Browsing by Author "Willson, Victor L."

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Using Design-Based Latent Growth Curve Modeling With Cluster-Level Predictor to Address Dependency
(2014)
Wu, Jiun-Yu
;
Kwok, Oi-Man
;
Willson, Victor L.
;
教育研究所
;
Institute of Education
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.