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Multidimensional Rasch Analysis of the Arabic Occupational Fatigue Exhaustion Recovery Subscales
Michael Edward Clinton1, Lina Sabbagh Younan1, Souha Fares1
1American University of Beirut, Beirut, Lebanon.
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.
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