Development and validation of a cognitive model-based novel questionnaire for measuring potential unsafe behaviors of construction workers
Shuwen Deng, Honglei Zhu, Rui Peng, Yonggang Pan
Abstract
The accident death rate in the construction industry is one of the highest among all occupational accidents. In order to identify the most common and direct causes of accidents, the unsafe behaviors of construction workers must be investigated, which necessities a questionnaire. Considering that safety climate research and behavior safety research barely explained the causes of unsafe behavior, this research was conducted from a cognitive model-based perspective. A new questionnaire was designed to evaluate the potentially unsafe behaviors, and a cognitive model with 11 factors was adopted. After verification by exploratory factor analysis, confirmatory factor analysis and reliability analysis, the new questionnaire showed good validity (content validity index < 0.79 and content validity ratio aaaa 0.42, average variance extracted > 0.5) and reliability (Cronbach’s α > 0.7, composite reliability > 0.7), and the cognitive model fitted well. Therefore, the new questionnaire is effective and reliable in assessing the causes of unsafe behaviors of construction workers.