Part II of my series on what to do with non-significant results is up now.
In this post, I focus on how to determine if your data is compatible with the claim of "no effect" (and why relying on p-values is wrong). It covers TOST equivalence tests and how to interpret and write up your results for publication. Link below 🔗
#statistics #frequentist #NHST #pvalue #equivalencetests #TOST #null #hypothesistesting #hypothesis
https://mzstats.blogspot.com/2023/01/what-to-do-with-null-results-part-ii.html
#statistics #frequentist #nhst #pvalue #equivalencetests #tost #null #HypothesisTesting #hypothesis
Exploratory hypothesis testing:
Nice to see that our article “Exploratory hypothesis tests can be more compelling than confirmatory hypothesis tests” (https://doi.org/10.1080/09515089.2022.2113771), which was published 4 months ago, is the most read article in @PhilosophicalPsychology in the last 12 months: https://www.tandfonline.com/action/showMostReadArticles?journalCode=cphp20
#Psychology
#PhilosophyOfScience
#PhilSci
#MetaScience
#Preregistration
#HypothesisTesting
#HypothesisTesting #PreRegistration #metascience #philsci #philosophyofscience #psychology
What is #empiricism ? To quote wiki
"Empiricism in the philosophy of science emphasizes evidence, especially as discovered in experiments. It is a fundamental part of the scientific method that all hypotheses and theories must be tested against observations of the natural world rather than resting solely on a priori reasoning, intuition, or revelation"
https://en.wikipedia.org/wiki/Empirici
#PhilosophyOfScience #science #epistemology #NaturalScience #HypothesisTesting #observation
#observation #HypothesisTesting #naturalscience #epistemology #science #philosophyofscience #empiricism