Table 1.
Principal component analysis with Varimax rotation with Kaiser normalization.
Figure 1.
Latent classes performance in each cognitive dimension for each Bayesian LCA solution.
a 2-cluster (latent classes, LC1 to LC2), b 3-cluster (LC1 to LC3), c 4-cluster (LC1 to LC4).
Figure 2.
Schematic representation of the latent class membership distribution across the 2-, 3- and 4-cluster LCA solutions based on cross tabulation analysis.
Frequency counts and percentages of subjects are reported for each latent class in each cluster solution.
Table 2.
Results and latent classes distribution for each Bayesian LCA cluster solution.
Table 3.
Latent classes characterization for each Bayesian LCA cluster solution.
Figure 3.
Scatter plot and 3D plots of performance across cognitive dimensions for each latent class (LC1 to LC3) for the 3-cluster Bayesian LCA solution.
a scatter plot, b 3D plot according to latent class, and for each latent class 3D plots regarding c–e gender, f–h age and i–k school years.