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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