29.1017, Summer Schools: Statistics for the Behavioural Sciences/Denmark

Tue Mar 6 16:51:19 UTC 2018

LINGUIST List: Vol-29-1017. Tue Mar 06 2018. ISSN: 1069 - 4875.

Subject: 29.1017, Summer Schools: Statistics for the Behavioural Sciences/Denmark

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Date: Tue, 06 Mar 2018 11:51:14
From: Laura Balling [lwb.msc at cbs.dk]
Subject: Statistics for the Behavioural Sciences

Statistics for the Behavioural Sciences

Host Institution: Copenhagen Business School
Website: https://www.cbs.dk/en/research/phd-programmes/phd-courses-0

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.

Description:
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
                Email: kht.research at cbs.dk

Apply on the web: https://www.cbs.dk/en/research/phd-programmes/phd-courses-0

Registration Instructions:
Registration is open until June 1.

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