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Discover ECPR's Latest Methods Course Offerings

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Confirmed Courses

THIS IS THE FINAL LIST OF CONFIRMED COURSES.

Please note the software and hardware requirements in the course outline. Some courses require software to be pre-installed on your own laptop. To find out more, click on the course code number and read the outline, which also contains contact details for the Instructor.

If a course is fully booked email us to be added to a waiting list.

Confirmed Short Courses

Course code Course title Friday Saturday
WA101 Foundations of Set-Theoretic and Case-Oriented Methods 13:00–18:00 09:00–17:30
WA102 Introduction to Conjoint Experiments 13:00–18:00 09:00–17:30
WA103 Automated Web Data Collection with R 13:00–18:00 09:00–17:30
WA104 Introduction to R (entry level) 13:00–18:00 09:00–17:30
WA105 Introduction to R (for participants with some prior knowledge in command-line programming) 13:00–18:00 09:00–17:30
WA107 Introduction to Python Programming 13:00–18:00 09:00–17:30
WA108 Regression Refresher (before you take a more advanced stats course) 13:00–18:00 09:00–17:30
WA110 Maximum Likelihood Estimation 13:00–18:00 09:00–17:30
WA111 Introduction to NVivo for Qualitative Data Analysis 13:00–18:00 09:00–17:30
WA112 Introduction to MAXQDA: A Qualitative and Mixed Methods Data Analysis Software 13:00–18:00 09:00–17:30
WA113 Introduction to Geographical Data Management and Analysis with ArcGIS 13:00–18:00 09:00–17:30
WA114 Vignette Methods in Qualitative Research 13:00–18:00 09:00–17:30
WA115 Synthetic Control Methods for Policy Impact Evaluation 13:00–18:00 09:00–17:30

Confirmed Main Courses

Course code Course title Time
WB100 Measurement: Approaches Bridging Concepts and Data 14:00–17:30
WB101 Working with Concepts in the Social Sciences 09:00–12:30
WB102 Comparative Research Designs 14:00–17:30
WB103 Comparative Historical Analysis 09:00–12:30
WB104 Introduction to Process Tracing 09:00–12:30
WB105 Introduction to Qualitative Comparative Analysis (QCA) 09:00–12:30
WB106 Linear Regression with R: Estimation, Interpretation and Presentation 14:00–17:30
WB107 Introduction to Statistics for Political and Social Scientists Workshop All Day
WB108 Tools for the Analysis of Complex Social Systems: An Introduction 14:00–17:30
WB109 Introduction to Qualitative Interpretive Methods 09:00–12:30
WB110 Analyticism and Pragmatism as Research Strategies 09:00–12:30
WC101 Qualitative Interviewing Workshop All Day
WC102 Focus Groups – From Qualitative Data Generation to Analysis 14:00–17:30
WC103 Online Qualitative Methods and Virtual Ethnography 14:00–17:30
WC104 Survey Design 09:00–12:30
WC105 Python Programming for Social Sciences: Collecting, Analysing and Presenting Social Media Data 14:00–17:30
WD101 Introduction to Quantitative Text Analysis 09:00–12:30
WD102 Introduction to Applied Social Network Analysis 09:00–12:30
WD201 Analysing Political Language 09:00–12:30
WD202 Advanced Qualitative Data Analysis 09:00–12:30
WD203 Advanced Process-tracing Workshop All Day
WD204 Advanced Topics in Set-Theoretic Methods and QCA 14:00–17:30
WD205 Advanced Multi-Method Research 09:00–12:30
WD206 Logistic Regression and General Linear Models 14:00–17:30
WD207 Conditional Logit Models 09:00–12:30
WD208 Introduction to Bayesian Inference 09:00–12:30
WD209 Panel Data Analysis 14:00–17:30
WD210 Methods of Modern Causal Analysis Based on Observational Data 09:00–12:30
WD211 Multilevel Regression Modelling 14:00–17:30
WD212 Structural Equation Modelling (SEM) with R 09:00–12:30
WD213 Times Series Analysis 14:00–17:30
WD214 Event History and Survival Analysis 09:00–12:30
WD215 Introduction to Machine Learning for the Social Sciences 14:00–17:30

Confirmed Free Courses

Course code Course title Time
WF100 Maths Refresher – FREE COURSE 08:00–08:50
WF101 Visualisation of Information – FREE COURSE 08:00–08:50
WF102 Philosophy and Methodology of the Social Sciences – FREE COURSE 08:00–08:50