Linear and Generalised Linear Regression
Full course description
This course is a continuation from the course “Social Science Statistics in European Studies”. It runs in parallel with your substantive course, and it will teach you how to use the appropriate quantitative method in order to carry out a quantitative analysis in a paper with a topic of your choice. In the first tutorial we will cover in greater detail the basics of how to write a quantitative paper, and we will revise the theory of linear regression model. We continue with an introduction to STATA (the statistic package used in this course). Then we focus on dichotomous independent variables and multiplicative interaction terms, and linear regression diagnostic. We also cover the logit model, and we cover the basics of the ordinal logit and probit models. The last two tutorials are devoted to one-on-one meetings on your research papers.
Course objectives
- to acquire in-depth knowledge and understanding of quantitative research methods and their application to scientific research in the field of European Studies (specialisation c);
- to acquire advanced knowledge of how to integrate substantive, theoretical and methodological knowledge;
- to select and apply, depending on the specialisation, the appropriate historical, qualitative or quantitative social science research methods to analyse new research puzzles and questions in the multi- and interdisciplinary field of European Studies;; to integrate and apply substantive knowledge, theories and methods from the multi- and interdisciplinary field of European Studies to new research puzzles so as to facilitate substantive, theoretical and methodological innovation;
- integrate substantive and methodological knowledge as a basis to develop evidence-based arguments;
- to manage datasets to build evidence-based arguments to understand and explain processes of European integration, EU politics and policies, as well as the EU as an international actor in a changing global environment;
- to set one’s own objectives, priorities and develop feasible work and research plans (self-directed learning);
- to acquire an original and critical style of analysis.
Prerequisites
RES5021
Recommended reading
- Field, Andy (2009) Discovering Statistics Using SPSS. Sage.
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences, 3rd Edition. London: Lawrence Erlbaum Associates.
- Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: Sage.
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