Longitudinal Data Analyses Using Linear Mixed Models in ...

Research Article TheScientificWorldJOURNAL (2011) 11, 42 76 TSW Child Health & Human Development ISSN 1537-744X; DOI *Corresponding author. 2011 with author. Published by TheScientificWorld; 42 Longitudinal data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations Daniel Shek1,2,3,4,5,* and Cecilia Ma1 1 Department of Applied Social Sciences and 2 Public Policy Research Institute, The Hong Kong Polytechnic University, Hong Kong, ; 3 Kiang Wu Nursing College of Macau, Macau, ; 4 Division of Adolescent Medicine, Department of Pediatrics, University of Kentucky College of Medicine, Lexington, KY, ; 5 Department of Sociology, East China Normal University, Shanghai, E-mail: Received September 27, 2010; Revised October 18, 2010; Accepted October 18, 2010; Published January 5, 2011 Although different methods are available for the Analyses of Longitudinal data , Analyses based on generalized Linear Models (GLM) are criticized as violating the assumption of independence of observations.

researchers used generalized linear models (GLM), such as analysis of variance (ANOVA) and analysis of covariance (ANCOVA), to examine changes in behavior across time. However, these methods would only estimate the model accurately in a balanced, repeated-measures design (e.g., equal group sizes).

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  Analysis, Using, Data, Measure, Repeated, Longitudinal, Longitudinal data

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