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Rindskopf, David; Shadish, William; Hedges, Larry V. – Online Submission, 2012
This conference presentation demonstrates a multilevel model for analyzing single case designs. The model is implemented in the Bayesian program WinBUGS. The authors show how it is possible to estimate a d-statistic like the one in Hedges, Pustejovsky and Shadish (2012) in this program. Results are demonstrated on an example.
Descriptors: Effect Size, Computation, Hierarchical Linear Modeling, Research Design
Rindskopf, David; Shadish, William; Hedges, Larry – Society for Research on Educational Effectiveness, 2012
Data from single case designs (SCDs) have traditionally been analyzed by visual inspection rather than statistical models. As a consequence, effect sizes have been of little interest. Lately, some effect-size estimators have been proposed, but most are either (i) nonparametric, and/or (ii) based on an analogy incompatible with effect sizes from…
Descriptors: Intervention, Effect Size, Bayesian Statistics, Research Design
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Pullenayegum, Eleanor M.; Guo, Qing; Hopkins, Robert B. – Journal of Statistics Education, 2012
Graduate students in the health sciences who hope to become independent researchers must be able to write up their results at a standard suitable for submission to peer-reviewed journals. Bayesian analyses are still rare in the medical literature, and students are often unclear on what should be included in a manuscript. Whilst there are published…
Descriptors: Bayesian Statistics, Critical Thinking, Graduate Students, Health Sciences