Year: 2026
Type: article
Abstract: Introduction Burnout research has emphasized generic job stressors while giving limited attention to how intersectional identities and environmental context jointly shape burnout risk. This study develops and validates the Intersectionality Burnout Inventory (IBI): A positively worded instrument assessing burnout risk across factors of environment and purpose, intersectionality and identity, and emotional capacity. Methods An IRB-approved, four-phase design combined qualitative and quantitative methods: Expert content validation (Phase I), focus groups emphasizing intersectionality and environment (Phase II), dimensionality testing via parallel analysis and EFA (Phase III; N = 340 MTurk employees), and CFA with construct validation (Phase IV; N = 227 employees at a U.S. health and wellbeing organization). Results EFA supported a three factor, 40 item structure explaining 52.26% of variance. CFA indicated acceptable fit (RMSEA = 0.06; SRMR = 0.07; CFI = 0.90; TLI = 0.87). After removing underperforming items, the final 31 item IBI showed strong internal consistency (α = 0.89 overall; subscales α = 0.83–0.90). Convergent and predictive validity were supported: Negative correlations with the Maslach Burnout Inventory ( r = −0.64) and the Burnout Assessment Tool ( r = −0.60), positive correlation with psychological wellbeing ( r = 0.43), and negative correlation with turnover intentions ( r = −0.47), all p < 0.001. Participants also reported that fully positive wording enhanced clarity and psychological safety. Discussion By integrating intersectionality and environmental context with established burnout dimensions consistent with Job Demands–Resources, Conservation of Resources, and stress-appraisal perspectives the IBI offers a psychometrically sound, practically useful diagnostic for multilevel burnout risk and targeted intervention.
Institution: William James College
Language: English
Topic: Stress and Burnout Research
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,353
OpenAlex ID: W7124978690
