手法を比較

	探索的構造方程式モデリング (Exploratory Structural Equation Modeling)	Wordscores
分野	心理測定学	心理測定学
系統	Latent structure	Latent structure
提唱年	2009	2003
提唱者	Tihomir Asparouhov, Bengt Muthén	Michael Laver, Kenneth Benoit, John Garry
種類	Hybrid exploratory-confirmatory factor modeling	Text analysis and dimension reduction
原典	Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16(3), 397-438.	Laver, M., Benoit, K., & Garry, J. (2003). Extracting policy positions from political texts using words as data. American Political Science Review, 97(2), 311-331.
別名	ESEM	—
関連	5	5
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.	Wordscores is a text-based scaling method developed by Laver, Benoit, and Garry (2003) that estimates the policy positions of political actors based on word frequencies in their texts. By comparing word usage in reference texts of known positions with test texts, the method infers the latent political dimension of any document without requiring manual coding or training data.