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Some methodological deficiencies in studies on traffic accident predictors
Authors:af Wåhlberg A E
Affiliation:Department of Psychology, Uppsala University, Box 1225, 75142, Uppsala, Sweden. anders.af_wahlberg@psyk.uu.se
Abstract:The paper discusses some methodological problems in (psychological) research on traffic accident predictors and reviews a convenience sample of the literature. Three methodological aspects are identified as being important: reliability of accident predictors, time period for accidents used as dependent variable, and culpability for accidents. Papers are scrutinized and most are found to be wanting in these aspects. Traffic researchers do not adhere to, or hardly even discuss, these basic methodological problems. It is concluded that the current research into (psychological) accident predictors is fraught with methodological deficiencies. Why most studies seem to be deficient in these aspects is not clear, as several researchers have pointed out these problems.
Keywords:ADVS  Attitude to Driving Violations  ASAT  Auditory Selective Attention Test  CFQ  Cognitive Failures Questionnaire  CSDS  Chronic Self-Destructiveness Scale  DAS  Driver Attitude Survey  DBI  Driver Behaviour Inventory  DBQ  Driver Behaviour Questionnaire  DMQ  Decision Making Questionnaire  DPM  Driver Performance Measurement  DSI  Driver Stress Inventory  DSQ  Driving Style Questionnaire  EFT  Embedded Figures Test  EPI  Eysenck Personality Inventory  FDI  Field Dependence-Independence  GEFT  Group Embedded Figures Test  HFT  Hidden Figures Test  HRP  High Risk Personality  MDIE  Montag Driving Internality-Externality  MMPI  Minnesota Multiphasic Personality Inventory  MOST  Motorcycle Operator Skill Test  MTP  Motorcycle Training Program  PRFT  Portable Rod-and-Frame Test  SEI  Self-Esteem Inventory  SLQ  Student Lifestyle Questionnaire  SMQ  Social Motivation Questionnaire  SSS  Sensation Seeking Scale  TABP  Type A Behavior Pattern  TPB  Theory of Planned Behaviour  VSAT  Visual Selective Attention Test  3D-EFT  Three-Dimensional Embedded Figures Test  
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