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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 |
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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 |