note

【データ分析】構造方程式モデル (Structural Equation Modeling, SEM)

1.1 構造方程式モデルとは？（辞書的な説明） 構造方程式モデル (Structural Equation Modeling, SEM) は、統計モデリングの一種で、因果関係を含む多変量データの分析に用いられています。 SEM は、変数間の関係を方程式で表現することで、応答変数を説明する因子 ...
中小企業庁

付注1-4-1 構造方程式モデリングについて

第1部第4章第1節における構造方程式モデリングを用いた分析方法について、補足を行う。 構造方程式モデリング（SEM：Structural Equation Modeling）とは、仮説として設定した多数の変数間の関係を、線形結合の形にモデリングして行う分析をいう。仮説の妥当性 ...
IEEE

Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing ...

Abstract: Problem: Partial least squares (PLS), a form of structural equation modeling (SEM), can provide much value for causal inquiry in communication-related and behavioral research fields. Despite ...
Frontiers

Basic assumptions, core connotations, and path methods of model modification—using ...

Structural equation modeling (SEM) is a widely used statistical method in social science. However, many published articles employing SEM appear to contradict its underlying principles and assumptions, ...
IEEE

Impact of AI-Powered Adaptive Learning Platforms on English Reading Proficiency: Evidence ...

Abstract: This study examines the impact and mediating mechanisms of AI-powered adaptive learning platforms on enhancing English reading proficiency. Using structural equation modeling (SEM) on data ...
GitHub

stat-anon/SEM_SAMPLE_ALLOCATION

This repository contains the R implementation accompanying the manuscript [title omitted for blind review]. The toolbox provides functions and examples for optimizing sample allocation across two ...