LATENT REFERENCES / TAG2
Structural Equation Modeling
Original title: 構造方程式モデリング
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Structural Equation Modeling (SEM) is analysis that models hypothesized relationships among numerous variables in the form of linear combinations. It is particularly useful for testing the validity of hypotheses. Structural equation modeling allows integrated correlation, regression, and factor analysis. Its advantages include analysis incorporating factors that cannot be observed directly, called latent variables, and the ability to specify multiple dependent variables within a single analysis.
https://scrapbox.io/files/65cee32940de8e0024e11139.png
#analysis
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。仮説の妥当性を検証する際に、特に有用な分析手法である。構造方程式モデリングでは、相関分析、回帰分析、因子分析を統合した分析が可能であり、メリットとして、潜在変数と呼ばれる直接は観測できない因子を含めての分析を行える点や、一つの分析内で複数の従属変数を設定できる点が挙げられる。
https://scrapbox.io/files/65cee32940de8e0024e11139.png
#analysis
Source updated 2024-08-06 · Snapshot 2026-10-08
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