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Lyu, Weicong; Kim, Jee-Seon; Suk, Youmi – Journal of Educational and Behavioral Statistics, 2023
This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…
Descriptors: Hierarchical Linear Modeling, Bayesian Statistics, Causal Models, Statistical Inference
Murr, Natalie Simona – ProQuest LLC, 2015
The passing of the Education of the Handicapped Act (EHA) of 1970, as well as subsequent education policy, including the Individuals with Disabilities Education Act (2004), have been pivotal to ensuring that both the civil and educational rights of students with disabilities continue to be promoted and protected within educational settings. In…
Descriptors: Special Education, Classification, Statistical Analysis, Hierarchical Linear Modeling
Stuit, David; Austin, Megan J.; Berends, Mark; Gerdeman, R. Dean – Regional Educational Laboratory Midwest, 2014
Recent changes to state laws on accountability have prompted school districts to design teacher performance evaluation systems that incorporate student achievement (student growth) as a major component. As a consequence, some states and districts are considering teacher value-added models as part of teacher performance evaluations. Value-added…
Descriptors: Norm Referenced Tests, Criterion Referenced Tests, Teacher Effectiveness, Reading Achievement