Related Experiment Video
Updated: Feb 1, 2026

Establishment of Rat Models Mimicking Gender-affirming Hormone Therapies
Published on: January 10, 2025
Evaluating the Validity of the GM@W Survey: A Psychometric Study Across Gender and Industry
Javier Mencia-Ledo1, Sana Siddiqui1, Hong Ki Chloe Lau1
1Department of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, 160-500 University Ave, Toronto, ON, M5G 1V7, Canada.
Purpose:
The National Workplace Psychological Health and Safety Standard (The Standard) recommends the use of a survey developed by Guarding Minds at Work (GM@W). However, its validity remains underexplored. This study has two objectives: (1) to evaluate the psychometric properties of the survey in assessing the Standard dimensions and (2) to examine validity across gender and industry.
Methods:
A Confirmatory Factor Analysis (CFA) was conducted on data from the GM@W survey to evaluate the factor structure and validity of the 13 dimensions. Group comparisons by gender and occupational groups were assessed using t-tests and ANOVA tests.
Results:
Across the 13 dimensions, most items demonstrated strong internal consistency and discriminant validity, with physical safety (r = 0.71) and organizational culture (r = 0.68) showing the highest internal consistency. While psychological competencies and physical safety were linked to positive mental health outcomes, challenges with workload management and balance remain prominent, especially for workers in healthcare and education. Group differences were observed, with women and workers in business, trades, and manufacturing reporting better psychosocial outcomes.
Discussion:
While the GM@W tool demonstrated internal consistency and improved convergent validity compared to previous versions, significant model misfit was observed across all sectors. High latent correlations and frequent violations of the Fornell-Larcker criterion reveal substantial construct overlap and empirical redundancy. The findings suggest that while individual constructs are reliable, the 13-factor structure faces challenges in achieving empirical distinctiveness. Capturing the diverse psychosocial experiences of a national workforce within a single psychometric instrument remains a complex task.
More Related Videos
06:02Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
Published on: October 6, 2020
07:43Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop
Published on: July 2, 2018
Related Concept Videos
Surveys
Introduction to Surveying, Plane Surveying and Geodetic Surveys
Socioemotional Experience and Gender Development
Reliability and Validity
Errors and Mistakes in Surveying
Types of Surveys