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Table 1.

Principal component analysis with Varimax rotation with Kaiser normalization.

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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).

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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.

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Table 2.

Results and latent classes distribution for each Bayesian LCA cluster solution.

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Table 2 Expand

Table 3.

Latent classes characterization for each Bayesian LCA cluster solution.

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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.

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