克朗巴赫阿尔法
探索性因素分析
可靠性(半导体)
心理学
应用心理学
考试(生物学)
毒物控制
样品(材料)
伤害预防
工程类
心理测量学
临床心理学
医学
环境卫生
古生物学
功率(物理)
化学
物理
色谱法
量子力学
生物
作者
Andy S. K. Cheng,T. C. Ng
标识
DOI:10.1016/j.aap.2010.01.018
摘要
The primary purpose of this study was to develop a self-report questionnaire to assess the driving violations of Chinese motorcycle riders and evaluate its screening accuracy between accident-involved and accident-free motorcycle riders. A Chinese Motorcycle Rider Driving Violation (CMRDV) scale, consisting of 19 items, was developed and administered to a sample of motorcycle riders (n=920). Exploratory factor analysis revealed a two-factor solution, which supported the theoretical premise that there are two types of driving violations, aggressive violations and ordinary violations, and that they also apply to motorcycle riders. Cronbach's alpha for these two sub-scales was between 0.876 and 0.914. The test-retest reliability was satisfactory with intra-class correlations of individual item scores ranging from 0.729 to 0.891. Respondents with a past history of active accidents scored significantly high than those without (p<0.0001). Overall, the area under the ROC curve was 0.715 (p<0.0001, 95% CI 0.670-0.760) at a cutoff score of 30.5 with sensitivity of 0.706 and specificity of 0.610. The results indicated that the CMRDV questionnaire was valid and reliable for measuring the driving violations of Chinese motorcycle riders.
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