Background. Situational judgement tests (SJTs) measure non-cognitive attributes and have recently drawn attention as a selection method for initial teacher education programmes. To date, very little is known about adverse impact in teacher selection SJT performance.Aims. This study aimed to shed light on adverse effects of gender, ethnicity, and socioeconomic status (SES) on SJT scores, by exploring both main effects and interactions, and considering both overall SJT performance and separate SJT domain scores (mindset, emotion regulation, and conscientiousness).Sample. A total of 2,808 prospective teachers from the United Kingdom completed the SJTs as part of the initial stage of selection into a teacher education programme.Methods. In addition to SJT scores, the variables gender (female vs. male), ethnicity (majority group vs. minority group), and home SES background (higher SES status vs. lower SES status) were used in the analyses. Regression models and moderated regression models were employed.Results and conclusions. Results from the regression models revealed that gender effects (females scoring higher than males) were restricted to emotion regulation, while ethnicity effects (ethnic majority group members scoring higher than ethnic minority group members) emerged for SJT overall scores and all three domains. Moderated regression modelling results furthermore showed significant interactions (gender and ethnicity) for SJT overall scores and two domains. Considering the importance of reducing subgroup differences in selection test scores to ensure equal access to teacher education, this study's findings are a critical contribution. The partially differentiated results for overall vs. domain-specific scores point towards the promise of applying a domain-level perspective in research on teacher selection SJTs.Diversifying the teacher workforce has long been a concern of educational policy (e.g., Kirby, Berands, & Naftel, 1999). However, limited progress has been made to reach this goal (e.g., Albert Shanker Institute, 2015; OECD, 2016), as indicated by the relative scarcity ofThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.