clinical and Dissemination Award.
Dig into the research behind this topic — plain-English summaries written for BCBAs.
280 research articles with practitioner takeaways
279 research articles with practitioner takeaways
258 research articles with practitioner takeaways
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All behavior-analytic intervention is individualized. The information on this page is for educational purposes and does not constitute clinical advice. Treatment decisions should be informed by the best available published research, individualized assessment, and obtained with the informed consent of the client or their legal guardian. Behavior analysts are responsible for practicing within the boundaries of their competence and adhering to the BACB Ethics Code for Behavior Analysts.