Mary Jeghers, Miriam Monahan, James Wersal, Sherrilene Classen
{"title":"使用 DriveSafety 250 模拟器评估驾驶错误的评分者可靠性。","authors":"Mary Jeghers, Miriam Monahan, James Wersal, Sherrilene Classen","doi":"10.1080/07380577.2022.2031370","DOIUrl":null,"url":null,"abstract":"<p><p>This study aimed to establish inter-rater reliability among three raters while training new driver rehabilitation specialists to correctly identify driving errors on a DriveSafety 250 driving simulator. Five participants completed adaptation, residential and suburban, and city and highway scenarios. Intraclass correlation coefficients indicated scores between .623-.877 (<i>p</i> = .003-.122) for the total driving errors recorded in the two scenario drives with rater agreement initially ranging between 7-8%. When analyzing the data for types of driving errors, the intraclass correlation coefficients ranged from .556-.973 (<i>p</i> < .05) and rater agreement between 15-100%. Through proper training and strategy development, raters reached 100% consensus on all aspects of inter-rater reliability while assessing driving errors.</p>","PeriodicalId":0,"journal":{"name":"","volume":" ","pages":"131-142"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rater-Reliability of Assessing Driving Errors with a DriveSafety 250 Simulator.\",\"authors\":\"Mary Jeghers, Miriam Monahan, James Wersal, Sherrilene Classen\",\"doi\":\"10.1080/07380577.2022.2031370\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study aimed to establish inter-rater reliability among three raters while training new driver rehabilitation specialists to correctly identify driving errors on a DriveSafety 250 driving simulator. Five participants completed adaptation, residential and suburban, and city and highway scenarios. Intraclass correlation coefficients indicated scores between .623-.877 (<i>p</i> = .003-.122) for the total driving errors recorded in the two scenario drives with rater agreement initially ranging between 7-8%. When analyzing the data for types of driving errors, the intraclass correlation coefficients ranged from .556-.973 (<i>p</i> < .05) and rater agreement between 15-100%. Through proper training and strategy development, raters reached 100% consensus on all aspects of inter-rater reliability while assessing driving errors.</p>\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":\" \",\"pages\":\"131-142\"},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/07380577.2022.2031370\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/2/2 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/07380577.2022.2031370","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/2/2 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Rater-Reliability of Assessing Driving Errors with a DriveSafety 250 Simulator.
This study aimed to establish inter-rater reliability among three raters while training new driver rehabilitation specialists to correctly identify driving errors on a DriveSafety 250 driving simulator. Five participants completed adaptation, residential and suburban, and city and highway scenarios. Intraclass correlation coefficients indicated scores between .623-.877 (p = .003-.122) for the total driving errors recorded in the two scenario drives with rater agreement initially ranging between 7-8%. When analyzing the data for types of driving errors, the intraclass correlation coefficients ranged from .556-.973 (p < .05) and rater agreement between 15-100%. Through proper training and strategy development, raters reached 100% consensus on all aspects of inter-rater reliability while assessing driving errors.