Literature DB >> 11474755

Motor vehicle crash involvement and moving violations: convergence of self-report and archival data.

W Arthur1, T Tubre, E A Day, M K Sheehan, M L Sanchez-Ku, D Paul, L Paulus, K Archuleta.   

Abstract

In the crash involvement literature, it is generally assumed that archival and other "objective" criterion data are superior to self-reports of crash involvement. Using 394 participants (mean age = 36.23 years), the present study assessed the convergence of archival and self-report measures of motor vehicle crash involvement and moving violations. We also sought to determine whether predictor/criterion relationships would vary as a function of criterion type (i.e., archival vs. self-report), and if a combination of both criteria would result in better prediction than would either by itself. The degree of agreement between the two criterion sources was low, with participants self-reporting more crashes and tickets than were found in their state records. Different predictor/criterion relationships were also found for the two criterion types; stronger effects were obtained for self-report data. Combining the two criteria did not result in relationships stronger than those obtained for self-reports alone. Our findings suggest that self-report data are not inherently inferior to archival data and, furthermore, that the two sources of data cannot be used interchangeably. Actual or potential applications include choosing the appropriate criterion to use, which, as the finding of this study reveals, may depend on the purpose of the investigation.

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Year:  2001        PMID: 11474755     DOI: 10.1518/001872001775992507

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  4 in total

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2.  The relationship between personalities and self-report positive driving behavior in a Chinese sample.

Authors:  Biying Shen; Weina Qu; Yan Ge; Xianghong Sun; Kan Zhang
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

3.  Study on the Relationship between Drivers' Personal Characters and Non-Standard Traffic Signs Comprehensibility.

Authors:  Antoni Wontorczyk; Stanislaw Gaca
Journal:  Int J Environ Res Public Health       Date:  2021-03-07       Impact factor: 3.390

4.  Predicting Crashes Using Traffic Offences. A Meta-Analysis that Examines Potential Bias between Self-Report and Archival Data.

Authors:  Peter Barraclough; Anders Af Wåhlberg; James Freeman; Barry Watson; Angela Watson
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

  4 in total

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