Workflow Techniques for the Robust Use of Bayes Factors Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide one general way to compare different hypotheses by their compatibility with the observed data. Those quantif...

#statstab #334 Workflow Techniques for the Robust Use of Bayes Factors

Thoughts: "We outline a Bayes factor workflow that researchers can use to study whether Bayes factors are robust for their individual analysis"

#bayesfactors #bayesian #r #robust

arxiv.org/abs/2103.08744

#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

osf.io/preprints/ps...

Frontiers | Using Bayes to get the most out of non-significant results No scientific conclusion follows automatically from a statistically non-significant result, yet people routinely use non-significant results to guide conclus...

#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

www.frontiersin.org/journals/psy...

#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

jasp-stats.org/2020/06/02/f...

JASP - A Fresh Way to do Statistics

#statstab #196 JASP Bayesian ANOVA

Thoughts: @JASPStats is used by researchers to "add some bayes factors" to their results. But, do you know what those actually reflect? Here is what their team says:

#bayes #bayesfactors #anova #modelcomparison

static.jasp-stats.org/about-bayesi...

#statstab #166 Using Bayes to get the most out of non-significant results

Thoughts: Not sure how to set more meaningful priors for your Bayes Factors? This paper has a guidance. Great for simple designs.

#bayesian #bayes #bayesfactors #nullresults #nhst

www.frontiersin.org/journals/psy...

#statstab #165 Approximate Objective Bayes Factors From P-Values and Sample Size: The 3p√n Rule

Thoughts: p-values can't quantify evidence, but maybe if we apply a transformation they can? Is JAB_01 the future? Debate!

#nhst #pvalues #bayesfactors

osf.io/preprints/ps...

Bayes factor and plot

#statstab #148 Bayes Factors and how to use them, via {bayestestR} pkg

Thoughts: A go-to packages for bayesian model inference. Also has a great explanation of BFs, how to use them, and alternatives.

#r #rstats #bayes #BayesFactors #HypothesisTesting

easystats.github.io/bayestestR/a...

Improving the utility of non-significant results for educational research: A review and recommendations When used appropriately, non-significant p-values have the potential to further our understanding of what does not work in education, and why. When mi…

#statstab #90 Improving the utility of non-significant results [...]

Thoughts: OK overview, but a fairly naive take on what to do with non-sig results. Also, plz don't just report #bayesfactors and call it a day!

#pvalues #NHST #frequentist #education

www.sciencedirect.com/science/arti...

GitHub - bayesstuff/bfrms: Bayes Factors for brms Models Bayes Factors for brms Models. Contribute to bayesstuff/bfrms development by creating an account on GitHub.

#statstab #87 {bfrms} Bayes Factors for {brms} models

Thoughts: Pkg seems dead, but has insights into specifying #brms models to get similar results to #JASP and the need for more samples (24k min) for proper estimation.

#bayesian #bayesfactors #rstats

github.com/bayesstuff/b...

#statstab #60 Justifying Bayesian Priors

Thoughts: This blog post was extremely useful when I started using @JASPStats and had no idea what priors were. Recommend it.

#bayesian #bayesfactors #jasp

xeniaschmalz.blogspot.com/2019/09/just...

Matti’s homepage - Bayes Factors with brms How to calculate Bayes Factors with the R package brms using the Savage-Dickey density ratio method.

#statstab #42 Bayes Factors in #brms

Thoughts: Bayes Factors are just the ratio of the height difference of two points on two lines, don't @ me! (seriously, that's how most packages commute it)

#rstats #jasp #bayesian #bayesfactors #SavageDickey

mvuorre.github.io/posts/2017-0...

An Introduction to Being Less Wrong Bayesian Hypothesis Testing and Model Averaged Marginal Effects for the Social Sciences

#statstab #30 Bayesian Model Averaged Marginal Effects by A. J. Nafa

Thoughts: Why report AMEs when you can report BMAMEs? Cool (necessary?) way to capture uncertainty. Unsure it make sense for experiments.

#bayesian #uncertainty #rstats #BayesFactors

www.ajordannafa.com/blog/2022/be...