01:26:03
Better & Easier Data Viz with Raincloud Plots in JASP (In-Depth Guide)
08:42
Model Averaged Bayesian T-Test
04:57
Introduction to JASP
19:50
Adjusting for Publication Bias in JASP
01:46:27
Introduction to QML and R in JASP
05:53
Selection Models Tutorial
10:52
RoBMA Tutorial
04:09
RoBMA Tutorial - Custom Priors
00:54
A Sneak Peek at JASP 0.14
01:23:38
Webinar: Theory and Practice of Bayesian Inference Using JASP
00:51
A Sneak Peek at JASP 0.12
00:37
Preview of JASP 0.11: The Machine Learning Module
41:04
EJ Wagenmakers @ TEAP 2016
07:06
How to Perform a Logistic Regression Analysis in JASP
49:15
Bayes Factors for Research Workers - PhD Thesis Defence Alexander Ly
09:20
Bayes Factors for Research Workers - Alexander Ly's Layman's Talk Before Defending his PhD Thesis
05:50
How to Perform a Network Analysis in JASP
04:48
Introducing JASP
05:31
JASP Tutorial: OSF Support
03:10
JASP Tutorial: Data Editing
02:29
JASP 0.8.1: Introducing the Data Editing Release
07:11
JASP Tutorial: Bayesian Correlation Test
07:34
JASP Tutorial: Bayesian Paired Samples T-Test
06:14
JASP Tutorial: Bayesian Binomial Test
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About
JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.
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