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Design-Comparable Effect Sizes in Multiple Baseline Designs: A General Modeling Framework
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Pustejovsky, James E.; Hedges, Larry V.; Shadish, William R. – Journal of Educational and Behavioral Statistics, 2014
In single-case research, the multiple baseline design is a widely used approach for evaluating the effects of interventions on individuals. Multiple baseline designs involve repeated measurement of outcomes over time and the controlled introduction of a treatment at different times for different individuals. This article outlines a general…
Descriptors: Hierarchical Linear Modeling, Effect Size, Maximum Likelihood Statistics, Computation
A Simple Effect Size Estimator for Single Case Designs Using WinBUGS
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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
The Variance of Intraclass Correlations in Three- and Four-Level Models
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Hedges, Larry V.; Hedberg, E. C.; Kuyper, Arend M. – Educational and Psychological Measurement, 2012
Intraclass correlations are used to summarize the variance decomposition in populations with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large…
Descriptors: Correlation, Computation, Hierarchical Linear Modeling, Reading Achievement
The Variance of Intraclass Correlations in Three and Four Level
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Hedges, Larry V.; Hedberg, Eric C.; Kuyper, Arend M. – Grantee Submission, 2012
Intraclass correlations are used to summarize the variance decomposition in popula- tions with multilevel hierarchical structure. There has recently been considerable interest in estimating intraclass correlations from surveys or designed experiments to provide design parameters for planning future large-scale randomized experiments. The large…
Descriptors: Correlation, Hierarchical Linear Modeling, Computation, Sampling