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探索的構造方程式モデリング (Exploratory Structural Equation Modeling)×潜在移行分析×
分野心理測定学心理測定学
系統Latent structureLatent structure
提唱年20092002
提唱者Tihomir Asparouhov, Bengt MuthénLinda M. Collins, Stephanie T. Lanza
種類Hybrid exploratory-confirmatory factor modelingMarkovian transition between latent states
原典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
別名ESEMLTA
関連54
概要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.
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ScholarGate手法を比較: Exploratory Structural Equation Modeling · Latent Transition Analysis. 2026-06-17に以下より取得 https://scholargate.app/ja/compare