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Dataset Information

Predictors of employee well-being: A global measurements using reflective-formative model.


ABSTRACT:

Background

Employee well-being (EW) is an integral part of occupational safety & health. Therefore, measuring EW is very important for holistically evaluating well-being instruments and measurement models. This research aimed to identify and confirm dimensions that significantly contribute to EW and also to examine the reliability and validity of the formative model of EW.

Methods

The survey consisted of 89 items from a well-being questionnaire administered to 426 employees in the coal mining industry, covering five domains. Measurements were analyzed using partial least squares-structural equation modelling (PLS-SEM) with SmartPLS 4.1.1. The measurement and analysis were conducted in two stages, the first of which used a reflective model. Subsequently, the results of the fi

SUBMITTER: Tambunan W 

PROVIDER: S-EPMC11693885 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature