Title
Factor structure and measurement invariance of the multidimensional driving style inventory across gender and age: An ESEM approach
Date Issued
01 May 2020
Access level
metadata only access
Resource Type
journal article
Author(s)
Publisher(s)
Elsevier Ltd
Abstract
The Multidimensional Driving Style Inventory (MDSI) is the most comprehensive measure of typical driving behavior to date and has been frequently used to compare driving styles across different groups of drivers, particularly between gender- and age-related groups. However, the factor structure of MDSI has not been clearly established and its measurement invariance has not been demonstrated. The goal of the present study was to examine the internal structure and measurement invariance of the MDSI across gender and age. A sample of 1277 drivers from Argentina responded to the Argentinian version of the MDSI. Exploratory structural equation modeling (ESEM) was used to test the factor structure and measurement invariance across females (n = 602) and males (n = 675), and across young (18–29, n = 558), adult (30–49, n = 395) and older (50 and older, n = 317) drivers. The results showed that a 36-item six-factor ESEM model represented by risky, angry, dissociative, anxious, distress-reduction and careful and patient driving styles was the best model based on fit indices and interpretability. Configural, weak and strong invariance of the six-factor ESEM model across gender and age was also supported. The MDSI in its Argentinian version is equivalent across gender and age, supporting the validity of previous research findings examining gender and age differences in driving styles. Future studies should examine the measurement invariance of the MDSI across other relevant driving-related variables.
Start page
23
End page
30
Volume
71
Language
English
OCDE Knowledge area
Psicología (incluye relaciones hombre-máquina)
Subjects
Scopus EID
2-s2.0-85083039766
Source
Transportation Research Part F: Traffic Psychology and Behaviour
ISSN of the container
13698478
Sources of information:
Directorio de Producción Científica
Scopus