Longitudinal Structural Equation Modeling

  • Longitudinal Structural Equation Modeling
    By Todd D. Little

    ... Weak Factorial Invariance Metric Invariance Loading Invariance Strong Factorial Invariance Scalar Invariance Intercept Invariance Strict Factorial Invariance Error Variance Invariance Residual Invariance Horn & McArdle, 1992 Horn, ...

  • Longitudinal Structural Equation Modeling: A Comprehensive Introduction
    By Jason T. Newsom

    ... McDonald«s Centrality Index (Mc; McDonald, 1989) was minimally affected by model size when comparing means. The difference in fit between the two models, ĵMc, can then be calculated by subtracting the Mc for M0 from the Mc for M1.

  • Longitudinal Structural Equation Modeling: A Comprehensive Introduction
    By Jason T. Newsom

    Three exceptions provide detailed discussions of mediation for longitudinal data (Cole & Maxwell, 1993; MacKinnon, 2008; Roth & MacKinnon, 2012). The least technical introductions to Oud's recent developments of continuous time analyses ...

  • Longitudinal Structural Equation Modeling
    By Todd D. Little

    Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study.

  • Longitudinal Structural Equation Modeling: A Comprehensive Introduction
    By Jason T. Newsom

    This accessibly written book explores a range of models, from basic to sophisticated, including the statistical and conceptual underpinnings that are the building blocks of the analyses.

  • Longitudinal Structural Equation Modeling
    By Todd D. Little

    ... Modeling complex interactions: Person- centered and variable- centered approaches. In T. D. Little, J. A. Bovaird, & N. A. Card (Eds.), Modeling contextual effects in longitudinal studies (pp. 255–284). Erlbaum. Bell, R. Q. (1953) ...