This article explains the foundational concepts of Bayesian data analysis using virtually no
mathematical notation. Bayesian ideas already match your intuitions from everyday …

No scientific conclusion follows automatically from a statistically non-significant result, yet
people routinely use non-significant results to guide conclusions about the status of theories …

Unplanned optional stopping rules have been criticized for inflating Type I error rates under
the null hypothesis significance testing (NHST) paradigm. Despite these criticisms, this …

Bayes factors provide a symmetrical measure of evidence for one model versus another (eg
H1 versus H0) in order to relate theory to data. These properties help solve some (but not …

Optional stopping refers to the practice of peeking at data and then, based on the results,
deciding whether or not to continue an experiment. In the context of ordinary significance …

A core aspect of science is using data to assess the degree to which data provide evidence
for competing claims, hypotheses, or theories. Evidence is by definition something that …

Recently, optional stopping has been a subject of debate in the Bayesian psychology
community. Rouder (Psychonomic Bulletin & Review 21 (2), 301–308, 2014) argues that …

Published testimony in management, as in other sciences, includes cases where authors
have overstated the inferential value of their analysis. Where some scholars have diagnosed …

1828 Lindsay surprising result, and (c) ap value only slightly less than. 05. 2 In my view,
Psychological Science should not publish any single-experiment report with these three …

Looking times (LTs) are frequently measured in empirical research on infant cognition. We
analyzed the statistical distribution of LTs across participants to develop recommendations …