Episode 4: Statistical Testing and Behavior Analysis
1 BACB CEU
The purpose of this presentation is to provide a brief introduction to several descriptive and inferential statical methods that can assist in interpreting data relevant to behavior analysts. We will first provide a comparison between visual analysis and statistical testing. The presentation will then provide three different case studies, each using real-world clinical data showcasing three different inferential statistical methods that can help answering questions relevant to behavior analysts. Each case study will include a step-by-step guide illustrating how to use GraphPad Prism, a powerful and user-friendly statistics software, in analyzing the data. Finally, the presentation revisits several considerations when using statistical testing and additional resources for interested attendee.
- Describe the differences between visual analysis and inferential statistical testing
- State the differences between independent sample t-test, repeated measure t-test, and simple linear regression
- Describe the differences between statistical significance and practical significance
Part 1 – Visual analysis and statistical Testing, why they matter?
Part 2 – Is the treatment working? A case study on repeated measure T-test
Part 3 – Which treatment is working better? A case study on independent sample T-test
Part 4 – What variables impact treatment outcome? A case study on simple linear regression
Part 5 – Statistical testing: A cautiousness tell