LGCM and PLS-SEM in Panel Survey Data: A Systematic Review and Bibliometric Analysis

The application of Latent Growth Curve Model (LGCM) and Partial Least Square Structural Equation Modeling (PLS-SEM) has gained much attention in panel survey studies. This study explores the distributions trends LGCM, PLS-SEM used data. It highlights gaps current existing approaches practiced by researchers analyzing integrated bibliometric analysis systematic review were employed this study. Based on reviewed articles, LGCM showed an increasing trend publication Though popularity was more outstanding than for data, several limitations such as statistical assumptions, reliable sample size, number repeated measures, missing identified five different data namely pre- post-approach with constructs, a path comparison approach, cross-lagged same evaluation approach researchers. None previous can establish one structural model to represent whole changes measure. Thus, findings paper could help choose appropriate