Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Annual Meeting Housing and Travel
Sign In
Session Type: Structured Poster Session
This session disseminates methodological innovations for the quantitative analysis and meta-analysis of single-case experimental design (SCED) research to applied researchers and methodologists. There is an increased interest in using SCEDs to make inferences about intervention effectiveness. Therefore, methodologists continue the development of innovative analysis techniques to further enhance the field. Quantitative analysis is intended to provide objective and parsimonious summary measures that can be used for documenting results, communication within the broader research field, and integrating the results in quantitative meta-analyses. The session will present a collection of 12 posters. The objective of the session is to enhance the methodological rigor of SCEDs and SCED meta-analyses by facilitating interaction between methodologists and between methodologists and applied SCED researchers.
Between-Case Standardized Mean Differences: Flexible Methods for Single-Case Designs (Poster 1) - Man Chen, University of Wisconsin - Madison; James E. Pustejovsky, University of Wisconsin - Madison; David Klingbeil, University of Wisconsin - Madison
Case- and Time-Specific Effect Sizes (Poster 2) - John M. Ferron, University of South Florida; Lodi Lipien, University of South Florida; Megan Kirby, University of South Florida
Clarity Before Causality: Understanding and Articulating Approaches to Single-Case Design (Poster 3) - Austin H. Johnson, University of California - Riverside; Daniel M. Swan, University of Oregon; Daniel Maggin, University of Illinois at Chicago
Empirical Investigation of the Impact of Unbalanced Moderators in Single-Case Multilevel Meta-Analysis: A Monte Carlo Simulation Study (Poster 4) - Mariola Moeyaert, University at Albany - SUNY; Panpan Yang; Marzieh Dehghan-Chaleshtori, University at Albany - SUNY; Wim Van den Noortgate, KU Leuven
Examination of Evidence for Response-Guided Methods in Data From Empirical Examples (Poster 5) - Daniel M. Swan, University of Oregon; James E. Pustejovsky, University of Wisconsin - Madison; Tasha Beretvas, University of Texas at Austin
How to Detect Change Points in Single-Case Designs: Further Results (Poster 6) - David M. Rindskopf, Graduate Center - CUNY
Innovative Approaches to Visual Methods in Mixed-Method Research in Education (Poster 7) - Wendy Machalicek, University of Oregon; John M. Ferron, University of South Florida; Tom Kratochwill; Robert H. Horner, University of Oregon; Joel R. Levin, University of Arizona
Literature Review of Justifications Provided for Single-Case Quantification Techniques (Poster 8) - Joelle Fingerhut, Marist College; Mariola Moeyaert, University at Albany - SUNY; Rumen Manolov, University of Barcelona; Xinyun Xu, University at Albany - SUNY
Methodological Characteristics of Hybrid Single-Case Experiments Published Between 2016 and 2020: A Systematic Review (Poster 9) - Rene Tanious, KU Leuven; Patrick Onghena, KU Leuven
Multilevel Modeling in Single-Case Studies With Zero-Inflated Count Data (Poster 10) - Haoran Li, University of Minnesota; Wen Luo, Texas A&M University; Eunkyeng Baek, Texas A&M University; Christopher G. Thompson, Texas A&M University; Kwok Hap Lam, Texas A&M University
Standard Errors for the Percent of Goal Obtained (Poster 11) - Ella Patrona; John M. Ferron, University of South Florida; Howard Goldstein, University of South Florida
Synthesis of Nonoverlap of All Pairs Using Binomial Family Generalized Linear Mixed Models (Poster 12) - James E. Pustejovsky, University of Wisconsin - Madison; Man Chen, University of Wisconsin - Madison