Table 2.

Fit Indices for Models Examining Teacher-Student Warmth and Conflict Trajectories in Grade 1 to 12

Model	LogL	AIC	BIC	SABIC	Entropy	LMR-LRT	p
Warmth
2-Class	−6850.72	13737.44	13821.31	13764.15	0.71	579.86	< .001
3-Class	−6800.56	13645.12	13747.63	13677.77	0.70	96.69	0.10
4-Class	−6778.28	13608.56	13729.70	13647.13	0.69	42.96	0.22
5-Class	−6759.81	13579.62	13719.40	13624.13	0.61	35.60	0.33
6-Class	−6751.86	13571.71	13730.13	13622.16	0.58	15.33	0.56
Conflict
2-Class	−6532.31	13100.62	13184.49	13127.33	0.89	1443.30	< .001
3-Class	−6394.94	12833.87	12936.37	12866.51	0.85	264.81	0.15
4-Class	−6325.13	12702.25	12823.39	12740.83	0.84	134.57	0.27
5-Class	−6273.25	12606.50	12746.28	12651.01	0.83	100.00	0.29
6-Class	−6226.08	12520.17	12678.58	12570.62	0.82	90.92	0.28

Note. LogL = Loglikelihood, AIC = Akaike information criteria, BIC = Bayesian information criteria, SABIC = Sample-size adjusted Bayesian information criteria; LMR-LRT = Lo-Mendell-Rubin likelihood ratio test. G = grade. Class solutions highlighted in bold were selected as the optimal model for each set of analyses.