Multi-linear regression analyses.

Evaluation of the three entropy measurements (within-subject, inter-subject and pooled) with respect to average response times per subject per task . Models include the average response time of each subject during the experiment and a constant . Beta values correspond to the standardized coefficients. reflects the fraction of variance of explained by the model. Results indicate that, when is fixed, is the best descriptor in order to explain . This model containing the term had also the highest . Even when analyzing only the consistent decisions per subject per task, had a significant predictive capacity and the model was able to explain about half of the variability of .

针对每名被试在每项任务上的平均反应时，对三种熵测度：组内熵（within-subject）、组间熵（inter-subject）与合并熵（pooled）进行评估。所构建的模型包含实验期间每名被试的平均反应时项与常数项，Beta值对应标准化回归系数。该指标反映了模型可解释的对应变量的方差占比。研究结果表明，当某参数固定时，某测度是解释对应变量的最佳指标。包含该测度项的模型同样拥有最高的拟合优度指标。即便仅针对每名被试每项任务的一致性决策开展分析，该测度仍具备显著的预测能力，且该模型可解释约对应变量一半的变异性。