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Is adding more indicators to a latent class analysis beneficial or detrimental? Results of a Monte-Carlo study
The purpose of this study was to examine in which way adding more indicators or a covariate influences the performance of latent class analysis (LCA). We varied the sample size (100 ≤ N ≤ 2000), number, and quality of binary indicators (between 4 and 12 indicators with conditional response probabili...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140387/ https://www.ncbi.nlm.nih.gov/pubmed/25191298 http://dx.doi.org/10.3389/fpsyg.2014.00920 |