Network analysis of adolescent non-suicidal self-injury subgroups identified through latent profile analysis

doi:10.5498/wjp.v14.i12.1936

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World Journal of Psychiatry

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2220-3206

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Psychiatry. Dec 19, 2024; 14(12): 1936-1946
Published online Dec 19, 2024. doi: 10.5498/wjp.v14.i12.1936

Table 3 Fit indices for three models using latent profile analysis (n = 3967)

M	df	χ²	G²	aBIC	AIC	Entropy	LMR	BLRT	Group size for each profile (%)
M	df	χ²	G²	aBIC	AIC	Entropy	LMR	BLRT	1	2	3	4
1	2963	16130	312372	386431	380120.1	-	-	-	3967 (100)
2	2742	12040	290985.2	366874.6	359174.5	0.781	0.043	0.001	1225 (35.7)	2742 (64.3)
3	1121	23910	282288.2	371608.7	353719.4	0.742	0.342	0.001	488 (12.3)	747 (18.8)	2732 (68.9)
4	1292	26059	279126.3	367029.9	350215.5	0.670	0.471	0.001	1067 (26.9)	603 (15.2)	1944 (49)	353 (0.088)

Numbers in bold indicate “best” fit. AIC: Akaike information criterion; BIC: Bayesian information criterion; aBIC: Adjusted Bayesian information criterion; pLMR: P value for LoMendell-Rubin adjusted likelihood ratio test for K vs K-1 profiles; pBLRT: P value for bootstrapped likelihood ratio test.

Citation: Yang W, Lian K, Cheng YQ, Xu XF, Duan XC, You X. Network analysis of adolescent non-suicidal self-injury subgroups identified through latent profile analysis. World J Psychiatry 2024; 14(12): 1936-1946
URL: https://www.wjgnet.com/2220-3206/full/v14/i12/1936.htm
DOI: https://dx.doi.org/10.5498/wjp.v14.i12.1936