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Updated: Feb 25, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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私のモデルの可能性は? ベイジアン後方確率 (BPP) を用いた構造方程式モデルのモデルの妥当性を評価する

Ivan Jacob Agaloos Pesigan1, Shu Fai Cheung2, Huiping Wu3

  • 1Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, PA, USA.

Behavior research methods
|February 23, 2026
PubMed
まとめ

研究者は,ベイジアン後方確率 (BPP) と新しい隣接モデル選択方法を使用して,最も妥当な構造方程式モデル (SEM) を選択することができます. R パッケージである modelbpp は,このプロセスを自動化し,より良いモデル評価を実現します.

キーワード:
BIC BICは,BIC BICとして,BIC BICとして,BIC BICとして,信頼セットは信頼セットです.モデル比較 モデル比較後の確率の確率について.構造方程式モデリング

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