Abstract

Achievement goals have been a major topic of research for more than 30 years. Achievement goals represent what and why individuals want to achieve. This literature has provided a large body of research in many domains (e.g., education, sports, work), but no study has hitherto been conducted in the driving domain. Moreover, no scale was available to assess achievement goals in driving even though driving is an achievement context. Indeed, drivers’ personal competence is engaged and continuously evaluated both by others and the drivers themselves. The present study seeks to fill these gaps. The aims of the study were to emphasize the interest of investigating achievement goals in car driving, to develop and validate a scale named Achievement Goal Questionnaire in Driving (AGQ-D), to compare this baseline model with five alternative models, to assess the gender invariance of the scale, and to study its concurrent validity using interest and self-efficacy in driving, accidents, at-fault accidents, emergency maneuvers, and fines. The results of the Confirmatory Factor Analysis showed the good psychometric properties of the scale completed by 420 French car drivers, in comparison with five alternative models. The scale was also invariant across gender. Finally, the results of the hierarchical regression analyses showed its concurrent validity. The most significant results highlighted that mastery-avoidance goals (i.e., to avoid being a bad driver and avoiding failing in driving task demands) negatively predicted self-reported accidents and at-fault accidents. Performance-approach goals (i.e., to outperform other drivers) also positively predicted self-reported emergency maneuvers. The AGQ-D is now a tool available to develop research in the driving domain and to extend the numerous advances already found in other domains.

Highlights

  • Six million traffic accidents and 37,461 fatalities were recorded in 2016 by the police in the United States [1]

  • The results of the Confirmatory Factor Analysis (CFA) conducted on the covariance matrix of the 12-items Achievement Goal Questionnaire in Driving (AGQ-D) met the criteria for an acceptable fitting model: χ2(48, N = 420) = 109.56, p < .001, Comparative Fit Index (CFI) = .974, Tucker-Lewis Index (TLI) = .965, SRMR = .041, Root Mean Square Error of Approximation (RMSEA) =

  • This study is the first to apply the 2 x 2 model of achievement goals to the driving domain. It showed the good psychometric properties of the 12-items measure (Achievement Goal Questionnaire in Driving, AGQ-D); the better fit of this model compared to five other models; the gender invariance of the AGQ-D; and its concurrent validity using both variables central in the achievement goal literature and in the driving literature

Read more

Summary

Introduction

Six million traffic accidents and 37,461 fatalities were recorded in 2016 by the police in the United States [1].

Objectives
Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.