Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/15932
Title: Application of SPSS linear mixed methods to adolescent development research : basic concepts and steps
Authors: Shek, DTL 
Ma, CMS 
Keywords: Human development
Individual growth curve modeling
Linear mixed methods
SPSS
Issue Date: 2014
Publisher: Walter de Gruyter GmbH
Source: International journal on disability and human development, 2014, v. 13, no. 2, p. 169-182 How to cite?
Journal: International journal on disability and human development 
Abstract: In the context of intervention research, it is always important to ask whether the growth of the participants in the intervention group is superior to that of the control group participants. Although this question can be answered by analyses based on traditional generalized linear models, there are many problems associated with such analyses. Alternatively, individual growth curve (IGC) modeling analyses based on linear mixed methods (LMM) are proposed. Although LMM are available in generic computer software, such as SPSS, there is a paucity of user-friendly manuals and illustrations. To help researchers utilize SPSS in creating IGC models, we present in this paper the basic concepts of IGC modeling and of the process of using SPSS to conduct IGC.
URI: http://hdl.handle.net/10397/15932
ISSN: 2191-1231
EISSN: 2191-0367
DOI: 10.1515/ijdhd-2014-0303
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