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 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 - |
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Original language | Japanese |
Pages (from-to) | 312-323 |
Number of pages | 12 |
Journal | Journal of Environmental Engineering (Japan) |
Volume | 87 |
Issue number | 796 |
DOIs | |
Publication status | Published - 2022 Jun |
ASJC Scopus subject areas
- Environmental Engineering