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Normal Theory GLS Estimator for Missing Data: An Application to Item-Level Missing Data and a Comparison to Two-Stage ML
Structural equation models (SEMs) can be estimated using a variety of methods. For complete normally distributed data, two asymptotically efficient estimation methods exist: maximum likelihood (ML) and generalized least squares (GLS). With incomplete normally distributed data, an extension of ML cal...
में बचाया:
| में प्रकाशित: | Front Psychol |
|---|---|
| मुख्य लेखकों: | , |
| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
Frontiers Media S.A.
2017
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| विषय: | |
| ऑनलाइन पहुंच: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5439014/ https://ncbi.nlm.nih.gov/pubmed/28588523 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2017.00767 |
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