APS
2024 APS Annual Convention
Emerging Alternatives to Traditional Null Hypothesis Significance Testing
The well-documented shortcomings of null hypothesis significance testing (NHST) led to several emerging alternatives, including null region framework, distinguishability from random conclusions, null hypothesis Bayesian testing (NHBT), and posterior probabilities of hypotheses. We will discuss what they test, what they don’t, and to what research questions they are most applicable.
Chairs & Discussants
- Yuichi ShodaChair
University of Washington - Clintin Davis-StoberCoChair
University of Missouri
Presentations
- Null Regions: A Unified Conceptual Framework for Statistical InferenceYuichi Shoda
- Better Accuracy for Better Science…through Random ConclusionsClintin Davis-Stober
- Null Hypothesis Bayesian Testing Via Bayes FactorsJorge Tendeiro
- Assessing Hypothesis Probabilities By Estimating Bayesian Posterior Probability Distributions of Effect SizesHenk Kiers
