We are happy to announce The First Summer School on Statistical Methods for Linguistics and Psychology, to be held in Potsdam, Germany from August 28th to September 1st 2017. This first edition of the summer school will provide an introductory overview of frequentist and Bayesian statistics for linguists and psychologists. We will cover the necessary theoretical background for both statistical frameworks, and participants will get hands-on practice in learning to analyze real data sets.
- 29th August: Prof. Dr. Richard McElreath, Director, Department of Human Behavior, Ecology, and Culture Max Planck Institute for Evolutionary Anthropology
- 31st August: Dr. Mark Andrews, Senior Lecturer, School of Social Sciences, Nottingham Trent University, UK
28 August - 1 September 2017 9AM-5PM, plus two invited lecturers on the evenings of 29th August and 31st August 2017.
The summer school is intended for participants who have some some data analysis experience (such as t-tests and simple linear models), but want to work with state-of-the-art frequentist and Bayesian methods.
We will mainly focus on modeling repeated measures data. We will discuss hierarchical modeling in detail, using the generalized linear mixed modeling framework as a starting point. We will use R and Stan. Participants will be assumed to have a working knowledge of R; Stan will be taught from scratch. Everyone is expected to bring their own laptop computer.
If there is sufficient interest among the accepted applicants, we may also offer additional lectures on advanced statistical methods such as bootstrapping, modeling time series data, multivariate analysis, and survival analysis. Future summer school editions will in any case include these topics.
The summer school will consist of lectures followed by hands-on exercises. Two evenings (Tuesday and Thursday) will have invited lectures; these lectures will be followed by an evening of merriment.
There will be no fees for participating, but since seats are limited to 30, candidates must apply to be accepted. The deadline for applications is 31 May 2017, and decisions will be announced on 5 June 2017. Participants will pay for their own accommodation.