Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Исследовательское моделирование структурными уравнениями× | Латентный анализ переходов× | |
|---|---|---|
| Область | Психометрия | Психометрия |
| Семейство | Latent structure | Latent structure |
| Год появления≠ | 2009 | 2002 |
| Автор метода≠ | Tihomir Asparouhov, Bengt Muthén | Linda M. Collins, Stephanie T. Lanza |
| Тип≠ | Hybrid exploratory-confirmatory factor modeling | Markovian transition between latent states |
| Основополагающий источник≠ | Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16(3), 397-438. DOI ↗ | Collins, L. M., & Lanza, S. T. (2010). Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences. Wiley. ISBN: 9780470228395 |
| Другие названия | ESEM | LTA |
| Связанные≠ | 5 | 4 |
| Сводка≠ | Exploratory Structural Equation Modeling (ESEM) is a hybrid approach that combines exploratory factor analysis (EFA) with confirmatory factor analysis (CFA) and path modeling, developed by Asparouhov and Muthén (2009). ESEM relaxes restrictive zero-loading assumptions of traditional CFA, allowing all indicators to load on all factors, which can reveal cross-factor complexity and improve model fit while retaining the ability to test substantive structural theories. | Latent Transition Analysis (LTA) is a method for studying transitions between latent classes over time, developed by Collins and Lanza (2010). LTA combines latent class analysis (grouping individuals into classes) with Markovian transition models to understand how people move between qualitatively distinct states across time periods. |
| ScholarGateНабор данных ↗ |
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