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. Author manuscript; available in PMC: 2017 May 1.
Published in final edited form as: Psychol Addict Behav. 2016 May;30(3):300–311. doi: 10.1037/adb0000175

Table 2. Model Fit for LCAs from W1-W3.

# C AIC BIC ABIC Entropy LMR BLRT % in class
W1 2 1926.27 1991.25 1946.79 0.89 476.44 485.41 7, 93
3 1900.32 1993.12 1929.60 0.77 637.89 649.89 14, 9, 77
4 1887.95 1985.42 1918.73 0.90 737.04 750.92 5, 4, 8, 83
5 1892.87 2027.47 1935.378 0.90 10.88+ 11.08+ 4, 8, .5, 4, 83
W2 2 3229.06 3311.98 3254.82 0.89 1165.6 1183.3 14, 86
3 3100.80 3215.97 3136.59 0.90 151.38 153.92 4, 13, 83
4 3003.57 3155.60 3050.81 0.88 115.91 117.66 4, 5, 11, 79
5 2982.16 3161.82 3037.98 0.88 122.09 124.14 3, 4, 5, 14, 74
W3 2 4265.84 4348.27 4291.11 0.88 1164.1 1183.7 31, 69
3 4111.77 4235.41 4149.67 0.87 184.47 187.27 11, 21, 68
4 4013.90 4165.01 4060.23 0.88 252.91 257.18 5, 10, 23, 63
5 3980.25 4158.84 4035.00 0.90 83.87 85.46 4, 7, 10, 15, 62
6 3950.51 4152.00 4012.28 0.91 61.01 62.19 3, 5, 7, 8, 15, 63

Note. W = Wave, C = class, AIC = Akaike Information Criteria, BIC = Bayesian Information Criteria, ABIC = sample size Adjusted Bayesian Information Criteria, LMR = Lo-Mendell-Rubin test, BLRT = bootstrapped likelihood ratio test. All LMR and BLRT values are significant unless labeled +, in which case, p > .05. Lower AIC, BIC, and ABIC values, and higher entropy indicate better fit.