Table 1: Models and their fit statistics.

BIC (LL) parPRE in %Bootstrap value Class. err. (%)

Baseline model30067.79449608.640.0000
1 cfa factor 5 classes27483.56606902.9928.160.00029.71
2 cfa factors 3, 326259.74615671.5740.970.00619.37
2 cfa factors 4, 426065.31635461.9743.160.03626.63
2 cfa factors 4, 526051.84645440.9143.370.05626.68
2 cfa factors 5, 526033.25655414.7343.650.06226.48
2 cfa factors 6, 526032.60665406.4943.730.02438.37
2 cfa factors 5, 5 errorcov 1 and 1026016.70665390.6043.900.05024.82

Note. BIC: Bayesian Information Criterion; par: number of parameters in the statistical model; : squared log-likelihood; PRE: proportion reduction of error; Class. err.: classification errors. Models are divided into a one-factor model, bifactorial models with different numbers of classes, and a final model with two factors including five classes each, where the error correlation between items 1 and 10 is .20. The model with the best fit is presented in bold.