- Browse
Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
- Information Menu
Help
About Vancouver
- Navigation and Settings Menu
Personal Schedule
Sign In
Methodological Dilemmas Encountered in Analyses and Meta-Analyses of Single-Case Design Research
Fri, April 13, 2:15 to 3:45pm, Pan Pacific, Floor: Lobby Level, Oceanview 1&2Session Submission Type: Structured Poster Session
Abstract
The proposed symposium pulls together nine studies focused on specific facets of the methodological complexities commonly encountered in SCD research and the procedures and models used to address them. These complexities include: small sample sizes (number of measures per participant, number of participants per study and number of studies), trajectories’ non-linearity, autocorrelated residuals, and non-equivalence of variance components within- and between-participants and studies. The symposium will consist of two types of studies including: 1) demonstrations using real SCD data of differing inferences resulting from methods and procedures used to handle the relevant methodological dilemma and 2) simulation studies that evaluate parameter recovery under authentic SCD conditions. All papers will provide the relevant code needed to estimate the relevant models.
Sub Unit
Chair
Papers
Multilevel Meta-Analysis of Single-Case Study Results: A Simulation Study - Wim Van den Noortgate, Katholieke Universiteit Leuven; Mariola Moeyaert, Katholieke Universiteit Leuven; Maaike Ugille, Katholieke Universiteit Leuven; Patrick Mjl Onghena, Katholieke Universiteit Leuven
Bayesian Estimation of Nonlinear Trajectories for Multiple Baseline Design Data - Susan Natasha Beretvas, The University of Texas - Austin; Hyewon Chung, Chungnam National University
Consequences of Misspecification of Growth Trajectories When Meta-Analyzing Single-Case Data Using a Three-Level Model - Merlande Petit-Bois, University of South Florida; Eun Kyeng Baek, University of South Florida; John M. Ferron, University of South Florida
Heterogeneous Level-1 Phase Variances in a Three-Level Meta-Analysis of Single-Subject Research Data - Austin Madison Mulloy, Virginia Commonwealth University; Susan Natasha Beretvas, The University of Texas - Austin
Analyzing Multiple-Baseline Data With Heterogeneity in the Variance Structures: A Monte Carlo Simulation Study - Jennie L. Farmer, Clemson University; Corina M. Owens, Professional Testing, Inc.
Effects of Error Structure Specification on the Meta-Analysis of Single-Case Studies of Reading Fluency Interventions - Eun Kyeng Baek, University of South Florida; Merlande Petit-Bois, University of South Florida; John M. Ferron, University of South Florida
Estimating Causal Effects With Multiple-Baseline Data - John M. Ferron, University of South Florida
Effect Sizes for Single-Case Research and Meta-Analysis Involving Single-Case Studies - Patricia L. Busk, University of San Francisco; Ronald C. Serlin, University of Wisconsin - Madison