Embedded Files
Don't miss out, registration is now open!
Dr. Mark Dixon is a Board Certified Behavior Analyst – Doctorate and a clinical professor at the Department of Disability and Human Development at University of Illinois- Chicago. Dr. Dixon has published 12 books, over 230 peer reviewed journal articles, and delivered 1000s of presentations around the globe. His research and/or expert opinions have been featured in Time Magazine, Newsweek, The New York Times, National Public Radio, This American Life, and Netflix’s series Bill Nye Saves the World. Dr. Dixon cares for individuals and their families impacted by autism and other developmental disabilities through his innovative research that guides practice. He has generated millions of dollars of funding to infuse behavior analysis within local schools and treatment facilities and created multiple clinics for persons diagnosed with autism and related conditions.
About Group Design
Group Design introduces students to a variety of conceptual and analytic methods to expand possible research approaches within the behavioral sciences. Students learn about best practices in subject selection, assignment, and inferencing data towards larger populations. Topics covered include data distributions, correlations, effect sizes, power analysis, correlation analysis, hypo-deductive experimental designs, t-tests, ANOVAs, ANCOVAs, and various sorts of regression analysis. Designed as a theory-to-practice course, students will complete a variety of small research projects and utilize statistical analysis software, to bring the concepts of group research design to life within their own behavioral research areas.
Why Take This Course?
Master the Three Pillars of Group Research
This course provides the essential skills needed to design robust studies and analyze data effectively:
Research Foundations: Learn best practices for subject selection, assignment, and the methods required to draw inferences about larger populations.
Advanced Statistical Methods: Gain expertise in data distributions, correlations, effect sizes, and power analysis.
Analytic Techniques: Master critical tools including t-tests, ANOVAs, ANCOVAs, and various forms of regression analysis.
Theory-to-Practice Application
This is a hands-on course where students do more than just study theory:
Practical Projects: Complete a variety of small research projects to bring concepts to life.
Software Proficiency: Utilize statistical analysis software to analyze data within your own specific behavioral research areas. Move beyond theoretical statistics by gaining hands-on experience with Prism GraphPad, a powerful statistical software.
Data Inference: Develop the skills to accurately apply group research findings to broader contexts.
Critical Evaluation: Develop the skills to be a knowledgeable consumer of research. You won't just learn to do research; you'll learn how to critically evaluate journal articles and presentations to see if their conclusions actually hold water.
Course Highlights
Up to 36 CEU Credits Available: Earn significant continuing education units while mastering complex research designs.
Small Class Sizes: Benefit from an intimate setting that allows for meaningful engagement with the material.
Individualized Feedback: Receive personalized guidance on your research projects and statistical analyses.
Course Dates and Times:
Convenient Schedule:
Course Section: ABA 761 DBO1
Fall 2026: September 14 - December 14, 2026 (14 Sessions)
Join us on Mondays from 5:00–9:00 PM (EST)
September: 14, 21, 28
October: 5, 12, 19, 26
November: 2, 9, 16, 23, 30
December: 7, 14
1oup DesigMo00 PM (ESTFal6 Semester/1/2026 to 12/18/2026
Page updated
Report abuse