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Jeon, Minjeong; Rabe-Hesketh, Sophia – Journal of Educational and Behavioral Statistics, 2012
In this article, the authors suggest a profile-likelihood approach for estimating complex models by maximum likelihood (ML) using standard software and minimal programming. The method works whenever setting some of the parameters of the model to known constants turns the model into a standard model. An important class of models that can be…
Descriptors: Maximum Likelihood Statistics, Computation, Models, Factor Structure
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Rensvold, Rover B.; Cheung, Gordon W. – Educational and Psychological Measurement, 1998
Summarizes the problem of factorial invariance in between-group difference studies, proposes a simplified notation intended to facilitate discussion of the problem, and suggests a structured approach for testing large models. Two computer programs are offered to help with the computation. (SLD)
Descriptors: Computer Software, Factor Structure, Models
Byrne, Barbara M. – 1994
Working from a common data base and hypothesized model, this paper demonstrates and compares the EQS and LISREL computer program strategies in the analysis of a second-order factor model. Program similarities and differences are noted with respect to: (1) preliminary analyses of the data; (2) treatment of data that are not multivariately normal;…
Descriptors: Adolescents, Comparative Analysis, Computer Oriented Programs, Computer Software