Instituto de Investigación de Psicología, Universidad de San Martín de Porres, Lima 15102, Peru.
Centro de Investigación Transdisciplinar en Psicología, Universidad Autónoma del Estado de Morelos, Pico de Orizaba 1, Los Volcanes, Cuernavaca 62350, Mexico.
Int J Environ Res Public Health. 2022 Jun 29;19(13):7970. doi: 10.3390/ijerph19137970.
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.
研究测量的维度或内部结构具有定义性的目的，具有显著的理论和实际意义；可以通过参数和非参数方法来分析这一方面。后者可能较少用于在心理社会工作因素的背景下验证结构。本手稿的目的是使用非参数（DETECT 和 AISP-Mokken）和参数（半确认性因素分析）程序来分析秘鲁利马市两个秘鲁工人样本中心理社会工作过程问卷（PROPSIT）的内部结构，一个样本来自各种工作中心（n = 201），另一个样本由小学教师组成（n = 158）。非参数结果表明，PROPSIT 的内容具有足够的多维性，可以描述各种心理社会因素，而参数结果则需要修改测量模型以获得更大的因子一致性。总的来说，分析结果与之前的初步研究中讨论的结果具有相似的结构，这些研究报告了类似的项目层面表现。讨论了一些发现和对未来研究的考虑。
