2012
DOI: 10.17265/2159-5542/2012.09.007
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Hsiang-wei Ker

Abstract: Longitudinal data typically have the characteristics of changes over time, nonlinear growth patterns, between-subjects variability, and the within errors exhibiting heteroscedasticity and dependence. The data exploration is more complicated than that of cross-sectional data. The purpose of this paper is to organize/integrate various visual-graphical techniques to explore longitudinal data. From the application of the proposed methods, investigators can answer the research questions including characterizing or…

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