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| Structural Equation Modeling | 3 |
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Peer reviewedMarsh, Herbert W.; Jackson, Susan A. – Structural Equation Modeling, 1999
Studied the construct validity of state and trait-flow responses and demonstrated confirmatory factor analysis (CFA) models useful for this study with a sample of 385 athletes. There was good support for the construct validity of Flow State Scale (S. Jackson and H. Marsh, 1996) responses, and the CFA approach appears useful. (SLD)
Descriptors: Athletes, Construct Validity, Models, Responses
Peer reviewedSmith, Richard M. – Structural Equation Modeling, 1996
The Rasch item fit approach for detecting multidimensionality in response data is compared with principal component analysis without rotation using simulated data. Results indicate that both approaches work in a variety of multidimensional data structures, but the Rasch item fit is better under some circumstances, as discussed. (SLD)
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Goodness of Fit
Peer reviewedCheung, Mike W. -L.; Chan, Wai – Structural Equation Modeling, 2002
Defines a mathematical model of uniform response bias (URB) and proposes ipsative measures to minimize the effect of URB in multigroup confirmatory factor analysis. Illustrates the method using real data from the Chinese Personality Assessment Inventory for 2 groups of sample sizes 793 and 792 adults. (SLD)
Descriptors: Adults, Foreign Countries, Mathematical Models, Personality Assessment
