Statistics with JASP: First Steps for Psychology Students
by
Rebecca Denniss and Stanislava Naneva
https://sheffield.pressbooks.pub/help4jasp/
An open (free!) textbook guide to using the open source (free!) statistics software package
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JASP 0.19.2 out a week ago:
"This version adds 2 new modules Bayes Factor Functions and BFPack. The classical Meta-Analysis module is also reworked to include Funnel Plot, Effect Size calculation, etc… Computed columns and labels are improved, and many other features and fixes are added."
JASP - Free and User-Friendly Statistical SoftwareRelease Notes - JASP - Free and User-Friendly Statistical Software0.19.2 (December 10th 2024) New modules Bayes Factor Functions: Calculate and interpret Bayes factors by mapping standardized effect sizes to Bayes factors derived from classical test statistics. BFFs simplify prior specification and compute Bayes factors across a range of alternative… Continue reading →
#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
#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/
Je découvre #Regressi (https://regressi.fr/WordPress)
C’est aussi puissant que moche !
La propagation automatique des incertitudes wow ! Par ex, vous avez une série d’angles θ à ±1°, vous créez une colonne sin(θ), les incertitude sur le sinus sont directement calculée !
Je n’ai trouvé ça dans aucune autre interface graphique (c’est possible avec uncertainties en python ou errors dans R)
J’ai testé #labplot2, #scidavis, #alphaplot #GNUPlot, #LibreOfficeCalc, #JASP, #Jamovi j’ai pas trouvé ça !
AAAAAAAAA.
Why is JASP on Mac 2.4 GB...
"Discovering Statistics Using…" by Andy Field is a book that a lot of people love since it helped them to understand how to do statistics.
Now, the book has been avaliable for SPSS (expensive!) and R (programming!) but soon we get an edition for JASP, a free program with an Excel-like interface.
JASP - Free and User-Friendly Statistical Software · "Discovering Statistics Using JASP": The Andy Field Classic Textbook Now Adapted for JASP - Available Early 2025! - JASP - Free and User-Friendly Statistical SoftwareWe are happy thrilled ecstatic to annouce that the textbook “Discovering Statistics Using JASP” is now officially in production, with an envisioned release date in the first quarter of 2025. Early this year, JASP team members Johnny van Doorn and… Continue reading →
GitHubGitHub - bayesstuff/bfrms: Bayes Factors for brms ModelsBayes Factors for brms Models. Contribute to bayesstuff/bfrms development by creating an account on GitHub.
#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.
https://xeniaschmalz.blogspot.com/2019/09/justifying-bayesian-prior-parameters-in.html
xeniaschmalz.blogspot.comBayes Factors 101: Justifying prior parameters in JASPUpdate (27.12.2021): The content of this blog post has been extended and published in the following article: Schmalz, X., Biurrun Manresa, J...
#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 #ResearchMethods #psychology #statstodon
https://mvuorre.github.io/posts/2017-03-21-bayes-factors-with-brms/
Matti's homepageMatti’s homepage - Bayes Factors with brmsHow to calculate Bayes Factors with the R package brms using the Savage-Dickey density ratio method.
#JASP 0.18.3 is out. Hotfix for the previous version.
Any #JASP users on 0.18.2 who could test a potential quick filtering problem?
GitHub[Bug]: quick / click filtering does not work · Issue #2515 · jasp-stats/jasp-issues
This also is what #OpenScience should be - the tools.
One might assume that academia would understand the benefits and the crucial need for opensource tools.
Good to see these organisations supporting #JASP.
Something for #JASP users - release 0.18.0 had:
"Main new feature: Data Editing"
Not something I personally missed, but some users have expressed a rather significant desire for such a feature.
Something for the #statistics crowd - #JASP 0.17.3 was released a few days ago.
Among other improvements, it now allows factor analysis on ordinal data.
Minor improvement, moar usability.
Anybody here used #JASP @JASPStats before? I'm trying it out with some super basic data, but I'm having trouble getting the plots I want and my search skills are failing me.
New publication in Behavior Research Methods (open access):
A tutorial on #Bayesian model-averaged #meta-analysis in #JASP
Sophie W. Berkhout, Julia M. Haaf, Quentin F. Gronau, Daniel W. Heck & Eric-Jan Wagenmakers
https://link.springer.com/article/10.3758/s13428-023-02093-6
SpringerLinkA tutorial on Bayesian model-averaged meta-analysis in JASP - Behavior Research MethodsResearchers conduct meta-analyses in order to synthesize information across different studies. Compared to standard meta-analytic methods, Bayesian model-averaged meta-analysis offers several practical advantages including the ability to quantify evidence in favor of the absence of an effect, the ability to monitor evidence as individual studies accumulate indefinitely, and the ability to draw inferences based on multiple models simultaneously. This tutorial introduces the concepts and logic underlying Bayesian model-averaged meta-analysis and illustrates its application using the open-source software JASP. As a running example, we perform a Bayesian meta-analysis on language development in children. We show how to conduct a Bayesian model-averaged meta-analysis and how to interpret the results.
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GitHubGitHub - hacihabiboglu/sphstat: A Python 3 package for spherical statisticsA Python 3 package for spherical statistics. Contribute to hacihabiboglu/sphstat development by creating an account on GitHub.
Hi mastodonians! I've just discovered something that could be interesting to know if you use mediational models in #Jamovi or #JASP. Please be careful when interpreting the results.
#Thread
#stats #ResearchMethods #statistics #mediation