Mixed Effects of Item Parceling on Performance of Factor Mixture Modeling
| Autor: | Yan Wang, Eunsook Kim, Siyu Liu, Diep Nguyen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics::Applications
Sociology and Political Science General Decision Sciences Model complexity Continuous variable Modeling and Simulation Factor (programming language) Statistics Mixed effects Statistics::Methodology Mixture modeling General Economics Econometrics and Finance computer Categorical variable computer.programming_language Mathematics |
| Zdroj: | Structural Equation Modeling: A Multidisciplinary Journal. 29:207-217 |
| ISSN: | 1532-8007 1070-5511 |
| DOI: | 10.1080/10705511.2021.1965483 |
| Popis: | Factor mixture modeling (FMM) is generally complex with both unobserved categorical and unobserved continuous variables. We explore the potential of item parceling to reduce the model complexity of... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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