#statstab #327 Effect Sizes for Equivalence Testing: Incorporating the Equivalence Interval

Thoughts: Not sure what value this approach has yet, but sharing for feedback.

#equivalencetests #sesoi #nhst #noeffect #nonsignificant #practicalsignificance

https://osf.io/preprints/psyarxiv/5buz9_v1

#statstab #238 Bridging null hypothesis testing and estimation

Thoughts: An overview of the ways you can claim "no effect" under a bayesian framework.

#bayesian #bayesfactors #nullresults #noeffect #equivalencetests #equivalence #jasp #r

https://osf.io/preprints/psyarxiv/c7b45

#statstab #233 Conditional equivalence testing (CET rule)

Thoughts: Many might not know that there are several decision rules for equivalence test. This one is slightly different from TOST classic.

#equivalencetests #equivalence #rules #nhst

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195145

#statstab #232 Bayesian Interval-Null Testing

Thoughts: @JASPStats has a module for Equivalence Tests that include Bayesian Overlapping and Non-Overlapping Hypothesis Testing.

#equivalencetests #bayesfactors #jasp #noeffect #bayes
https://jasp-stats.org/2020/06/02/frequentist-and-bayesian-equivalence-testing-in-jasp/

#statstab #222 ROPE sensitivity to scales

Thoughts: Insightful github thread on setting ROPE ranges for equivalence tests, & scaled / standardized predictors. PSA: make sure your model makes sense.

#ROPE #equivalencetests #signficance #parameters #r

https://github.com/easystats/bayestestR/issues/144

#statstab #215 Four one-sided test of significance (FOST)

Thoughts: If you liked the "two one-sided t-tests" you'll love four! 2x the fun and inference. Superiority+equivalence+inferiority

#NHST #TOST #equivalencetests

https://pedermisager.org/blog/four-one-sided-test/

#statstab #205 Equivalence Tests Using {marginaleffects}

Thoughts: Easily testing for "no effect" is important. Here's a tutorial by @carlislerainey using @VincentAB r pkg.

#equivalencetests #equivalence #TOST #marginaleffects #tutorial #nullresults #r

https://www.carlislerainey.com/blog/2023-08-18-equivalence-tests/

#statstab #199 Mixed model equivalence test using R and PANGEA

Thoughts: While there are easier ways to compute #EQ tests for such models now, it is nice to see how you'd do so manually.

#equivalencetests #NHST #mixedeffects #r #stats #nullresults

https://pedermisager.org/blog/mixed_model_equivalence/

#statstab #194 Design and analysis of noninferiority studies

Thoughts: Sometimes all you want to know is "is this new thing not worse than the previous one?". Enter noninferiority tests.

#noninferiority #equivalencetests #nhst #testing

https://support.sas.com/kb/48/616.html

Continuing my migration to #Substack, just posted my Part II of what to do with Null results:

#stats #NHST #TOST #EquivalenceTests

https://open.substack.com/pub/mzloteanu/p/what-to-do-with-null-results-part?r=3b457w&utm_campaign=post&utm_medium=web&showWelcome=true

🚨My new #openaccess paper is out. I explore the effect of uncertainty framing (epistemic or aleatory) on veracity judgements. The "negative" results indicate that phrasing the judgement as "how SURE are you... " vs "how LIKELY is it... " does *not* impact veracity judgments.

#equivalencetests #nullresults #deception #bayesian

Zloteanu, M. (2023). Uncertain Veracity Judgements: Does the Framing of the Question Influence Deception Detection? Experimental Results, 1-16
https://doi.org/10.1017/exp.2023.9

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