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| Interactive Workgroups: A Framework for the Analysis of Single-Case Results: Visual Analysis and Type I Error Control |
| Saturday, September 27, 2025 |
| 9:45 AM–10:35 AM |
| Embassy Suites Minneapolis; Plymouth Ballroom AB |
| Area: SCI; Domain: Theory |
| CE Instructor: John Ferron, Ph.D. |
| KATIE WOLFE (University of South Carolina), JOHN FERRON (University of South Florida) |
| Description: This session explores a comprehensive approach to analyzing single-case research by integrating visual analysis with strategies to control Type I error. The first presentation will examine the central role of visual analysis in single-case design, highlighting its flexibility, common applications, and both strengths and limitations. The second presentation will address how to mitigate the risk of drawing incorrect conclusions due to Type I error, outlining analytic methods that complement visual inspection and help ensure valid inferences. Together, these presentations aim to strengthen researchers’ ability to interpret single-case data with greater rigor and confidence by balancing clinical judgment with methodological safeguards. |
| Learning Objectives: 1. Attendees will be able to identify different analytic purposes that can be accomplished through visual analysis. | 2. Attendees will be able to identify strengths and weaknesses of visual analysis. | 3. Attendees will be able to identify the strengths and weaknesses of different approaches to controlling Type I errors. | 4. Attendees will be able to select an approach to controlling Type I errors that complements their visual analysis and that is consistent with their design and data. |
| Activities: The audience will break into small groups for interactive discussions and applied activities related to Drs. Wolfe & Ferron's symposium. |
| Audience: Single-case researchers, reviewers, editors, and those who teach single-case designs |
| Content Area: Methodology |
| Instruction Level: Advanced |
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| Interactive Workgroups: A Framework for the Analysis of Single-Case Results: Statistical Modeling and Quantification Techniques |
| Saturday, September 27, 2025 |
| 1:35 PM–2:25 PM |
| Embassy Suites Minneapolis; Plymouth Ballroom AB |
| Area: SCI; Domain: Theory |
| CE Instructor: John Falligant, Ph.D. |
| JOHN FALLIGANT (Auburn University), MARIOLA MOEYAERT (University at Albany) |
| Description: This session presents two complementary approaches to advancing the analysis of single-case data through quantitative models and statistical techniques. The first presentation explores theoretical frameworks (Shull’s bout-analytic model and response disequilibrium theory) that reconceptualize behavior and reinforcement in terms of temporally extended patterns. These models offer new analytic tools for understanding response organization and treatment effects, with strong potential for translational research. The second presentation addresses the quantification of intervention effects in single-case experimental designs (SCDs), focusing on selecting and interpreting appropriate effect size measures. Attendees will be introduced to classes of statistical techniques, including non-overlap, regression-based, and mean-based metrics, and guided through effect size calculation using an intuitive R Shiny application. Together, these talks offer a practical and conceptual foundation for improving the precision, utility, and interpretability of single-case research outcomes. |
| Learning Objectives: 0. Attendees will be able to identify different analytical purposes that can be accomplished by statistical modeling. | 0. Attendees will be able to select a statistical modeling technique that is consistent with their analytic purpose. | 0. Attendees will be able to identify the strengths and weaknesses of different approaches to quantify intervention effectiveness. | 0. Attendees will be able to select an approach to estimating intervention effectiveness that complements their visual analysis and that is consistent with their design and data. | 0. Attendees will be able to interpret and report the results of the quantitative analysis. | 0. Attendees will be able to select appropriate quantitative techniques for assessing the temporal dynamics of behavior. | 0. Attendees will be able to interpret graphical and statistical representations of temporal dynamics in behavior, including time-series data, and communicate their implications for research and/or practice. |
| Activities: The audience will break into small groups for interactive discussions and applied activities related to Drs. Falligant & Moeyaert's symposium. |
| Audience: Single-case researchers, reviewers, editors, and those who teach single-case designs |
| Content Area: Theory |
| Instruction Level: Advanced |
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| Interactive Workgroups: Complete Reporting of Methods and Results in Single-Case Published Reports |
| Saturday, September 27, 2025 |
| 3:40 PM–4:30 PM |
| Embassy Suites Minneapolis; Plymouth Ballroom AB |
| Area: SCI; Domain: Theory |
| CE Instructor: Wendy A. Machalicek, Ph.D. |
| WENDY A. MACHALICEK (University of Oregon), KIMBERLY VANNEST (University of Vermont), ANNA INGEBORG PETURSDOTTIR (University of Nevada, Reno) |
| Description: The accumulation of evidence to inform intervention practices requires both methodologically rigorous experimental designs and detailed reporting in published reports. Quality of reporting serves as a proxy for methodological quality including those aspects which we are unable to observe after the experiment concludes. In single-case research, as in other research traditions, researchers sometimes (or often) omit essential methodological details from published reports that researchers need to ascertain methodological quality. This session focuses on topics pertinent to the complete reporting (and not cherry picking) of methods and results in single-case intervention studies. First, we will present an overview of the rationale for enhanced methods and results reporting practices and existing reporting practices within single-case research (Machalicek). Second, we will present data related to statistical conclusion validity in the adapted alternating treatments design, discuss the importance of replicating differences between conditions to decrease the probability of Type I error, and provide recommendations for reporting replications (Petursdottir). Finally, we will present recommendations for the improved articulation of design, visual and statistical analysis decisions in published single-case reports (Vannest). Participants of this session will provide input to inform our collective understanding of the feasibility, acceptability, and potentially effects of our recommendations. |
| Learning Objectives: 1. state the rationale for enhanced methods and results reporting practices within single-case intervention research. | 2. explain the contribution of replication within the adapted alternating treatments design to statistical conclusion validity. | 3. list three recommendations for the improved articulation of design, visual and statistical analysis decisions. |
| Activities: The audience will break into small groups for interactive discussions and applied activities related to Drs. Machalicek, Vannest, and Ingeborg Petursdottir's presentation. |
| Audience: Single-case researchers, reviewers, editors, and those who teach single-case designs |
| Content Area: Methodology |
| Instruction Level: Advanced |
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| Interactive Workgroups: SCD+: Utilizing a Mixed Methods Approach to Enhance the Understanding of Single Case Findings |
| Saturday, September 27, 2025 |
| 5:40 PM–6:30 PM |
| Embassy Suites Minneapolis; Plymouth Ballroom AB |
| Area: SCI; Domain: Theory |
| CE Instructor: Angel Fettig, Ph.D. |
| ANGEL FETTIG (University of Washington), SHAWNA HARBIN (Purdue University) |
| Description: Single Case Design is a well suited, rigorous methodological approach to understanding practices that work with children with significant and complex support needs. Considering SCD plus qualitative in a mixed methods approach can answer questions beyond relationships between practices and outcomes. Mixed Methods research answers research questions that consider who practices work for and the contexts and conditions that promote desired outcomes, and describes discrepant effects in our applied settings of school, homes, and communities (Love et al., 2023). In this panel, we will discuss values of mixed methods approaches that include SCD and approaches in doing so with illustrative examples. |
| Learning Objectives: 1. Understand the importance and utility of mixed methods approaches in enhancing single case design research | 2. Understand how single case research approaches can be applied in the 3 core mixed methods designs | 3. Recognize how a mixed methods approach could enhance findings from their current and/or previous single-case projects. |
| Activities: The audience will break into small groups for interactive discussions and applied activities related to Drs. Fettig & Harbin's presentation. |
| Audience: Single-case researchers, reviewers, editors, and those who teach single-case designs |
| Content Area: Methodology |
| Instruction Level: Advanced |