**DISCLAIMER**: This tutorial is not intended to substitute other, more in-depth [tutorials][1]. It is a simpler, condensed version for educational purposes, aimed at the members of the department to which this workshop was given.
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This component contains:
* **2017.09.01_MyJASP_Workshop.pdf**: pdf of the Powerpoint presentation: meaning of *p*-values, advantages of Bayes factors, description of experiment whose data were analyzed during the workshop;
* **TOJ.jasp**: JASP files with the analyses performed during the workshop;
* **TOJ.csv**: data used for the hands-on session (see also Sarina Evens' [thesis][2]);
* **Bayesian Inference for Psychology Part II Example Applications with JASP (Wagenmakers, 2017).pdf**: paper showing practical applications of JASP for common analyses in psychology;
* **Model comparison in ANOVA (Rouder, 2016).pdf**: paper describing the rationale behind the inclusion of main effects even when interested in interaction effects;
* **A practical solution to the pervasive problems of p values (Wagenmakers, 2007).pdf**: thorough description of the problems associated with p-values and a proposed solution based on the Bayesian Information Criterion. Although not so intuitive as the other papers included here, I am particularly attached to it because it changed my view on statistics;
* **Bayesian data analysis for newcomers (Kruschke, 2017).pdf**: broad and accessible presentation of the foundational concepts of Bayesian statistics, not heavily oriented towards Bayes factors.
[1]: https://jasp-stats.org/workshop/ "JASP tutorials"
[2]: https://osf.io/azh5r/ "Sarina Evens"
