Málišová Eva, Dančík Daniel, Heretik Anton, Abrahámová Miroslava, Krakovská Simona, Brandoburová Petra, Hajdúk Michal
Department of Psychology, Faculty of Arts, Comenius University, Bratislava, Slovakia.
The Centre for Psychiatric Disorders Research, Science Park, Comenius University, Bratislava, Slovakia.
Appl Neuropsychol Adult. 2021 Mar 24;29(6):1476-1483. doi: 10.1080/23279095.2021.1890596.
The Trail Making Test (TMT) is a popular measure of cognitive functioning, especially processing speed and cognitive flexibility. This study aims to provide normative data for the Slovak adult population. The secondary aim is to test the convergent validity by examining relationships of direct and derived indices to other neuropsychological measures. A sample of 487 healthy adults undertook neuropsychological testing. The relationships of TMT scores to demographic variables and other neuropsychological measures were tested. Age was positively correlated with TMT-A (r = 0.444, < .01), TMT-B (r = 0.426, < .01), and the B-A index (r = 0.317, < .01). Years of education were negatively correlated with TMT-B (r = -0.183, < .01), B-A difference (r = -0.188, < .01) and B/A ratio (r = -0.119, < .01). There were no statistically significant differences in performance based on gender. The test scores were correlated with other measures of processing speed and executive functions. Presented normative data are stratified into 7 age categories. For more accurate interpretation, regression equations were calculated to take years of education into account. TMT-A and B performance, as well as B-A difference score, must be interpreted in relation to age, while education can provide additional information. The B/A ratio is independent from age but should be also corrected for educational level.
连线测验（TMT）是一种常用的认知功能测量方法，尤其用于评估处理速度和认知灵活性。本研究旨在为斯洛伐克成年人群提供常模数据。次要目的是通过检验直接指标和派生指标与其他神经心理学测量方法之间的关系来测试收敛效度。487名健康成年人参与了神经心理学测试。对TMT分数与人口统计学变量及其他神经心理学测量方法之间的关系进行了测试。年龄与TMT-A（r = 0.444，p <.01）、TMT-B（r = 0.426，p <.01）以及B-A指数（r = 0.317，p <.01）呈正相关。受教育年限与TMT-B（r = -0.183，p <.01）、B-A差值（r = -0.188，p <.01）和B/A比率（r = -0.119，p <.01）呈负相关。基于性别的表现没有统计学上的显著差异。测试分数与其他处理速度和执行功能的测量方法相关。给出的常模数据分为7个年龄类别。为了更准确地解释，计算了回归方程以考虑受教育年限。TMT-A和B的表现以及B-A差值分数必须结合年龄来解释，而教育程度可以提供额外信息。B/A比率与年龄无关，但也应根据教育水平进行校正。
