Michelle L Meadows
Are women better drivers than men?
Meadows, Michelle L; Stradling, Stephen G
Authors
Stephen G Stradling
Contributors
J Hartley
Editor
A Branthwaite
Editor
Abstract
Are women better drivers than men? As applied social psychologists working in the area of driver behaviour this is a question we often get asked. How should we go about answering it? What - at first sight - appears a straightforward question turns out to require a range of different research tools (Meadows & Stradling, 1995). These include:
• analyses of accident statistics
• questionnaire/survey studies of drivers
• performance studies using driving simulators, instrumented vehicles, videotaped driving behaviour or on-road observation
• statistical procedures for summarising data, and exploring interactions between different variables
• deriving models for organising concepts and findings and subsequently suggesting directions for future research.
In this chapter we shall present information derived from using a number of these tools, mostly analyses of data from accident statistics, surveys and questionnaires, and conclude with a summary model of factors influencing the behaviour of drivers.
Citation
Meadows, M. L., & Stradling, S. G. (2000). Are women better drivers than men?. In J. Hartley, & A. Branthwaite (Eds.), The Applied Psychologist (126-146). Open University Press
Publication Date | 2000 |
---|---|
Deposit Date | Jan 8, 2010 |
Publicly Available Date | Jan 8, 2010 |
Peer Reviewed | Peer Reviewed |
Pages | 126-146 |
Book Title | The Applied Psychologist |
ISBN | 978-0335202843 |
Keywords | women drivers; driver behaviour; accident statistics; competence; |
Public URL | http://researchrepository.napier.ac.uk/id/eprint/3593 |
Contract Date | Jan 8, 2010 |
Files
Are Women Better Drivers Than Men? (accepted version)
(273 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search