Chapter: Analysis of repeated measures designs with linear mixed models

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Home > Modeling intraindividual variability with repeated measures data: methods and applications > Analysis of repeated measures designs with linear mixed models

Modeling intraindividual variability with repeated measures data: methods and applications |

Scott L. Hershberger

L. Erlbaum Associates

Modeling intraindividual variability with repeated measures data: methods and applications

Analysis of repeated measures designs with linear mixed models

Chapter Info

Authors

Dennis Wallace; Samuel B. Green

ARI Id

1671098873749_27804514

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Open/Free Access

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Chapters/Headings	Author(s)	Pages	Info
Traditional methods for estimating multilevel models	David A. Kenny; Nial Bolger; Deborah A. Kashy
Alternative covariance structures for polynomial models of individual growth and change	Stephen W. Raudenbush
Structural equation modeling of repeated measures data: latent curve analysis	Patrick J. Curran; Andrea M. Hussong
Multilevel modeling of longitudinal and functional data	J.O. Ramsay
Analysis of repeated measures designs with linear mixed models	Dennis Wallace; Samuel B. Green
Fitting individual growth models using SAS PROC MIXED	Judith D. Singer
Multilevel modeling of longitudinal and functional data	Terry E. Duncan
Times series regressions	Steven Hillmer
Dynamic factor analysis models for representing process in multivariate time-series	John R. Nesselroade
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