Introduction and aim: 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 is to adapt the existing questionnaire on occupational cognitive failures to heavy machinery operators in road and urban construction.
Method: 84 drivers of road and urban construction machinery were selected by simple random sampling. Initially, job-related items for these people were selected for inclusion in the questionnaire on occupational cognitive failures, 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 questions and evaluated using confirmatory factor analysis conducted in AMOS version 23. Cronbach's alpha coefficient was used to measure reliability, and the statistical software used was SPSS version 20.
Results: The final questionnaire comprised 16 items, with CVR and CVI leading to their inclusion in the final structure. The content validity ratio of the questionnaire was 0.90. Additionally, the indices of the fitted model included CMIN/DF, TLI, CFI, IFI, GFI, AGFI, and RMSE, which were1.16, 0.851, 0.88, 0.898, 0.86, 0.802 and 0.044, respectively. The Cronbach's alpha coefficient was calculated to be 0.633.
Conclusion: The adapted questionnaire on cognitive failures demonstrated suitable validity and reliability for heavy machinery operators in road and urban construction. It can be effectively used for ergonomic evaluations.