Patterns of information literacy and their predictors among emergency department nurses: a latent profile analysis based on the person-context interaction theory

Table 3 Model fit indexes of latent profile analysis (N = 2384)

Model	K	AIC	BIC	aBIC	Entropy	LMR	VLMR	BLRT	Category probability
One-profile	60	188071.901	188418.493	188227.860	-	-		-	-
Two-profile	91	168275.691	168801.356	168512.229	0.940	0.000	0.000	0.000	50.21/49.79
Three-profile	122	160889.683	161594.420	161206.800	0.937	0.000	0.000	0.000	35.49/41.94/22.57
Four-profile	153	156359.659	157243.469	156757.355	0.935	0.000	0.000	0.000	20.14/42.11/23.36/14.39
Five-profile	184	152955.369	154018.251	153433.644	0.936	0.013	0.013	0.000	29.11/14.44/20.09/21.64/14.72
Six-profile	215	150460.692	151702.647	151019.546	0.945	0.016	0.016	0.000	14.01/ 28.69/18.92/13.63/13.21/11.54

Note: AIC: Akaike information criterion, BIC: Bayesian information criterion, ABIC: same-size adjusted Bayesian information criterion, LMR: Lo-Mendell-Rubin likelihood ratio test, VLMR: Vuong-Lo-Mendell-Rubin likelihood ratio test, BLRT: Bootstrapped likelihood ratio test

ISSN: 1472-6955