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Validating a Comprehensive Model of Environmental Concern Cross‐Nationally: A U.S.‐Canadian Comparison *
Author(s) -
Xiao Chenyang,
Dunlap Riley E.
Publication year - 2007
Publication title -
social science quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 90
eISSN - 1540-6237
pISSN - 0038-4941
DOI - 10.1111/j.1540-6237.2007.00467.x
Subject(s) - conceptualization , confirmatory factor analysis , construct (python library) , structural equation modeling , perspective (graphical) , psychology , construct validity , test (biology) , perception , social psychology , psychometrics , computer science , statistics , developmental psychology , ecology , mathematics , artificial intelligence , neuroscience , biology , programming language
Objective. The dimensionality of “environmental concern” remains ambiguous despite decades of research on environmental attitudes and beliefs. We attempt to provide insight into this issue by using the belief systems perspective and confirmatory factor analysis (CFA) to test a comprehensive conceptualization of environmental concern. Methods. The study employs a comparative design by using national probability samples of citizens from Canada and the United States, and a comprehensive conceptualization model to maximize content validity. We utilize CFA and structural equation modeling techniques to avoid well‐known measurement error problems in survey research. Results. Eight key facets of environmental concern have moderate to high factor loadings on one underlying construct, and all but perception of community problems and national problems have high loadings. Further analyses provide construct validation for our measurement model. Conclusion. Our results suggest that even among the general public, attitudes toward environmental issues are relatively well organized into a broad and coherent sense of “concern for the environment.” The similarity in the U.S. and Canadian results increases our faith in the validity of our comprehensive conceptualization of environmental concern, as well as the utility of the belief systems perspective and CFA modeling for future studies of environmental attitudes and beliefs.