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Students will be familiarized with a series of quantitative techniques that allow them to do quantitative data analyses such that these analyses may serve as a base for scientific publication. Students will learn about the theoretical backgrounds of these methods as well as learn how to carry out the analyses on existing data using state-of-the-art software packages.
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Students will learn how to apply advanced quantitative methods as part of a study design, with the broader aim of answering a specific research question.
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The course will consist of a series of lectures on specific techniques, followed a few days later by a computer practical where the techniques are practiced on a given data set. The techniques addressed in this course include:
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Linear regression
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Logistic regression and ordered logit models
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Multi-level analysis
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Factor analysis
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Cluster analysis
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Network analysis
The last two weeks of the course, students will work on a loosely structured assignment, in which they answer a research question based on a given data set. The assignment includes choice of the appropriate technique(s), the appropriate variables, interpretation of the results and reporting all this in a working paper. Results will be presented in a seminar, where feedback is given by peers and supervisor.
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