Multidimensional Rasch Analysis of the Arabic Occupational Fatigue Exhaustion Recovery Subscales

Abstract

Background and Purpose: Investigation of the psychometric properties of the Arabic version of the Occupational Fatigue Exhaustion Recovery (A-OFER) subscales. Methods: Partial credit model (PCM) analyses of 2037 Lebanese nurses' responses to the chronic fatigue (CF), acute fatigue (AF), and intershift recovery (IR) subscales. Results: The data were a better fit to the three-dimensional Rasch PCM; difference, χ2 = 2199.3, df = 5, p =.01; unidimensional Akaike information criterion (AIC) = 107355; multidimensional AIC = 105166. Rating categories were disordered and there was item dependence among negatively-keyed items. All items were free of subgroup bias. Inter-subscale correlations were contrary to expectations. Conclusion: The CF subscale has sufficient reliability for screening nurses in Lebanon and the Eastern Mediterranean region for low to moderate levels of occupational fatigue. The construct validity of the A-OFER requires further investigation. © Copyright 2019 Springer Publishing Company, LLC.