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43557-01 - Course: Multidimensional Scaling 3 CP

Semester fall semester 2018
Course frequency Irregular
Lecturers Lena Berger (lena.berger@unibas.ch, Assessor)
Content Multidimensional Scaling (MDS) is a quantitative technique to visualize the relationships between objects in a graph. This introductory course will give an overview of the main features of MDS including suitable data types, modelling techniques, and approaches to interpret MDS solutions. The course includes theoretical consideration as well as practical applications, using different data sets. Of special interest will be how the different elements relevant for the application of the method such as data collection, data preparation, model features, and techniques of interpretation are interlinked, and how decisions with regard to these relate to the outcome of the analysis. We will be using the statistical software R.
Learning objectives The course participants
- understand the basic principles of Multidimensional Scaling,
- understand the potential and limitations of Multidimensional Scaling and
- are able to apply Multidimensional Scaling.
Bibliography Borg, I. & Groenen, P.J.F. (2005). Modern multidimensional scaling. Theory and applications. New York: Springer.
Coxon, A.P.M. (1982). The user’s guide to multidimensional scaling. London: Heinemann.
Comments Quantitative Methoden

 

Admission requirements Successful completion of an introductory statistics course, willingness to learn the language of the statistical software R, and a laptop computer with R installed.
Free download: https://www.r-project.org/
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies)
Modul: Methoden der Soziologie: quantitativ (Master's degree subject: Sociology)
Modul: Research Skills (Master's degree program: African Studies)
Modul: Vertiefung Politikwissenschaft M.A. (Master's degree subject: Political Science)
Assessment format continuous assessment
Assessment details Short report
Assessment registration/deregistration Reg.: course registration; dereg.: not required
Repeat examination no repeat examination
Scale Pass / Fail
Repeated registration as often as necessary
Responsible faculty Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch
Offered by Fachbereich Soziologie

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