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Full Information Maximum Likelihood Estimation for Latent Variable Interactions With Incomplete Indicators
Researchers have developed missing data handling techniques for estimating interaction effects in multiple regression. Extending to latent variable interactions, we investigated full information maximum likelihood (FIML) estimation to handle incompletely observed indicators for product indicator (PI...
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| Veröffentlicht in: | Multivariate Behav Res |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5489914/ https://ncbi.nlm.nih.gov/pubmed/27834491 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00273171.2016.1245600 |
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