TY - GEN
T1 - Psychometric examination and validation of the aggressive driving scale (ADS)
AU - Zhang, Yiqi
AU - Houston, Rebecca
AU - Wu, Changxu
N1 - Publisher Copyright:
Copyright 2014 Human Factors and Ergonomics Society.
PY - 2014
Y1 - 2014
N2 - Aggressive driving behavior is an important cause of traffic accidents and injuries. The Aggressive Driving Scale (ADS) analyzed in the present study consists of 24 items. A sample of 276 participants was analyzed to obtain the factor structure and reliability of the ADS and 67 of them participated in the behavioral experiment to validate the scale. Results indicated a three-factor structure (Interference with other drivers, Violations/Risk taking, and Anger/Aggression expression) with high item loadings. Reliability analysis reported excellent internal consistency and test-retest reliability. Construct validity was established as the ADS subscale scores correlated significantly with trait measures of anger and aggression. Predictive validity of the ADS was verified through multiple regression analyses as the ADS is a significant predictor of behavioral measures in the simulated environment and self-report measures of real world violations. These results suggest that the ADS is a reliable and valid tool in evaluating aggressive driving behaviors.
AB - Aggressive driving behavior is an important cause of traffic accidents and injuries. The Aggressive Driving Scale (ADS) analyzed in the present study consists of 24 items. A sample of 276 participants was analyzed to obtain the factor structure and reliability of the ADS and 67 of them participated in the behavioral experiment to validate the scale. Results indicated a three-factor structure (Interference with other drivers, Violations/Risk taking, and Anger/Aggression expression) with high item loadings. Reliability analysis reported excellent internal consistency and test-retest reliability. Construct validity was established as the ADS subscale scores correlated significantly with trait measures of anger and aggression. Predictive validity of the ADS was verified through multiple regression analyses as the ADS is a significant predictor of behavioral measures in the simulated environment and self-report measures of real world violations. These results suggest that the ADS is a reliable and valid tool in evaluating aggressive driving behaviors.
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U2 - 10.1177/1541931214581448
DO - 10.1177/1541931214581448
M3 - Conference contribution
AN - SCOPUS:84957637623
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 2131
EP - 2135
BT - 2014 International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014
PB - Human Factors an Ergonomics Society Inc.
T2 - 58th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2014
Y2 - 27 October 2014 through 31 October 2014
ER -
