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Archivos de Prevención de Riesgos Laborales
versión On-line ISSN 1578-2549
Resumen
GIL-MONTE, Pedro R.. The UNIPSICO questionnaire: psychometric properties of the scales measuring psychosocial resource factors. Arch Prev Riesgos Labor [online]. 2016, vol.19, n.2, pp.95-102. ISSN 1578-2549. https://dx.doi.org/10.12961/aprl.2016.19.02.3.
Purpose: To analyze the psychometric properties of the UNIPSICO questionnaire' scales designed to evaluate psychosocial resource factors at work. Methods: The sample consisted of 2564 participants; 1391 were employees working with people with intellectual disability and 1173 were high school teachers from the Valencian Community. Data were collected through use of the UNIPSICO questionnaire, which includes scales designed to measure psychosocial resource factors in the workplace. This instrument consists of 26 items distributed in 4 scales: resources at work, work social support, feedback, and autonomy. Data were analysed to test item validity, construct validity by confirmatory factor analysis (CFA), reliability by Cronbach's alpha, and predictive validity by stepwise regression analysis. Results: For all items skewness and reliability values were adequate. The four scales followed the normal distribution, with skewness values ranging between +1 and -1. The results of the CFA confirmed the hypothesised four-factor structure. The hypothesised model showed a good data fit (GFI =0,922, NNFI = 0,898, CFI = 0,912, RMSEA = 0,059). Scale score reliability coefficients for the five scales showed values above 0.80. Stepwise regression analysis demonstrated all variables were significant predictors of psychosomatic disorders. Conclusions: The validity and reliability of the four scales were satisfactory. In addition, the scales offer predictive validity for the study of work-related psychosomatic disorders. The UNIPSICO scales analyzed are anadequate tool to evaluate psychosocial resource factors at work.
Palabras clave : Work conditions; Psychosocial factors; UNIPSICO questionnaire; Psychometric properties; Factorial validity.