Common method variance and other sources of bias in road traffic research
Barraclough, Peter J. (2017) Common method variance and other sources of bias in road traffic research. PhD thesis, Queensland University of Technology.
Description
A series of studies examined the extent to which method bias, primarily Common Method Variance, potentially affect road safety studies. A meta-analysis, examining self-reported and archival records of traffic offences and crashes, found differences in terms of the size of the effects produced by the two data types. The research also found some evidence to suggest that effect sizes are inflated when dichotomous scales are used in preference to Likert scales, and also when both the predictor and the predicted variables are gathered and analysed in the same manner from the same source.
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| ID Code: | 104818 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Freeman, James E., Watson, Angela, & Watson, Barry C. |
| Keywords: | common method variance, method bias, social desirability, road crashes, road safety, meta-analysis, self-report data, traffic offences |
| DOI: | 10.5204/thesis.eprints.104818 |
| Divisions: | Current > Research Centres > Centre for Future Mobility/CARRSQ Past > QUT Faculties & Divisions > Faculty of Health Past > Institutes > Institute of Health and Biomedical Innovation |
| Institution: | Queensland University of Technology |
| Deposited On: | 06 Apr 2017 12:35 |
| Last Modified: | 04 Feb 2025 00:41 |
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