Table 2.

Fit indices of Latent Class Growth Analyses for daily diary PRO scores

LCGA Model	LL	AIC	BIC	Entropy	VLMR (df = 3)
Anger
1-Class	−8339.75	16685.50	16697.30	n/a	n/a
2-Class	−8267.44	16546.88	16570.47	0.64	144.64^*
3-Class	−8224.78	16502.94	16502.94	0.83	85.33^**
4-Class	−8216.10	16456.20	16503.38	0.79	17.35^ns
Fatigue
1-Class	−8441.77	16889.54	16901.33	n/a	n/a
2-Class	−8368.92	16749.84	16773.44	0.89	145.69^*
3-Class	−8304.95	16627.90	16663.29	0.89	127.94^*
4-Class	−8299.35	16622.70	16669.89	0.86	11.20^ns
Depression
1-Class	−7658.53	15323.07	15334.87	n/a	n/a
2-Class	−7578.45	15168.91	15192.50	0.79	160.16^**
3-Class	−7527.97	15073.94	15109.33	0.86	100.97^*
4-Class	−7521.73	15067.47	15114.65	0.87	12.47^ns
Pain intensity
1-Class	−3792.73	7591.45	7603.25	n/a	n/a
2-Class	−3575.62	7163.25	7186.84	0.92	434.21^*
3-Class	−3461.69	6941.38	6976.77	0.90	227.86^**
4-Class	−3431.33	6886.66	6933.85	0.86	60.72^ns

Note: LCGA = Latent Class Growth Analysis; LL = log likelihood; AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion; VLMR = Vuong-Lo-Mendell-Rubin likelihood ratio test for K-1 (H0) versus K classes; ^ns = not significant.

p < .05;

^**

p < .01.