LINGUIST List 29.1017
Tue Mar 06 2018
Summer Schools: Statistics for the Behavioural Sciences/Denmark
Editor for this issue: Sarah Robinson <srobinsonlinguistlist.org>
Laura Balling <lwb.msc
Statistics for the Behavioural Sciences E-mail this
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Host Institution: Copenhagen Business School
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
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
- Loading and manipulating data in the R environment prior
- 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 is open until June 1.
Page Updated: 06-Mar-2018