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Direct linkLee, Kejin; Whittaker, Tiffany Ann – AERA Online Paper Repository, 2017
The latent growth model (LGM) in structural equation modeling (SEM) may be extended to allow for the modeling of associations among multiple latent growth trajectories, resulting in a multiple domain latent growth model (MDLGM). While the MDLGM is conceived as a more powerful multivariate analysis technique, the examination of its methodological…
Descriptors: Statistical Analysis, Growth Models, Structural Equation Models, Multivariate Analysis
Li, Chen; Jiao, Hong – AERA Online Paper Repository, 2016
Growth modeling has been of interest in many assessment programs, including both highstakes and low-states tests. Growth could be modeled using different approaches. This study models growth with an Item Response Theory (IRT) based approach that utilizes item response data. It investigates the impact of complex student clustering structure where…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Growth Models, Multivariate Analysis
Reeger, Adam; Gaasedelen, Owen; Welch, Catherine; Dunbar, Stephen – AERA Online Paper Repository, 2016
Student Growth Percentiles (SGPs) are increasingly being used in evaluations of teacher effectiveness. This study investigates two properties of SGPs: 1) SGP sensitivity to reference group characteristics such as sample size, free and reduced lunch (FRL) status, and English language learner (ELL) status; and 2) variation in score changes across…
Descriptors: Teacher Effectiveness, Teacher Evaluation, Accountability, Sample Size
