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Direct linkLi, 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
