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The ECPR Methods School offers a broad variety of courses that cater for the needs of researchers in political science and neighbouring disciplines. The Winter School offers five types of courses, each designed to complement the others thus providing a full and comprehensive package of tuition (a further 'intensive refresher' course is available at the Summer School only).
The Winter School programme starts with Short, 2-day Preparatory courses held on the 26 and 27 February, followed by a choice of four different types of Main courses, each lasting five days which run from the 29 February to 4 March. You can choose either one Short course or one Main course, or a package of both one of each. It is not possible to take more than one Short course and one Main course though, as you will be given assignments, projects or readings in addition to class tuition.
A full list of courses is listed below. Click on the individual course code below to go directly to the full details for that course.
Friday 26 February: 13:00-15:00 and 15.30-17.00
Saturday 27 February: 09.30-11.30 and 12.30-14.30
There are 12 Short Preparatory courses offering a quick introduction or ‘refresher’ to tools that will be useful for further courses. Typically: software training, before taking a data analysis course.
You can take a Short course on its own or combine it with one Main course (a package). Course packages offer a discounted rate compared to booking individually. Click on the individual course code below to go directly to the full details for that course.
WA101. Philosophy and Methodology of the Social Sciences: A Pluralistic Framework
WA103. Programming in LaTeX for Social Scientific Document Preparation
WA104. Short Introduction to R
WA109. Combining Data from Different Sources: Different Techniques, Different Worlds
WA110. Introduction to Qualitative Data Analysis with Atlas.ti
WA111. Introduction to NVivo for Qualitative Data Analysis
WA112. Introduction to MAXQDA a Qualitative and Mixed Methods Data Analysis Software
Generally classes are either 09:00-12:30 or 14:00-17:30
There are four types of Main course available at the Winter School, listed below. You can take a Main course on its own or combine it with one Short course (a package). Course packages offer a discounted rate compared to booking individually. Click on the individual course code below to go directly to the full details for that course.
Research design/fundamentals course: An ‘upstream’ course enabling you to think about your research more broadly, so you can make more informed choices about specific methods/techniques.
Data collection/generation course: A hands-on course focused on a specific method (or family of methods) for data collection or generation.
Data analysis course (introductory): A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to a level of well-informed use.
Data analysis course (advanced): A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to an expert level, including more recent refinements.
An ‘upstream’ course enabling you to think about your research more broadly, so you can make more informed choices about specific methods/techniques.
WB101. Research Design Fundamentals
WB102. Comparative Research Designs
WB103. Historical Methods for Social Scientists
WB104. Introduction to Qualitative Interpretive Methods
WB106. Introduction to Statistics for Political and Social Scientists
WB107. Game Theory for Social Scientists
A hands-on course focused on a specific method (or family of methods) for data collection or generation.
WC101. Qualitative Interviewing
WC102. Focus Groups – From Qualitative Data Generation to Analysis
WC104. Automated Web Data Collection with R
ADVANCED DATA COLLECTION COURSE
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to a level of well-informed use.
WD101. Quantative Text Analysis
WD102. Introduction to Applied Social Network Analysis
A hands-on course focused on a specific method (or family of methods) for data analysis, bringing you to an expert level, including more recent refinements.
WD201. Analysing Political Language
WD202. Advanced Process Tracing Methods
WD203. Advanced Topics in Set-Theoretic Methods and QCA
WD204. Advanced Multi-Method Research
WD205. Advanced Qualitative Data Analysis
WD206. Advanced Discrete Choice Modelling
WD208. Interpreting Binary Logistic Regression Models
WD209. Inferential Network Analysis
WD210. Introduction to Bayesian Inference
WD211. Panel Data Analysis: Hierarchical Structures, Heterogeneity and Serial Dependence
WD212. Modern Methods of Causal Analysis
WD214. Multilevel Regression Modelling
WD215. Agent-Based Modelling in the Social Sciences
WD216. Structural Equation Modeling (SEM) with R