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Direct linkLubke, Gitta H.; Muthen, Bengt O. – Structural Equation Modeling, 2004
Treating Likert rating scale data as continuous outcomes in confirmatory factor analysis violates the assumption of multivariate normality. Given certain requirements pertaining to the number of categories, skewness, size of the factor loadings, and so forth, it seems nevertheless possible to recover true parameter values if the data stem from a…
Descriptors: Likert Scales, Factor Analysis, Factor Structure, Multivariate Analysis
Peer reviewedRaines-Eudy, Ruth – Structural Equation Modeling, 2000
Demonstrates empirically a structural equation modeling technique for group comparison of reliability and validity. Data, which are from a study of 495 mothers' attitudes toward pregnancy, have a one-factor measurement model and three sets of subpopulation comparisons. (SLD)
Descriptors: Factor Analysis, Factor Structure, Mothers, Parent Attitudes
Peer reviewedThompson, Bruce; Cook, Colleen; Heath, Fred – Structural Equation Modeling, 2003
Used confirmatory factor analysis to evaluate the score integrity of LibQUALl+, an instrument to measure perceptions of library service quality. Results for 60,027 graduate and undergraduate students suggest that the model implied by LibQUAL is reasonable and invariant across independent samples and fits all three major subgroups of library users.…
Descriptors: College Students, Evaluation Methods, Factor Structure, Higher Education
Peer reviewedPomplun, 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
