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Multivariate normal maximum likelihood with both ordinal and continuous variables, and data missing at random
A novel method for the maximum likelihood estimation of structural equation models (SEM) with both ordinal and continuous indicators is introduced using a flexible multivariate probit model for the ordinal indicators. A full information approach ensures unbiased estimates for data missing at random....
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| Published in: | Behav Res Methods |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5882529/ https://ncbi.nlm.nih.gov/pubmed/29374390 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3758/s13428-017-1011-6 |
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