December 6-7, 2017: Bayesian statistics
EPP Symposium

The EPP symposium on Bayesian statistics aims to provide researchers with the theoretical and practical tools to start utilizing Bayesian statistics in their own analyses. 

 

Bayesian statistics diverge from the typically used approach to hypothesis testing used in psychological science, which is known as ‘Null Hypothesis Significance Testing’ (NHST). In NHST you first determine the required sample size, collect data, and then test whether you have sufficient evidence to reject the null hypothesis. The Bayesian framework is not based on p-values or dichotomous decisions (i.e., the result is significant or not), but instead can indicate the relative support for different hypotheses (including suggesting that the null hypothesis best explains the data, rather than just indicating that it cannot be rejected). It is also possible to conduct continued assessments of evidence in favour of different hypotheses, even as data continues to be collected.

 

The goal of the workshop is two-fold and will focus on theory (what is Bayesian Statistics, how to interpret it, etc.) and practice (hands-on experience with the program JASP so you can perform Bayesian analyses in the future). JASP is a free, open-source, OS-independent package developed by the Psychological Methods department from the University of Amsterdam. The JASP program is similar to SPSS in the sense that it has a very user friendly interface, which makes it easy to use (for us, but also for students); plus JASP can also perform a number of standard NHST analyses.

Date
December, 6-7, 2017

Location
Kapellerput, Heeze, The Netherlands
www.kapellerput.nl

Organization
Jamey Elsey, Bruno Verschuere

Program

Wednesday

Dec 6th

 

Day1

10.00 – 10.30

Welcome + Coffee/Tea

10.30 – 12.30

Bayesian basics: probability, prior distribution, posterior distribution, and Bayes factors

12.30 – 13.30

Lunch

13.30 – 15.00

JASP basics

15.00 – 15.30

Coffee break

15.30 – 18.00

Practicing Bayes: T-Test, contingency tables, and correlation

18.00 – 19.00

Break to refresh and dress-up for dinner

19.00 – late

Dinner

Thursday

Dec 7th


Day2

09.30 – 11.00

PhD Talks / Advanced Bayes: Regression and ANOVA

11:00 – 12:30

Practicing Bayes: Regression and ANOVA

12.30 – 13.30

Lunch

13.30 – 15.00

Advanced JASP: OSF integration, Sumstats module, data-editing, and network module

15:00 – 16:30

Bring your own data!

Max. 50 participants!

Please leave this field empty.

Your Name

Your University

Your Role

Your Email

Your Phone

Stay overnight

Only for PhD students - Indicate if you want to reserve a single room (note that you need to pay the additional costs yourself)

Day 1 - Lunch

Day 1 - Dinner

Day 2 - Lunch

Dietary requirements

Shuttle service (from railway station Heeze)