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Effect Size, Statistical Power and Sample Size Requirements for the Bootstrap Likelihood Ratio Test in Latent Class Analysis

Selecting the number of different classes which will be assumed to exist in the population is an important step in latent class analysis (LCA). The bootstrap likelihood ratio test (BLRT) provides a data-driven way to evaluate the relative adequacy of a (K −1)-class model compared to a K-class model....

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Bibliografski detalji
Glavni autori: Dziak, John J., Lanza, Stephanie T., Tan, Xianming
Format: Artigo
Jezik:Inglês
Izdano: 2014
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4196274/
https://ncbi.nlm.nih.gov/pubmed/25328371
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2014.919819
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