A multidimensional approach has been previously applied for modeling and assessment of individual differences in the ability to sleep or to stay awake at certain clock hours. More recently the 19 time-point Visuo-verbal Judgment Task (VJT) has been proposed to predict changes in sleepiness level from the morning hours to the next day afternoon. The dimensionality of the VJT has not been explored so far. We applied a structural model of individual variation in sleep-wake behavior and habits for explaining the pattern of relationship between the VJT's dimensions yielded by rotation of principal components with eigenvalue>1. The responses to 19 items of the VJT, 72 items of 6-scale Sleep Wake Pattern Assessment Questionnaire (SWPAQ) and 60 items of 6-scale Sleep-Wake Adaptability Test (SWAT) were collected from 1037 survey participants. Factor analyses yielded 4 factorial dimensions of morning (08:00–11:00), daytime (12:00–20:00), nighttime (21:00–04:00), and after 24 h sleepiness (06:00–12:00 next day). The model was found to be capable to explain the correlations among 4 constructs of the VJT as well as the correlations among previously developed scales of the SWPAQ and SWAT. The results confirmed the predictive power of the model and its applicability for multidimensional assessments in chronobiological and chronopsychological studies.

先前已将多维方法用于建模和评估在某些时钟时间的睡眠或保持清醒能力的个体差异。最近，已经提出了19个时间点的视觉-言语判断任务（VJT），以预测从早上到第二天下午的嗜睡程度的变化。到目前为止，尚未探讨VJT的尺寸。我们应用了睡眠-觉醒行为和习惯的个体变化的结构模型来解释特征值> 1的主分量旋转产生的VJT尺寸之间的关系模式。从1037名调查参与者中收集了对19项VJT，72项6阶睡眠觉醒模式评估问卷（SWPAQ）和60项6阶睡眠觉醒适应性测试（SWAT）的回答。因子分析得出了早晨（08：00–11：00），白天（12：00–20：00），夜间（21：00–04：00）和24小时嗜睡后（06：00–第二天12:00）。发现该模型能够解释VJT的4个构造之间的相关性，以及先前开发的SWPAQ和SWAT量表之间的相关性。结果证实了该模型的预测能力及其在年代生物学和年代心理学研究中的多维评估的适用性。