Division D - Measurement and Research Methodologies / Division D - Section 2: Quantitative Methods and Statistical Theory

James Eric Pustejovsky, The University of Texas - Austin

1. Multiple-Hypothesis Testing in Single-Case Experimental Designs - Oliver Wendt, Purdue University; Bridget Miller, Purdue University

2. The Impact of Between-Case Variation in Level 1 Error Structure on Multilevel Models for Single-Case Experimental Designs: A Monte Carlo Study - Eun Kyeng Baek, University of South Florida; John M. Ferron, University of South Florida

3. A Comparison of Non-Regression-Based Effect Size Metrics for Single-Case Experimental Designs - Oliver Wendt, Purdue University; Anya S. Evmenova, George Mason University

4. Effects of Measurement Operations on the Magnitude of Nonoverlap Effect Sizes for Single-Case Experimental Designs - James Eric Pustejovsky, The University of Texas - Austin

5. Type I Error and Power of Hierarchical Linear Models Versus Additive Combination of Randomization Tests for Intervention Effects in Single-Case Experiments: A Monte Carlo Simulation Study - Mieke Heyvaert, Katholieke Universiteit Leuven; Mariola Moeyaert, University at Albany; Maaike Ugille, K.U. Leuven; Wim Van den Noortgate, Katholieke Universiteit Leuven; Patrick Onghena, KU Leuven

6. Statistical Analysis and Effect Size Estimation for Single-Case Experimental Designs - Hariharan Swaminathan, University of Connecticut; Jane Rogers, University of Connecticut

7. Straightforward Techniques for Assessing Functional Relations and Quantifying the Magnitude of Effect in Single-Case Experimental Design: Are They Good Enough? - Rumen Manolov, University of Barcelona; Antonio Solanas, University of Barcelona

8. Using Multilevel Modeling to Analyze Multiple Baseline Data With Heterogeneity in Variance Structures: A Monte Carlo Simulation Study - Jennie L. Farmer, Clemson University; Corina M. Owens, Professional Testing, Inc.

9. The Consequences of the Misspecification of the Level 1 Error Structure When Meta-Analyzing Single-Case Designs Using a Three-Level Model - Merlande Petit-Bois, Pinellas County Schools

10. Misspecification Issues in Multilevel Modeling of Single-Case Experimental Designs: Empirical Illustrations - Mariola Moeyaert, University at Albany; Maaike Ugille, K.U. Leuven; Patrick Onghena, KU Leuven; Mieke Heyvaert, Katholieke Universiteit Leuven; Wim Van den Noortgate, Katholieke Universiteit Leuven

11. Meta-Analyses With Few Studies - David M. Rindskopf, City University of New York

John M. Ferron, University of South Florida