Factor structure and measurement invariance of the psychosocial risk factors inventory of NOM-035-STPS-2018

Julio César Cano-Gutierrez; Juan Carlos Pérez-Morán; Brando Bernal-Baldenebro; Daniela Arenas-Meneses; Ramsés Vazquez-Lira; Jesús Everardo Olguín-Tiznado

doi:10.3389/fpsyg.2022.1022707

Factor structure and measurement invariance of the psychosocial risk factors inventory of NOM-035-STPS-2018

Front Psychol. 2023 Jan 4:13:1022707. doi: 10.3389/fpsyg.2022.1022707. eCollection 2022.

Authors

Julio César Cano-Gutierrez¹, Juan Carlos Pérez-Morán², Brando Bernal-Baldenebro³, Daniela Arenas-Meneses², Ramsés Vazquez-Lira⁴, Jesús Everardo Olguín-Tiznado¹

Affiliations

¹ Faculty of Engineering, Architecture and Design, Autonomous University of Baja California, Ensenada, Mexico.
² Promoter Network of Diagnostic Evaluation Methods and Educational Innovation, Mexico City, Mexico.
³ Institute for Educational Research and Development, Autonomous University of Baja California, Ensenada, Mexico.
⁴ Faculty of Psychology, National Autonomous University of Mexico, Mexico City, Mexico.

Abstract

The primary objective of this study was to analyze the psychometric properties of the Inventory for the Identification and Analysis of Psychosocial Risk Factors (IIA-PRF) of Reference Guide III proposed in NOM-035-STPS-2018. A total of 2,149 workers in Baja California, Mexico's industrial and education-government sectors, were administered an online inventory version. Preliminary analyses were performed, as well as a Confirmatory Factor Analysis (CFA) based on two models proposed by the standard itself: an eight-factor model (8-FM) and a four-factor model (4-FM). Likewise, based on the results and with the recommendations of the specialists, a threefactor model (3-FM) was proposed. In addition, nested model sequencing methods were subsequently applied to validate the invariance between the origin of the activity. The dimensionality of 3-FM was found to have adequate fit values according to a-priori established criteria. It is concluded that the IIAPRF does not have the reliability and validity parameters necessary to support interpretations, uses and consequences based on the theoretical structure established by NOM-035-STPS-2018 and that, although the 3-FM presents better reliability and validity indices, it is not invariant in terms of the origin of the activity. Finally, we discuss the implications and recommend reviewing and adjusting the design of the IIAPRF items to extend the measurement of invariance to other groups of relevance for decision making in the improvement of the work environment.

Keywords: confirmatory factor analysis; factor structure; industrial sector; invariance; psychosocial risk factor; sectors of activity; validity.