Rater-Reliability of Assessing Driving Errors with a DriveSafety 250 Simulator.

Pub Date : 2024-01-01 Epub Date: 2022-02-02 DOI:10.1080/07380577.2022.2031370
Mary Jeghers, Miriam Monahan, James Wersal, Sherrilene Classen
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Abstract

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.

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使用 DriveSafety 250 模拟器评估驾驶错误的评分者可靠性。
本研究旨在对新驾驶员康复专家进行培训,使其能够在 DriveSafety 250 驾驶模拟器上正确识别驾驶错误时,建立三名评分员之间的评分可靠性。五名参与者分别完成了适应、住宅和郊区以及城市和高速公路场景的模拟。类内相关系数表明,在两种情景驾驶中记录的总驾驶错误的得分在 0.623-.877 之间(p = 0.003-0.122),评分者的一致性最初在 7-8% 之间。在分析驾驶错误类型的数据时,类内相关系数介于 0.556-.973 之间(p = 0.003-.122)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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