2022 Volume 87 Issue 796 Pages 312-323
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.
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