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Shadish, William R.; Rindskopf, David M.; Hedges, Larry V.; Sullivan, Kristynn J. – Online Submission, 2012
Researchers in the single-case design tradition have debated the size and importance of the observed autocorrelations in those designs. All of the past estimates of the autocorrelation in that literature have taken the observed autocorrelation estimates as the data to be used in the debate. However, estimates of the autocorrelation are subject to…
Descriptors: Bayesian Statistics, Research Design, Correlation, Computation
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
Arenson, Ethan A. – Online Submission, 2009
One of the problems inherent in variance component estimation centers around inadmissible estimates. Such estimates occur when there is more variability within groups, relative to between groups. This paper suggests a Bayesian approach to resolve inadmissibility by placing noninformative inverse-gamma priors on the variance components, and…
Descriptors: Computation, Bayesian Statistics, Statistical Analysis, Bias
Culum, Bojana; Forcic, Gordana – Online Submission, 2008
Volunteering is one of the strongest elements of shaping democratic change within the society. It is also an essential element in citizenship development and in re-establishing a sense of community. Volunteering empowers individuals, builds solidarity, encourages participation and protects vulnerable groups against social and economic…
Descriptors: Measures (Individuals), Foreign Countries, Social Values, Statistical Analysis


