ERIC Number: EJ1035332
Record Type: Journal
Publication Date: 2014
Abstractor: As Provided
Reference Count: 51
Using Design-Based Latent Growth Curve Modeling with Cluster-Level Predictor to Address Dependency
Wu, Jiun-Yu; Kwok, Oi-Man; Willson, Victor L.
Journal of Experimental Education, v82 n4 p431-454 2014
The authors compared the effects of using the true Multilevel Latent Growth Curve Model (MLGCM) with single-level regular and design-based Latent Growth Curve Models (LGCM) with or without the higher-level predictor on various criterion variables for multilevel longitudinal data. They found that random effect estimates were biased when the higher-level predictor was not included and that standard errors of the regression coefficients from the higher-level were underestimated when a regular LGCM was used. Nevertheless, random effect estimates, regression coefficients, and standard error estimates were consistent with those from the true MLGCM when the design-based LGCM included the higher-level predictor. They discussed implication for the study with empirical data illustration.
Descriptors: Longitudinal Studies, Hierarchical Linear Modeling, Prediction, Regression (Statistics), Monte Carlo Methods, Research Design, Data Analysis, Sample Size
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A