Building Latent Growth Models Using PROC CALIS: A Structural Equation Modeling Approach

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This paper illustrates the structural equation modeling approach of building Latent Growth Models (LGMs) using PROC CALIS. In the past decade, LGM has become one of the commonly used statistical models for analyzing longitudinal data analysis. Although recent years have seen the increase use of LGM to carry out research work in longitudinal analysis, there is limited work that has spelled out a systematic procedure of using PROC CALIS in modeling LGM. This paper serves to fill the gap for data analysts and researchers by showing the practical aspects and theoretical concerns of applying this modeling technique.