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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http://dx.doi.org/10.1518/001872001775992507 | DOI Listing |
J Trauma Acute Care Surg
January 2025
From the Division of Acute Care Surgery, Department of Surgery (D.K., R.L.C., D.W., A.T., C.P., Z.E., J.H., G.L.P., M.N.), Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey; SaveLIFE Foundation (K.R., G.S., P.T.), Delhi, India; and Departments of Surgery (P.S.B.) and Medicine (P.S.B.), Weill Cornell Medicine, New York, New York.
Background: Road traffic crashes (RTCs) are a global health burden, particularly in India, where response times for first responders can be prolonged. Prior to enactment of a Good Samaritan Law (GSL) in 2016, involved bystanders could face criminal and financial liability for assisting at an RTC site. This study evaluates the impact of GSL on bystander RTC attitudes, awareness, and experiences in India, comparing outcomes pre- and post-GSL implementation across metropolitan cities (MCs) and nonmetropolitan cities (NMCs).
View Article and Find Full Text PDFPLoS One
January 2025
Graduate Institute of Injury Prevention and Control, College of Public Health, Taipei Medical University, Taipei City, Taiwan.
Background And Objective: Relevant research has provided valuable insights into risk factors for bicycle crashes at intersections. However, few studies have focused explicitly on three common types of bicycle crashes on road segments: overtaking, rear-end, and door crashes. This study aims to identify risk factors for overtaking, rear-end, and door crashes that occur on road segments.
View Article and Find Full Text PDFInt J Occup Saf Ergon
January 2025
Laboratory BioNR and Centre intersectoriel en santé durable (CISD), Université du Québec à Chicoutimi, Canada.
. This research aimed to describe the distribution and occurrence of work-related collisions involving paramedics across Quebec and compare these results with collisions of general vehicles. .
View Article and Find Full Text PDFForensic Sci Int
December 2024
Department of Biomedical, Metabolic and Neural Sciences, Institute of Legal Medicine, University of Modena and Reggio Emilia, Modena, Italy.
In case of severely burned bodies, victim identification by visual or fingerprints recognition is often prevented by altered body conditions. To overcome these circumstances, different techniques are available. Among these, the most reliable is molecular identification, especially in cases of detached body parts.
View Article and Find Full Text PDFAccid Anal Prev
December 2024
Institute of Transport Economics, Gaustadalléen 21, 0349 Oslo, Norway.
Meta-analyses, which present the best source of information on the effectiveness of interventions, are influenced by several biases. One category relates to the convenience of selective inclusion of those primary studies, which are more easily available than others. This availability bias includes bias from excluding the grey literature, bias from excluding non-English literature, and bias from excluding older studies.
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