Parametric and Nonparametric Analysis of the Internal Structure of the Psychosocial Work Processes Questionnaire (PROPSIT) as Applied to Workers

Merino-Soto C.; Juárez-García A.; Escudero G.S.; Toledano-Toledano F. · International Journal of Environmental Research and Public Health (2022) · DOI: 10.3390/ijerph19137970

Resumen

The study of the dimensionality or internal structure of a measure has a definitional purpose with notable theoretical and practical implications; this aspect can be analyzed via both parametric and nonparametric approaches. The latter are probably used less often to validate constructs in the context of psychosocial work factors. The aim of the present manuscript was to employ both nonparametric (DETECT and AISP-Mokken) and parametric (semiconfirmatory factor analysis) procedures to analyze the internal structure of the Psychosocial Work Processes Questionnaire (PROPSIT) in the context of two samples of Peruvian workers located in the city of Lima, Perú, with one sample drawn from various work centers (n = 201) and the other comprising elementary education teachers (n = 158). The nonparametric results indicated that the content of the PROPSIT is sufficiently multidimensional to be able to describe a variety of psychosocial factors, while the parametric results require modification of the measurement model to obtain greater factorial congruence. In general, the analyses show a similar structure to those discussed by previous preliminary studies that have reported similar item-level performances. Some findings and considerations for future research are discussed.

Instituciones: Universidad de San Martín de Porres