2022
DOI: 10.3390/ijerph19137972
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Item-Level Psychometric Analysis of the Psychosocial Processes at Work Scale (PROPSIT) in Workers

Abstract: The structural attributes and correlates of items have an effect on their composite scores and exploring them strengthens the content validity of a measure adapted to another context. The objective of this study was to evaluate the item properties of a measure of psychosocial work factors (PWFs). Data were collected through a web platform from 188 Peruvian working adults (men = 101, 50.5%) holding various professions and jobs. The instrument was the Psychosocial Processes at Work Scale (PROPSIT), adapted for t… Show more

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Cited by 5 publications
(3 citation statements)
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“…Removing these items from the instrument notably enhanced its reliability and item-total correlation. Conversely, the remaining LAS items were deemed sufficiently clear and effective in measuring the intended construct 44 , 71 , 90 , 91 .…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Removing these items from the instrument notably enhanced its reliability and item-total correlation. Conversely, the remaining LAS items were deemed sufficiently clear and effective in measuring the intended construct 44 , 71 , 90 , 91 .…”
Section: Discussionmentioning
confidence: 99%
“…To thoroughly examine the evidence, we performed a quantitative item analysis to assess the content’s validity 44 and determine its substantive validity. In the present study, the substantive validity assessed concerns the measurement structure of the LAS, not the underlying processes linked to the construct 45 .…”
Section: Introductionmentioning
confidence: 99%
“…To provide statistical characteristics of the items and test the content validity of the scale ( Merino-Soto et al, 2022 ), we performed item analyses using descriptive statistics such as response frequency, and response similarity. Moreover, to assess the latent factor structure of the UWSS measure, we utilized Exploratory factor analysis (EFA) and calculated the factor loadings of scale items ( Tabachnick and Fidell, 2007 ).…”
Section: Methodsmentioning
confidence: 99%