Psychometrics of an Occupational Cognitive Failures Questionnaire for Heavy Machinery Operators in Road and Urban Construction: A Study of Validity and Reliability

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Objectives

Today we are witnessing tremendous growth in construction and the use of heavy machinery. As a significant portion of human errors is attributed to cognitive failures, there is a need for robust tools to assess these cognitive failures. Therefore, the primary goal of this study was to investigate the psychometrics of the current Occupational Cognitive Failures Questionnaire for Heavy Machinery Operators in Road and Urban Construction.

Methods

A total of 84 drivers of road and urban construction machinery were selected by simple random sampling method. Initially, job-related items for these people were selected for inclusion in the questionnaire, irrelevant items were removed, and proposed items were added. To assess structural validity, the tool was administered to 10 experts. Then, content validity ratios (CVR) and content validity indices (CVI) were determined for each of the items and evaluated using confirmatory factor analysis conducted in AMOS software (version 23). Cronbach's alpha coefficient was used to measure reliability. Data were analyzed in SPSS software (version 20).

Results

The final questionnaire comprised 16 items, with CVR and CVI leading to their inclusion in the final structure. The CVR of the questionnaire was 0.90. Additionally, the indices of the fitted model included CMIN/DF, TLI, CFI, IFI, GFI, AGFI, and RMSE, which were obtained at 1.16, 0.851, 0.88, 0.898, 0.86, 0.802, and 0.044, respectively. The Cronbach's alpha coefficient was calculated at 0.633.

Conclusion

The psychometrics of the Cognitive Failures Questionnaire demonstrated suitable validity and reliability for heavy machinery operators in road and urban construction. It can be effectively used for ergonomic evaluations.

Language:
Persian
Published:
Journal of Ergonomics, Volume:11 Issue: 3, 2024
Pages:
190 to 198
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