Validating an older adult driving behaviour model with structural equation modelling and confirmatory factor analysis

Abstract

The Multilevel Older Persons Transportation and Road Safety (MOTRS) model postulates a role for demographic, functional, and psychosocial factors in driving self-regulation. This study formally tested the constructs of the MOTRS model, and its ability to account for variation in older adult’s driving self-regulation. Four exogenous constructs dealing with sociodemographic and driving-related variables (driving space, dependency on other drivers, health, and driving performance) and three endogenous constructs of psychosocial appraisals (driving confidence, attitudes and beliefs towards driving) were used to predict driving self-regulation. A sample of 277 Australian drivers, aged 65years or over, completed standardised questionnaires to assess these variables. Structural equation modelling was used to evaluate one of the model’s assumptions. Findings established that sociodemographic and driving-related factors influence older adults’ driving self-regulation by impacting psychosocial variables. A re-specified model accounted for 75% of the variance in self-reported driving self-regulation. When other variables were considered, attitude towards driving was the strongest single predictor of driving self-regulation. These findings provide an initial partial validation of the MOTRS model. The results indicate that psychosocial variables are important determinants of driving self-regulation by older adults. This model could guide future research into older adults’ driving self-regulation.