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Volume 11, Issue 3 (Iranian Journal of Ergonomics 2023)
Iran J Ergon 2023, 11(3): 190-198 |
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Research code: 14020129507
Ethics code: IR.UMSHA.REC.1401.1087
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Darestani M, Tapak L, Mirzaie AliAbadi M, Mahdavi N. Psychometrics of an Occupational Cognitive Failures Questionnaire for Heavy Machinery Operators in Road and Urban Construction: A Study of Validity and Reliability. Iran J Ergon 2023; 11 (3) :190-198
URL: http://journal.iehfs.ir/article-1-976-en.html
URL: http://journal.iehfs.ir/article-1-976-en.html
1- Department of HSE, Occupational Health and Safety Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
2- Department of Biostatistics, Modeling of Non-communicable Diseases Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
3- Department of HSE, Occupational Health and Safety Research Center, Center of Excellence for Occupational Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
4- Department of Ergonomics, Center of Excellence for Occupational Health, Occupational Health and Safety Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran , nmahdavi1@yahoo.com
2- Department of Biostatistics, Modeling of Non-communicable Diseases Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
3- Department of HSE, Occupational Health and Safety Research Center, Center of Excellence for Occupational Health, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
4- Department of Ergonomics, Center of Excellence for Occupational Health, Occupational Health and Safety Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran , nmahdavi1@yahoo.com
Abstract: (656 Views)
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.
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.
Type of Study: Research |
Subject:
Other Cases
Received: 2023/10/19 | Accepted: 2023/12/21 | ePublished: 2023/12/21
Received: 2023/10/19 | Accepted: 2023/12/21 | ePublished: 2023/12/21
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