#statstab #486 Testing Bayesian Informative Hypotheses in Five Steps With JASP and R {bain}

Thoughts: The BAIN module let's you go beyond "effect vs no effect" by specifying contrasts (hyp) & obtaining fractional BFs.

#bain #jasp #bayesfactor #bayesian #rstats #r #hypothesis #nhbt #BF #methods #tutorial #guide
https://share.google/cTDvBO7SQM9CpNqlU

#statstab #453 {Bayes Power}
A General Application of Power and Sample Size Calculation for the Bayes Factors

Thoughts: Blending frequentist notions of power with bayes hypothesis testing.

#poweranalysis #bayesian #bayesfactor #errorrate #rstats #nhbt

https://doi.org/10.31234/osf.io/pgdac_v1

#statstab #414 The Bayes factor {shiny app}

Thoughts: It's almost the start of term, so here is another teaching tool for learning about Bayes Factors.

#nhbt #bayes #bayesfactor #learing #pedagogy #shiny #r

https://statsedge.org/shiny/LearnBF/

#statstab #335 Bayesian New Statistics

Thoughts: An influential paper with a great overview of different approaches to research.

#bayesian #nhst #nhbt #estimation #testing #frequentist
https://link.springer.com/content/pdf/10.3758/s13423-016-1221-4.pdf

#statstab #279 Diagnosing the Misuse of the Bayes Factor in Applied Research

Thoughts: As with NHST, Null Hypothesis Bayesian Testing (NHBT) can also be easily misunderstood.

#bayes #bayesian #NHBT #misuse #QRPs #error

https://journals.sagepub.com/doi/10.1177/25152459231213371

#statstab #236 Using Bayes to get the most out of non-significant results

Thoughts: A bayesian way to investigate "no effect": Bayes Factors. Cool guide on how to think about priors (post hoc even).

#priors #bayesfactors #nullresults #equivalence #nhbt

https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2014.00781/full