Analysis of latent profiles and affected factors according to the implementation of a protection system against customer bullying in Korea

Table 2 Suitability of latent profile type according to implementation of the protection system against customer bullying

Group number	AIC	BIC	saBIC	LMR	BLRT	Latent profile type distribution rate (%)
Group number	AIC	BIC	saBIC	LMR	BLRT	1	2	3	4	5	6
1	23043.842	23097.218	23065.450	N/A	N/A	100.0
2	19319.272	19404.673	19353.845	<.001	<.001	86.6	13.4
3	18064.035	18181.462	18111.574	<.001	<.001	79.0	15.9	5.1
4	17632.804	17782.256	17693.307	.012	<.001	66.6	14.9	13.5	5.0
5	17263.450	17444.928	17336.919	.013	<.001	66.6	15.1	9.8	3.9	4.8
6	16947.902	17161.406	17034.336	.685	1.000	66.6	16.1	5.5	3.1	4.0	4.8

Note: AIC Akaike information criterion, BIC Bayesian information criterion, saBIC sample size adjusted BIC, LMR Lo-Mendell likelihood ratio test, BLRT bootstrap likelihood ratio test

ISSN: 1471-2458