Quality and Quantity

, Volume 39, Issue 6, pp 711–732 | Cite as

Application of Multilevel Models to Structured Repeated Measurements

  • Bernet Sekasanvu Kato
  • Herbert Hoijtink
  • Cara Verdellen
  • Muriel Hagenaars
  • Agnes Van Minnen
  • Ger Keijsers
Article

Abstract

The linear mixed-effects model has been widely used for the analysis of continuous longitudinal data. This paper demonstrates that the linear mixed model can be adapted and used for the analysis of structured repeated measurements. A computational advantage of the proposed methodology is that there is no extra burden on the analyst since any software for linear mixed-effects models can be used to fit the proposed models. Two data sets from clinical psychology are used as motivating examples and to illustrate the methods.

Keywords

Gilles de La Tourette’s syndrome data multilevel model linear mixed model longitudinal data speech data structured repeated measurements 

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Copyright information

© Springer 2005

Authors and Affiliations

  • Bernet Sekasanvu Kato
    • 1
  • Herbert Hoijtink
    • 1
  • Cara Verdellen
    • 2
  • Muriel Hagenaars
    • 2
  • Agnes Van Minnen
    • 2
  • Ger Keijsers
    • 2
  1. 1.Department of Methodology and StatisticsUniversity of UtrechtUtrechtThe Netherlands
  2. 2.Department of Clinical PsychologyNijmegen UniversityThe Netherlands

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