Fit Indices for Latent Class Analysis.
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https://figshare.com/articles/dataset/_Fit_Indices_for_Latent_Class_Analysis_/669092
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Note: BIC = Bayesian information criterion (smaller values indicate better model fit). Entropy at least.80 (higher values indicates well identified classes). Class >5% (any class smaller than 5% not sufficient). LMR-LRT = Lo-Mendell-Rubin Adjusted Likelihood Ratio Test, test of fit between the model of interest (e.g., three-class model) and the model with one less class (e.g., two-class model). Sig = significant. NS = non-significant.
创建时间:
2013-03-27



