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
X (Twitter)
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.
Innovative Approaches to Visual Methods in Mixed-Method Research in Education - Wendy Machalicek, University of Oregon; John M. Ferron, University of South Florida; Tom Kratochwill; Robert H. Horner, University of Oregon; Joel R. Levin, The University of Arizona
Case- and Time-Specific Effect Sizes - John M. Ferron, University of South Florida; Lodi Lipien, University of South Florida; Megan Kirby
How to Detect Change Points in Single-Case Designs: Further Results - David M. Rindskopf, City University of New York - CUNY
Between-Case Standardized Mean Differences: Flexible Methods for Single-Case Designs - Man Chen, University of Wisconsin - Madison; James Eric Pustejovsky, University of Wisconsin - Madison; David Klimgbeil
Standard Errors for the Percent of Goal Obtained - Ella Patrona; John M. Ferron, University of South Florida; Howard Goldstein, University of South Florida
Clarity Before Causality: Understanding and Articulating Approaches to SCD - Austin H. Johnson, University of California - Riverside; Daniel Swan, University of Oregon; Maggin Daniel, University of Illinois at Chicago
Synthesis of Non-Overlap of All Pairs Using Binomial Family Generalized Linear Mixed Models - James Eric Pustejovsky, University of Wisconsin - Madison; Man Chen, University of Wisconsin - Madison
Multilevel Modeling in Single-Case Studies With Zero-Inflated Count Data - Haoran Li, Texas A&M University - College Station; Wen Luo, Texas A&M University - College Station; Eunkyeng Baek, Texas A&M University - College Station; Christopher G. Thompson, Texas A&M University - College Station; Kwok Hap Lam, Texas A&M University - College Station
Empirical Investigation of the Impact of Unbalanced Moderators in Single-Case Multilevel Meta-Analysis: A Monte Carlo Simulation Study - Mariola Moeyaert, University at Albany - SUNY; Panpan Yang; Marzieh Dehghan-Chaleshtori, University at Albany - SUNY; Wim Van den Noortgate, KU Leuven
Methodological Characteristics of Hybrid Single-Case Experiments Published Between 2016 and 2020: A Systematic Review - Rene Tanious, KU Leuven; Patrick Onghena, KU Leuven
Examination of Evidence for Response-Guided Methods in Data From Empirical Examples - Daniel Swan, University of Oregon; James Eric Pustejovsky, University of Wisconsin - Madison; Tasha Beretvas, The University of Texas at Austin
Literature Review of Justifications Provided for Single-Case Quantification Techniques - Joelle Fingerhut, Rutgers University; Mariola Moeyaert, University at Albany - SUNY; Rumen Manolov, University of Barcelona; Xinyun Xu, University at Albany-State University of New York