Abstract
Psychological science moves towards specification of effect sizes in formulating hypotheses, performing power-analyses, and when consideration of the relevance of findings. This development has sparked an appreciation for the wider context in which such effect sizes are found, as the importance assigned to specific sizes may vary from situation to situation. We add to this development a crucial but in psychology hitherto underappreciated contingency: there are mathematical limits to the magnitudes that population effect sizes can take within the common multivariate context in which psychology is situated, and these limits can be far more restrictive than typically assumed. The implication is that some hypothesized or pre-registered effect sizes may be impossible. At the same time, these restrictions offer a way of statistically triangulating the plausible range of unknown effect sizes. We explain the reason for the existence of these limits, illustrate how to identify them, and offer recommendations for improving hypothesized effect sizes exploiting the broader multivariate context in which they are situated.
▲ Professor, George Washington University
www.WeShareScience.com (an online video science fair – down for upgrades)
www.NeedsAssessment.org (all things needs assessment)
Your workday may not be the same as my workday, so please respond during your workday.
- How Automated and Personalized Feedback Reports Can Support Teacher Learning - April 3, 2025
- Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents - April 3, 2025
- From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions - April 2, 2025