Related Experiment Video
Updated: May 1, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
The HSE Management Standards Indicator Tool: concurrent and construct validity
F Marcatto1, L Colautti2, F Larese Filon3
1Department of Life Sciences, University of Trieste, I-34127 Trieste, Italy, fmarcatto@units.it.
Background:
The Health & Safety Executive Management Standards Indicator Tool (HSE-MS IT) is a questionnaire commonly used to assess work-related stress risks at an organizational level. A critical factor in determining whether this instrument is actually useful is that higher levels of stress risk in the work-design domains should predict higher levels of stress and stress-related outcomes in workers. Only a few studies, however, have addressed this issue.
Aims:
To test both the concurrent and construct validity of the HSE-MS IT, by relating it with another widely used instrument, the Job Content Questionnaire (JCQ), and by examining its relationships with a set of work-related stress outcomes.
Methods:
An anonymous cross-sectional questionnaire was administered to a sample of employees in an Italian municipality. The questionnaire included the HSE-MS IT, self-reported measures of job satisfaction, job motivation and stress at work, the Satisfaction with Life Scale and the reduced form of the JCQ.
Results:
A total of 760 out of 779 employees completed the questionnaire. Results showed moderate to strong correlation among the corresponding HSE-MS IT and JCQ scales. Hierarchical regression highlighted the specific contribution of each of the HSE-MS IT scales in predicting three relevant work-related stress outcomes (self-reported stress, job satisfaction and job motivation), after controlling for gender, age and life satisfaction.
Conclusions:
Our findings consolidated the HSE-MS IT validity and showed the specific sensitivity of its scales to assess different aspects of work-related distress, including self-perception of stress at work. These results can have practical implications for the occupational well-being of employees.
Related Concept Videos
Reliability and Validity
Measures of Intelligence
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Self-Evaluation Maintenance Model
Significance Testing: Overview
Indicators
