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Direct linkAydin, Orhan; Tanious, René – Journal of Applied Behavior Analysis, 2022
Visual analysis and nonoverlap-based effect sizes are predominantly used in analyzing single case experimental designs (SCEDs). Although they are popular analytical methods for SCEDs, they have certain limitations. In this study, a new effect size calculation model for SCEDs, named performance criteria-based effect size (PCES), is proposed…
Descriptors: Evaluation Criteria, Effect Size, Research Design, Data Analysis
Kranak, Michael P.; Mitteer, Daniel R. – Journal of Applied Behavior Analysis, 2022
This Concise Review is an appraisal of contemporary research on teaching single-case experimental design (SCED) graphical creation published between 2017-2021. Recent work on SCED graphical creation is summarized and areas for future research are highlighted.
Descriptors: Research Design, Graphs, Data Interpretation, Teaching Methods
Hagopian, Louis P. – Journal of Applied Behavior Analysis, 2020
Single-case experimental designs (SCEDs) have proven invaluable in research and practice because they are optimal for asking many experimental questions relevant to the analysis of behavior. The consecutive controlled case series (CCCS) is a type of study in which a SCED is employed in a series of consecutively encountered cases that undergo a…
Descriptors: Case Studies, Data Analysis, Behavior Patterns, Clinical Diagnosis
Dowdy, Art; Tincani, Matt; Schneider, W. Joel – Journal of Applied Behavior Analysis, 2020
Publication bias is the disproportionate representation of studies with large effects and statistically significant findings in the published research literature. If publication bias occurs in single-case research design studies on applied behavior-analytic (ABA) interventions, it can result in inflated estimates of ABA intervention effects. We…
Descriptors: Bias, Publications, Effect Size, Research Design
