Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

現在、構造方程式モデリング(SEM: Structural Equation Modeling)について学んでいます。「構造方程式モデリング」という名前がカッコいいですよね！この名前だけでも、このモデリングについて学びたいと思ってしまいます。今学んでいる構造方程式モデリングの ...

共分散構造分析とか構造方程式モデリングなどと訳されるStructural Equation Modeling（以下SEM）の入門書を読んでみました。文字通りの入門書であり、前提知識不要で読める安心な一冊です。心理統計の入門書は小塩先生にお世話になりっぱなしです。 私がこれ ...

modsem is an R-package for estimating interaction (i.e., moderation) effects between latent variables in structural equation models (SEMs), based on the lavaan syntax ...

This project demonstrates the application of Structural Equation Modeling (SEM) to explore the relationships between key social and governance indicators influencing national well-being. Using data ...

The Q-matrix serves as a bridge that links items and attributes, and its accuracy affects the results of cognitive diagnosis. Inaccuracy of the Q-matrix are a common issue frequently encountered in ...