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Recent Developments on Structural Equation Models pp 241–261Cite as

Methodological Issues in the Application of the Latent Growth Curve Model

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Part of the book series: Mathematical Modelling: Theory and Applications ((MMTA,volume 19))

Abstract

Latent growth curve analysis (McArdle, 1986, 1988; Meredith & Tisak, 1990; Willett & Sayer, 1994) is well suited to analyze systematic change in longitudinal data collected from a panel design. It represents outcome variables explicitly as a function of time and other measures. Specifically, latent growth curve analysis is a Statistical technique to estimate the Parameters that represent the growth curves that are assumed to have given rise to the structure of the repeatedly measured outcome variable over time. Growth curve analysis can be applied just to get a (unconditional) description of the mean growth over a certain period of time. However, the emphasis of this technique lies in explanation of differences between subjects in the parameters describing the growth curves; in other words, in the systematic inter-individual differences in intra-individual change.

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Author information

Authors and Affiliations

  1. Department of Education, University of Amsterdam, Amsterdam, The Netherlands

    Reinoud D. Stoel & Godfried van den Wittenboer

  2. Department of Methodology and Statistics, University of Utrecht, Utrecht, The Netherlands

    Joop Hox

Authors
  1. Reinoud D. Stoel
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  2. Godfried van den Wittenboer
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  3. Joop Hox
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Editor information

Editors and Affiliations

  1. Free University Amsterdam, Amsterdam, The Netherlands

    Kees van Montfort

  2. University of Nijmegen, Nijmegen, The Netherlands

    Johan Oud

  3. Universitat Pompeu Fabra, Barcelona, Spain

    Albert Satorra

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Stoel, R.D., van den Wittenboer, G., Hox, J. (2004). Methodological Issues in the Application of the Latent Growth Curve Model. In: van Montfort, K., Oud, J., Satorra, A. (eds) Recent Developments on Structural Equation Models. Mathematical Modelling: Theory and Applications, vol 19. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-1958-6_13

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  • DOI: https://doi.org/10.1007/978-1-4020-1958-6_13

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6549-0

  • Online ISBN: 978-1-4020-1958-6

  • eBook Packages: Springer Book Archive

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