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. 2018 Dec 13;36:100606. doi: 10.1016/j.dcn.2018.12.004

Table 3.

Varimax Rotated Loadings for Three-Factor Model.

PC1
PC2
PC3
.025 0.50 .975 .025 0.50 .975 .025 0.50 .975
Pic Vocab 0.706 0.754 0.799 0.029 0.065 0.102 0.133 0.19 0.252
Flanker 0.161 0.213 0.26 0.668 0.712 0.754 0.013 0.067 0.119
List 0.4 0.471 0.538 0.105 0.148 0.195 0.416 0.493 0.563
Card Sort 0.163 0.205 0.252 0.668 0.71 0.751 0.184 0.232 0.287
Pattern −0.029 0.015 0.055 0.771 0.813 0.85 0.039 0.085 0.135
Picture −0.023 0.012 0.049 0.102 0.135 0.171 0.816 0.863 0.904
Reading 0.782 0.82 0.86 0.084 0.12 0.16 0.067 0.122 0.173
RAVLT 0.253 0.306 0.364 0.085 0.125 0.163 0.663 0.712 0.76
LMT 0.424 0.5 0.57 0.246 0.299 0.36 0.002 0.068 0.144

Pic Vocab = Toolbox Picture Vocabulary; Flanker = Toolbox Flanker Test; List Sort = Toolbox List Sort Working Memory Task; Card Sort = Dimensional Change Card Sort Task; Pattern = Toolbox Pattern Comparison Processing Speed Task; Picture = Toolbox Picture Sequence Memory Task; Reading = Toolbox Oral Reading Test; RAVLT = Rey Auditory Verbal Learning Task, total correct; LMT = Little Man Task percent correct. For Toolbox measures, uncorrected scores were entered into the analysis. Loadings above 0.40 are highlighted; this is an arbitrary cutoff intended solely to assist with simple description of the factors, and does not enter into follow-up analyses in any fashion. Quantiles are from the posterior draws of the MCMC algorithm for each factor loading after varimax rotation and give the middle 95% of the distribution of the loadings (i.e., 95% posterior credible intervals).