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Choi, Kilchan; Seltzer, Michael – Journal of Educational and Behavioral Statistics, 2010
In studies of change in education and numerous other fields, interest often centers on how differences in the status of individuals at the start of a period of substantive interest relate to differences in subsequent change. In this article, the authors present a fully Bayesian approach to estimating three-level Hierarchical Models in which latent…
Descriptors: Simulation, Computation, Models, Bayesian Statistics
Peer reviewedThum, Yeow Meng; Bhattacharya, Suman K. – Journal of Educational and Behavioral Statistics, 2001
Developed and illustrated an analysis for detecting changes in multiple time series for a multilevel setting. Shows how the approach can be used to evaluate intervention effects associated with a treatment to which the lengths of delay in the response may be unique to each treated unit. The approach does not assume a known change point. (SLD)
Descriptors: Academic Achievement, Bayesian Statistics, Change, Evaluation Methods
Dagne, Getachew A.; Brown, C. Hendricks; Howe, George W. – Journal of Educational and Behavioral Statistics, 2003
Intervention studies often rely on microcoded data of social interactions to provide evidence of change due to development or treatment. Traditionally these data have been collapsed into small contingency tables. Such an approach can introduce spurious findings. Instead of treating each unit's contingency table independently, or collapsing the…
Descriptors: Statistical Analysis, Bayesian Statistics, Intervention, Unemployment

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