By Terry E. Duncan
This quantity provides Latent Variable progress Curve Modeling for reading repeated measures. it truly is most probably that the majority readers have already mastered lots of LGM's underpinnings, in up to repeated measures research of variance (ANOVA) versions are particular instances of LGMs that spotlight in basic terms at the issue ability. by contrast, a completely accelerated latent progress curve research takes under consideration either issue potential and variances. LGMs also are variations of the traditional linear structural version. as well as utilizing regression coefficients and variances and covariances of the autonomous variables, they contain an average constitution into the version. The booklet beneficial properties significant themes--concepts and concerns, and applications--and is designed to use the reader's familiarity with ANOVA and conventional approaches in introducing LGM strategies and offering useful examples.
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Extra info for An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Quantitative Methodology Series)
2. 3. 3. LM tests were used to determine whether relaxing constraints between the true longitudinal design cohort and any of the other cohorts would significantly enhance model fit (see chap. 4 for more information regarding LM tests). Examination of the univariate and multivariate LM statistics between the cohort-sequential and the true longitudinal models revealed that no cross-group constraints would significantly enhance the model fit if released, a further indication of similarity in the accelerated and true longitudinal designs.
As a means of understanding human development, the single longitudinal design has many advantages over comparable cross-sectional methods. Perhaps its greatest advantage is the ability to examine the same person at different times, permitting within-individual analyses of change. Cross-sectional designs, on the other hand, allow only for the study of variations between individuals. Although desirable, true longitudinal designs present some practical problems. Given time constraints, concerns about subject attrition, and the cost of multiple assessments, researchers have long sought alternative approaches that maintain the advantages and minimize the disadvantages of the longitudinal design.
To test the adequacy of the hypothesized linear growth form and the possibility of nonlinear growth, alternative two-factor unspecified LGMs were performed.
An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, and Applications (Quantitative Methodology Series) by Terry E. Duncan