Table 2.

Results of Latent Class Analysis of the Internet Addiction Test and Problematic Use of the Internet Subtypes in the Chicago Sample

Classes	Log Likelihood	BIC	Entropy	LMR	p
IAT Total
1	−17,677.464a, b	35,885.634
2	−15,712.126a, b	32,492.383	.940	3923.374	<.001
3	−15,213.902a, b	32,033.359	.879	994.598	.760
PUI Subtypes
1	− 4230.458a	8842.172
2	− 4021.283c	8810.604	.815	417.271	.569
3	--3883.230d,e	8925.016	.832	282.587	.766

Note. LMR = Lo-Mendell-Rubin adjusted Likelihood Ratio Test when comparing the k to k – 1 class model; p = probability value for the Lo-Mendell-Rubin (LMR) adjusted Likelihood Ratio Test (LRT). IAT Total N = 1661. PUI Subtypes N = 564. ^aBest loglikelihood values initially obtained using 80, 16 and then replicated using 160, 32 random starting value perturbations.^bProblem of nonidentification for IAT item 4 threshold 4 in class 2 (PUI). ^cBest loglikelihood values initially obtained using 160, 32 and then replicated using 320, 64 random starting value perturbations. ^dBest loglikelihood values initially obtained using 1280, 256 and then replicated using 2560, 512 random starting value perturbations. ^eParameter estimation problems for Auction threshold 4 in Class 2, indicating possible model non-identification