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ERIC Number: ED357035
Record Type: Non-Journal
Publication Date: 1992-Aug
Pages: 12
Abstractor: N/A
Reference Count: N/A
Latent Variable Models for Analysis of Growth. Report on Multilevel and Longitudinal Psychometric Models.
Muthen, Bengt O.; Nelson, Ginger
It has been demonstrated that the individual variation in the level and rate of learning for a cohort of students over time can be estimated by hierarchical linear models. Models of this type can also be estimated using widely available structural modeling software, which provides a flexible framework for model explorations, including the use of latent variables purged of the influence of measurement error. A growth model is developed that can also be viewed as a structural model with latent variables. As an illustration of the structural modeling approach, data from a study by G. L. Williamson and others (1991) are reanalyzed, working with the reading achievement scores of 278 females. Two figures illustrate the analysis. (SLD)
Publication Type: Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Office of Educational Research and Improvement (ED), Washington, DC.
Authoring Institution: National Center for Research on Evaluation, Standards, and Student Testing, Los Angeles, CA.