Data accompanying the Thesis publication “The Effects of Ageing on Driving Related Performance”

Data regarding the Neuropsychological tests. The following drivers were given the following Neuropsychological test: (1) Ufov Test (2) Dichotic Test (3) Trail-Making Test (4) Rey-Osterrieth Test (5) Paper Folding Test (6) Clock Drawing Test. Cronbach’s Alpha is the most general method of finding estimates of reliability through internal consistency. Cronbach’s Alpha is a measure of internal-consistency reliability that provides a lower-bound estimate of a test’s reliability based on a single administration. Multiple linear regression models were developed using nine neuropsychological tests (t<i>rail, clock, rey-copy, rey-recall, dichotic,paper, ufov1, ufov2, ufov3</i>) as predictors in order to predict general driving ability. Cronbach’s Alpha was first estimated using unit nominal weights i.e. weighting all items<br> equally. Further detail can be found in the thesis.

本数据集包含神经心理学测试相关数据。受试驾驶员完成了以下六类神经心理学测试：(1) Ufov测试（Ufov Test）；(2) 双耳分听测试（Dichotic Test）；(3) 连线测试（Trail-Making Test）；(4) 雷伊-奥斯特里赫测试（Rey-Osterrieth Test）；(5) 折纸测试（Paper Folding Test）；(6) 画钟测试（Clock Drawing Test）。克朗巴赫α系数（Cronbach’s Alpha）是通过内部一致性评估测试信度的最通用方法，该指标属于内部一致性信度的一种，可基于单次施测给出测试信度的下界估计。本研究构建了多元线性回归模型，以九项神经心理学测试（连线测试、画钟测试、雷伊临摹、雷伊回忆、双耳分听测试、折纸测试、Ufov1、Ufov2、Ufov3）作为预测变量，用以预测通用驾驶能力。研究首先采用单位名义权重，即对所有测试项目赋予均等权重，估算克朗巴赫α系数。更多详细信息可参阅相关学位论文。