黃世琤教授 Professor Shih-Tseng Tina Huang

32-2 Application of Multilevel Latent Variable Models on Perceived and Contextual Group Climate

Lawrence Y. Wang Shang-Ling Chen	Li-Fei Wang	Mei-Ju Lin
National Changhua University of Education	National Taiwan Normal University	National Dong Hwa University

The purpose of this study was to investigate the factorial structure of the Group Climate Questionnaire-Short Form (GCQ-S) by using multilevel confirmatory factor analysis (CFA) taking into account the nested nature of group counseling data. For meeting the sample size requirement of multilevel analysis, an integrated data set was drawn from three independent studies resulting in a total of 82 groups and 744 members. Results from item analysis show that the sixth and the eighth items of the GCQ-S performed poorly with non-significant factor loadings and small amount of variance explained. Results from the multilevel CFA after excluding the sixth and eighth items indicated that MacKenzie's three-factor theory was supported both at the individual level and at the group level. Specifically, while constraining individual level data to be three correlated factors, group level data could be modeled by either three correlated factors or two correlated factors. Though both models provided satisfactory model fit, the three-three-factor model was superior to the three-two-factor model. This study was among the very few empirical studies that support MacKenzie's theory of group climate. The results of this investigation provided practical implications for group counseling research.

Keywords
group climate、group counseling research、multi-level confirmatory factor analysis

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