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Analyzing Clustered Longitudinal Data Using Latent Curve Model With Structured Residuals (Lcm-Sr), Dongho Choi

College of Education and Human Sciences: Dissertations, Theses, and Student Research

The LCM-SR can provide an inferential basis for understanding reciprocal relations while controlling for individual differences in the trajectories of young children’s psychological development. Yet, a hierarchical structure in the data has not been often adequately addressed even though that is common in social and educational research. The purpose of this study is to explore the impact of dependency among observations on the results when using the LCM-SR, and how to appropriately analyze the clustered longitudinal data for more accurate inference. To do this, the MLCM-SR (disaggregated approach; the “two-level” model) was introduced and compared with the single level LCM-SR …