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Pragmatic Application of Risk Ratios in Behavior Analysis
P Raymond Joslyn1, Samuel L Morris2
1Department of Psychology, West Virginia University, Morgantown, WV USA.
Perspectives on Behavior Science
|November 25, 2024
Summary
This study discusses the application of risk ratios for within-subject behavioral data. It responds to critiques of a new method, arguing that alternative risk ratio calculations can be valuable for behavior analysts.
Area of Science:
- Behavioral science
- Psychology
- Research methodology
Background:
- A recent tutorial proposed adapting risk ratios for within-subject behavioral data.
- A commentary criticized this approach, advocating for traditional risk ratio calculations used in group comparisons.
Purpose of the Study:
- To respond to critiques of a novel risk ratio application for within-subject data.
- To evaluate the utility of different risk ratio calculation methods for behavior analysis.
Main Methods:
- The study presents a response to a commentary on risk ratio methodology.
- It involves a critical discussion of traditional versus adapted risk ratio calculations.
Main Results:
- The authors agree with some points raised in the commentary but disagree that only traditional risk ratios are valid.
- They argue that adapted risk ratios can also be useful for behavior analysts.
Conclusions:
- The utility of different risk ratio approaches depends on specific research variables.
- Behavior analysts should consider multiple methods for evaluating relative risk.
Keywords:
Conditional probabilityQuantitative methodsRelative riskRisk ratioUnconditional probabilityMore Related Videos
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