Structural Equation Modeling of Group Differences in CES-D Ratings of Native Hawaiian and Non-Hawaiian High School Students

This report uses different forms of latent variable structural equation models (SEMs) of group differences in self-reported Center for Epidemiologic Studies Depression (CES-D) inventory results among a sample of Hawaiian and non-Hawaiian high school students.The models examined are organized progres...

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Bibliographic Details
Published in:Journal of adolescent research 2001-03, Vol.16 (2), p.108-149
Main Authors: Mcardle, John J., Johnson, Ronald C., Hishinuma, Earl S., Miyamoto, Robin H., Andrade, Naleen N.
Format: Article
Language:English
Subjects:
Affective Measures
Analysis of Variance
Center for Epidemiologic Studies Depression Scale
Cultural Differences
Depression (Psychology)
Hawaii
Hawaiians
High School Students
High Schools
Measurement Techniques
Measures (Individuals)
Mental depression
Minority & ethnic groups
Psychological tests
Secondary school students
Statistical Analysis
Theory Practice Relationship
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Summary:This report uses different forms of latent variable structural equation models (SEMs) of group differences in self-reported Center for Epidemiologic Studies Depression (CES-D) inventory results among a sample of Hawaiian and non-Hawaiian high school students.The models examined are organized progressively by increasing complexity, including mean differences models in the ANOVA tradition, mean differences combined with path analysis models, extensions to confirmatory factor analysis models, and common factor differences in multiple group models.Within each type of analysis, SEMs are defined and fitted to real CES-D data, and broad issues of group differences and invariance are considered.The substantive results indicate a high degree of invariance between Hawaiian and non-Hawaiian students within the same high schools on self-ratings of depression from the CES-D scale.These analyses illustrate theoretical and practical issues about common features and relationships among standard analysis of variance approaches and contemporary structural equation methodology.
ISSN:0743-5584
1552-6895
DOI:10.1177/0743558401162002