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On the Meaning of the Latent Variables in the CT-C(M-1) Model: A Comment on Maydeu-Olivares and Coffman (2006)
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Geiser, Christian; Eid, Michael; Nussbeck, Fridtjof W. – Psychological Methods, 2008
In a recent article, A. Maydeu-Olivares and D. L. Coffman (2006, see EJ751121) presented a random intercept factor approach for modeling idiosyncratic response styles in questionnaire data and compared this approach with competing confirmatory factor analysis models. Among the competing models was the CT-C(M-1) model (M. Eid, 2000). In an…
Descriptors: Factor Structure, Factor Analysis, Structural Equation Models, Questionnaires
Language Abilities, Reading Acquisition, and Developmental Dyslexia: Limitations and Alternative Views.
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Torgesen, Joseph K.; Wagner, Richard K. – Journal of Learning Disabilities, 1992
This commentary on a paper by Diane Sawyer (EC 602 748) on relations between various language skills and the development of reading ability addresses potential limitations in the implementation of structural equation modeling. The commentary concludes that the data presented by Sawyer do not support the interpretation that reading comprehension…
Descriptors: Dyslexia, Language Acquisition, Language Skills, Reading Ability
Latent Growth Curves within Developmental Structural Equation Models.
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McArdle, J. J.; Epstein, David – Child Development, 1987
Uses structural equation modeling to combine traditional ideas from repeated-measures ANOVA with some traditional ideas from longitudinal factor analysis. The model describes a latent growth curve model that permits the estimation of parameters representing individual and group dynamics. (Author/RH)
Descriptors: Analysis of Variance, Children, Cognitive Development, Comparative Analysis