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Table 3 Model Fit Indices for Mixture Model Analysis of Housing Stability

From: Housing first, connection second: the impact of professional helping relationships on the trajectories of housing stability for people facing severe and multiple disadvantage

 

AIC

BIC

ABIC

Entropy

LMR LR Test

p-values

ALMR LR Test

p-value

Sample proportion per class

Classification accuracy

BLRT

p-value

1-Class

97,888.464

97,939.485

97,910.891

  

2141

2-Class

93,144.013

93,212.041

93,173.916

.944

p < .001

p < .001

(1304; 61%), (837; 39%)

.979–.984

p < .001

3-Class

91,663.649

91,748.684

91,701.027

.948

p < .01

p < .01

(1240; 58%), (794; 37%), (107; 5%)

.974–.979

p < .001

4-Class

90,635.439

90,737.482

90,680.293

.951

.466

.475

(1203; 56%), (93; 5%), (778; 36%), (67; 3%)

.972–.987

p < .001

  1. Note. AIC Akaike information criterion; BIC Bayesian information criterion; ABIC Sample-size adjusted BIC; LMR LR Vuong-Lo-Mendell-Rubin Likelihood Ratio Test; ALMR LR Lo-Mendell-Rubin Adjusted LRT Test; BLRT Bootstrap likelihood ratio test