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Fit indices for the latent class and CFA factor mixture modeling.

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https://figshare.com/articles/dataset/_Fit_indices_for_the_latent_class_and_CFA_factor_mixture_modeling_/1408260
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Note: CFA = Confirmatory Factor Analysis; AIC = Akaike Information Criteria; BIC = Bayesian Information Criteria; SSABIC = Sample size adjusted BIC. LMR test = Lo-Mendell-Rubin adjusted likelihood ratio test value; p = p-value associated with LMR test. Lower BIC, AIC, SSABIC and LMR values indicate better fit of the model and higher entropy indicates better classification quality. The most appropriate class solution is in bold. Based on the fit indices, latent classes were formed based on the results of the latent class analysis rather than CFA factor mixture modeling. Fit indices for the latent class and CFA factor mixture modeling.
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2015-05-07
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