環境心理評価構造における統計的因果分析(その 4):環境・個人のマルチレベルデータに対する因果モデリング- マルチレベル SEM の適用および推定・検定の甘さを補正する簡便法の提案 -

Translated title of the contribution: CAUSALITY ANALYSIS ON ENVIRONMENTAL EVALUATION (PART 4): CAUSAL MODELING FOR MULTILEVEL DATA OF ENVIRONMENT AND INDIVIDUAL - Application of Multilevel-SEM and proposal of adjustment technique for statistical tests -

Takaya Kojima*, Sohei Tsujimura, Takeshi Akita, Naoko Sano

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study examines the methodology of causal modeling for data in which each environment was evaluated by multiple subjects. The results are as follows; 1) The reasons for difference between interclass effect and intraclass effect were organized as five mechanisms. 2) The method was proposed to correct the tendency for statistical tests as single-level model to become loose. 3) As a case study, ML-SEM were applied to some survey data, and the application method of ML-SEM and its effectiveness were shown.

Translated title of the contributionCAUSALITY ANALYSIS ON ENVIRONMENTAL EVALUATION (PART 4): CAUSAL MODELING FOR MULTILEVEL DATA OF ENVIRONMENT AND INDIVIDUAL - Application of Multilevel-SEM and proposal of adjustment technique for statistical tests -
Original languageJapanese
Pages (from-to)312-323
Number of pages12
JournalJournal of Environmental Engineering (Japan)
Volume87
Issue number796
DOIs
Publication statusPublished - 2022 Jun

ASJC Scopus subject areas

  • Environmental Engineering

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