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Song, Xin-Yuan; Lee, Sik-Yum – Structural Equation Modeling, 2002
Developed a Bayesian approach for a general multigroup nonlinear factor analysis model that simultaneously obtains joint Bayesian estimates of the factor scores and the structural parameters subjected to some constraints across different groups. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Factor Analysis, Scores

Wang, Jichuan; Siegal, Harvey A.; Falck, Russell S.; Carlson, Robert G. – Structural Equation Modeling, 2001
Used nine different confirmatory factor analysis models to test the factorial structure of Rosenberg's (M. Rosenberg, 1965) self-esteem scale with a sample of 430 crack-cocaine users. Results partly support earlier research to show a single global self-esteem factor underlying responses to the Rosenberg scale, method effects associated with item…
Descriptors: Adults, Crack, Drug Use, Factor Analysis
Conway, James M.; Lievens, Filip; Scullen, Steven E.; Lance, Charles E. – Structural Equation Modeling, 2004
This simulation investigates bias in trait factor loadings and intercorrelations when analyzing multitrait-multimethod (MTMM) data using the correlated uniqueness (CU) confirmatory factor analysis (CFA) model. A theoretical weakness of the CU model is the assumption of uncorrelated methods. However, previous simulation studies have shown little…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Factor Structure, Simulation
Hilton, Sterling C.; Schau, Candace; Olsen, Joseph A. – Structural Equation Modeling, 2004
In addition to student learning, positive student attitudes have become an important course outcome for many introductory statistics instructors. To adequately assess changes in mean attitudes across introductory statistics courses, the attitude instruments used should be invariant by administration time. Attitudes toward statistics from 4,910…
Descriptors: Student Attitudes, College Students, Higher Education, Factor Structure
Cheung, Mike W. L. – Structural Equation Modeling, 2004
Ipsative data (individual scores subject to a constant-sum constraint), suggested to minimize response bias, are sometimes observed in behavioral sciences. Chan and Bentler (1993, 1996) proposed a method to analyze ipsative data in a single-group case. Cheung and Chan (2002) extended the method to multiple-group analysis. However, these methods…
Descriptors: Behavioral Sciences, Data Analysis, Item Response Theory, Test Items

Tomas, Jose M.; Oliver, Amparo – Structural Equation Modeling, 1999
Results of a study with 640 Spanish high school students suggest the existence of a global self-esteem factor underlying responses to Rosenberg's (M. Rosenberg, 1965) Self-Esteem Scale, although the inclusion of method effects is needed to achieve a good model fit. Method effects are associated with item wording. (SLD)
Descriptors: Factor Analysis, Factor Structure, Foreign Countries, Goodness of Fit

Pomplun, Mark; Omar, Md Hafidz – Structural Equation Modeling, 2001
Investigated the factorial invariance of scores from a seventh grade state reading assessment across general education students and selected groups of students with disabilities. Assessed the fit of a two-factor model and five levels of constraint. Results generally support the score comparability of the reading assessment, but more research is…
Descriptors: Comparative Analysis, Disabilities, Factor Analysis, Factor Structure