Adaptation of the multidimensional driving styles inventory for Spanish drivers: Convergent and predictive validity evidence for detecting safe and unsafe driving styles
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Driving stylesSafe driversReckless drivingStress reductionMDSI
Padilla, J. L., Castro, C., Doncel, P., & Taubman-Ben-Ari, O. (2020). Adaptation of the multidimensional driving styles inventory for Spanish drivers: convergent and predictive validity evidence for detecting safe and unsafe driving styles. Accident Analysis & Prevention, 136, 105413.
SponsorshipThe Spanish Government: DGT, Dirección General de Tráfico, Ministerio del Interior (SPI2015-01782) and MICINN, Ministerio de Ciencia, Innovación y Universidades (PSI2016-75086) gave us financial support.
The Multidimensional Driving Style Inventory (MDSI; Taubman – Ben-Ari et al., 2004) is a well-known and useful instrument that allows us to identify not only “maladaptive” Driving Styles (DS) in order to modify them, but also “adaptive” DS to encourage safe driving. The aim of this study was to adapt the MDSI to the Spanish spoken in Spain and to the rules and driving habits of Spaniards. The Argentinian version of the MDSI was taken as the source version. The sample consisted of 1173 drivers, who completed the Spanish version of the MDSI. The factor structure was analysed by means of an Exploratory Factor Analysis (AFE) and a Confirmatory Factor Analysis (AFC). The 6-factor structure of the Argentinian version of the MDSI was replicated with higher internal consistency values for each of the DS. The original Argentinian and the Spanish versions share 23 items, indicating a relevant overlap in the construct. A cluster analysis grouped the DS into two groups: maladaptive and adaptive. Significant associations were found between DS measures and demographic variables (gender, age, and education level), driving history and theoretically related constructs like the Domain-Specific Risk-Taking Scale (DOSPERT); Lapses, Errors, Violations; Angry Driving; and Sensitivity to Rewards. The Spanish MDSI provides valid measures that could help us understand complex driving behaviours and promote safe driving.