Fig 1.
Image, dataset, and example analysis of data acquisition from a study dealing with variance and covariance between individuals.
(A) For each item of a strategy, scores for each participant’s use and cost perception of that strategy are collected, and (B) a scatterplot is drawn and correlation coefficients are calculated. (C) An image of the actual data set.
Fig 2.
Image of data acquisition for a study dealing with intra-individual variance and covariance, and an example data set and analysis.
(A) The use and cost-sensitivity scores of each strategy item are collected for each participant; (B1) a scatterplot is drawn for each participant and correlation coefficients are also calculated. (B2) The differences in the mean values of the variables are taken for each participant and combined into a single scatter plot and correlation coefficients. (C) An image of the actual dataset.
Table 1.
The mean and standard deviation (enclosed in parentheses) of each assessment item of cognitive strategies and the number of people with and without prior strategy knowledge in Study 1.
Table 2.
The intra-class correlation coefficients per item of cognitive strategies (diagonal italic type) and within-person correlation coefficients in Study 1.
Table 3.
Results of Bayesian hierarchical modeling with the use of cognitive strategies as the dependent variable and participants and strategy items as random effects in Study 1.
Table 4.
The mean and standard deviation (enclosed in parentheses) of each assessment item of metacognitive strategies and the number of people with and without prior strategy knowledge in Study 2.
Table 5.
The intra-class correlation coefficients per item of metacognitive strategies (diagonal italic type) and within-person correlation coefficients in Study 2.
Table 6.
Results of Bayesian hierarchical modeling with the use of metacognitive strategies as the dependent variable and participants and strategy items as random effects in Study 2.