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Normal Theory Two-Stage ML Estimator When Data Are Missing at the Item Level
In many modeling contexts, the variables in the model are linear composites of the raw items measured for each participant; for instance, regression and path analysis models rely on scale scores, and structural equation models often use parcels as indicators of latent constructs. Currently, no analy...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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SAGE Publications
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5732622/ https://www.ncbi.nlm.nih.gov/pubmed/29276371 http://dx.doi.org/10.3102/1076998617694880 |