Longitudinal Data Analyses Using Linear Mixed Models in ...

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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 1Department of Applied Social Sciences and 2Public Policy Research Institute, The Hong Kong Polytechnic University, Hong Kong, ; 3Kiang Wu Nursing College of Macau, Macau, ; 4Division of Adolescent Medicine, Department of Pediatrics, University of Kentucky College of Medicine, Lexington, KY, ; 5Department 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.

SPSS. The general strategy for model building, testing, and comparison are described. Previous studies have illustrated the application of IGC using PROC MIXED in SAS[16,17,18], HLM[19], R[20], and SPSS[21]. Nevertheless, the longitudinal analysis reported in Peugh and Enders[21] was only a simple

  Spss, Longitudinal