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      Autoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions

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      Sociological Methods & Research
      SAGE Publications

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          A New Incremental Fit Index for General Structural Equation Models

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            Asymptotically distribution-free methods for the analysis of covariance structures.

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              Latent growth curves within developmental structural equation models.

              This report uses structural equation modeling to combine traditional ideas from repeated-measures ANOVA with some traditional ideas from longitudinal factor analysis. A longitudinal model that includes correlations, variances, and means is described as a latent growth curve model (LGM). When merged with repeated-measures data, this technique permits the estimation of parameters representing both individual and group dynamics. The statistical basis of this model allows hypothesis testing of various developmental ideas, including models of alternative dynamic functions and models of the sources of individual differences in these functions. Aspects of these latent growth models are illustrated with a set of longitudinal WISC data from young children and by using the LISREL V computer program.
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                Author and article information

                Journal
                Sociological Methods & Research
                Sociological Methods & Research
                SAGE Publications
                0049-1241
                1552-8294
                June 30 2016
                June 30 2016
                : 32
                : 3
                : 336-383
                Article
                10.1177/0049124103260222
                3c6e0338-e698-4ff4-ae16-936317e8b9a7
                © 2016
                History

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