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. Author manuscript; available in PMC: 2023 Aug 1.
Published in final edited form as: J Sch Psychol. 2022 Jul 15;93:79–97. doi: 10.1016/j.jsp.2022.06.001

Table 3.

Fit Statistics for Latent Profile Analysis of Teacher-Student Interactional Quality

Number of classes npar Log likelihood BIC ABIC CAIC AWE VLMR-LRT p Entrop y BF cmP Class Prevalence
1 24 −5445.09 11029.60 10953.51 11053.64 11241.10 - - <.00 <.00 1
2 37 −4664.94 9544.89 9427.53 9581.89 9870.91 .014 .92 <.00 <.00 .41, .59
3 50 −4403.17 9096.90 8938.30 9146.90 9537.46 .120 .90 <.00 <.00 .25, .31, .44
4 63 −4299.77 8965.64 8765.79 9028.64 9520.74 .372 .91 <.00 <.00 .06, .23, .34, .37
5 76 −4216.05 8873.75 8632.67 8949.75 9543.40 .266 .91 <.00 <.00 .06, .08, .23, .31, .32
6 89 −4165.70 8848.59 8566.27 8937.59 9632.78 .740 .89 <.00 1.00 .06, .09, .13, .16, .28, .29

Note. npar = number of parameters. BIC = Bayesian Information Criterion. ABIC = sample size adjusted BIC. CAIC = constant Akaike information criterion. AWE = approximate weight of equivalence. VLMR-LRT p = p-value of Vuong Lo Mendel Rubin likelihood ratio test. BF = bayes factor. cmP = correct model probability. Bolded values indicate preferred model for a given fit index.