LINGUIST List 29.1017

Tue Mar 06 2018

Summer Schools: Statistics for the Behavioural Sciences/Denmark

Editor for this issue: Sarah Robinson <>

Date: 01-Mar-2018
From: Laura Balling <>
Subject: Statistics for the Behavioural Sciences
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Host Institution: Copenhagen Business School

Dates: 27-Aug-2018 - 31-Aug-2018
Location: Copenhagen, Denmark

Focus: The aim of the course is to enable participants to conduct sound quantitative research and statistical analyses, both in their PhD-projects and in their further careers inside and outside of academia. We start with the basics of quantitative research design and statistical testing, but quickly move on to the type of multivariate methods that are necessary to analyse real datasets with many variables and complex dependencies. We focus on the practical applications of statistics and include a substantial amount of hands-on examples and exercises. We use the open-source programme R which is a powerful tool that does not require an institutional license, but is freely available to all users.
Minimum Education Level: MA
Special Qualifications: The course is for anyone who is interested in doing quantitative research and analyse the results statistically. We assume no prior knowledge of statistics or mathematics, but we do assume that participants have worked seriously with the preparation for the course and are ready for a steep learning curve. Participants who have data from their own projects may bring them for discussion and analysis during the course, but this is not a requirement. The course is primarily for PhD-students but other researchers may also attend if there are spaces left.

The course covers the following topics

- Key aspects of quantitative research design, including research questions and hypotheses, sample and population, the types and roles of variables in the research design. We emphasise the importance of considering statistics from the earliest phases of research design.

- Loading and manipulating data in the R environment prior to analysis.

- Fundamentals of statistical testing: null and alternative hypotheses, test statistics and p-values.

- Selected simple statistical tests, the exact choice depending on the participants’ needs and backgrounds as expressed in a project description to be handed in before the course (see below).

- Multiple regression with a special emphasis on mixed-effects models which are ideal for research that involves multiple responses from multiple individuals.

Linguistic Field(s): Not Applicable

Tuition: 875 EUR
Registration: 23-Feb-2018 to 01-Jun-2018
Contact Person: Katja H. Tingleff

Apply on the web:

Registration Instructions:
Registration is open until June 1.

Page Updated: 06-Mar-2018