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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...
שמור ב:
| הוצא לאור ב: | Multivariate Behav Res |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
2016
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| נושאים: | |
| גישה מקוונת: | 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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