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Discover ECPR's Latest Methods Course Offerings

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About the courses


Our Methods School delivers a broad variety of courses that cater for the needs of researchers in political science and neighbouring disciplines. The Winter School offers three complementary course types, providing a comprehensive tuition package. An intensive refresher course is available at the Summer School only.

The Winter School starts with Short, two-day Preparatory Courses held 2–3 March, followed by four different categories of Main or Master Course, each lasting five days, from 5–9 March.

You can take any course on its own or choose one of the five package options below

Winter School Course Packages

1

Short Preparatory
Friday 2 & Saturday 3

+

Main Course AM
Monday 5 – Friday 9
   
2 Short Preparatory
Friday 2 & Saturday 3

+

Main Course PM
Monday 5 – Friday 9
   
3 Short Preparatory
Friday 2 & Saturday 3

+

Master Course (All Day)
Monday 5 – Friday 9
   
4 Short Preparatory
Friday 2 & Saturday 3

+

Main Course AM
Monday 5 – Friday 9
+ Main Course PM
Monday 5 – Friday 9
5


Main Course AM
Monday 5 – Friday 9

+

Main Course PM
Monday 5 – Friday 9
   

Are you are considering package 4 or 5? Please be aware that they entail a heavy workload.

Most Main courses require additional work on top of the three classroom hours each day.

Before you book, please read the course outlines thoroughly and make sure you are confident you can cope with the schedule!

 

Short Preparatory Courses (7.5 hours over two days)

Friday 2 March
13:00–15:00 and 15:30–17:00
Saturday 3 March
A - 09:00-10:30 / 11:00-12:00 and 13:00-14:30
B - 11:00–12:00 / 13:00-14:30 and 15:00–16:30

These courses offer a quick introduction, or refresher, to tools that will be useful for further courses. Typically, they are software training in preparation for a data analysis course.

Course Code Course Title Instructor Time Outline
WA101 Philosophy and Methodology of the Social Sciences: A Pluralistic Framework Robert Adcock TBC Course outline
WA102 Successful Research Project Management: Hands-on Tools Benoît Rihoux TBC Course outline
WA103 Tools for the Analysis of Complex Social Systems: An Introduction Lasse Gerits TBC Course outline
WA104 Programming in LaTeX for Social Scientific Document Preparation Manuel Bosancianu TBC Course outline
WA105 Programming in the Social Sciences: Web Scraping, Social Media, and New (Big) Data with Python Holger Döring TBC Course outline
WA106A Introduction to R (entry level) Thorsten Schnapp TBC Course outline
WA106B Introduction to R (for participants with some prior knowledge in command-line programming) Florian Weiler TBC Course outline
WA107 Introduction to Stata Kerstin Hoenig TBC Course outline
WA108 Introduction to z-Tree, a Software Package for Designing and Implementing Laboratory Experiments Wolfgang Luhan TBC Course outline
WA109 Introduction to MPlus Levi Littvay TBC Course outline
WA110 Introduction to Discourse Network Analysis (DNA) Philip Leifeld TBC Course outline
WA111 Combining Data From Different Sources: Different Techniques, Different Worlds Susanne Rässler TBC Course outline
WA112 Weighting Techniques to Handle Survey Nonresponse (Advanced) Hans-Walter Steinhauer TBC Course outline
WA113 Maximum Likelihood Estimation Susumu Shikano TBC Course outline
WA114 Introduction to Qualitative Data Analysis with Atlas.ti Johannes Starkbaum TBC Course outline
WA115 Introduction to NVivo for Qualitative Data Analysis Marie-Hélène Paré TBC Course outline
WA116 Introduction to MAXQDA, a Qualitative and Mixed Methods Data Analysis Software Francisco Freitas TBC Course outline

Main courses AM or PM (3 hours a day) and Master courses (5 hours a day)

Monday 5 – Friday 9 March 2018

You cannot take a Main course with a Master course but you can take two Main courses, AM + PM.

If you want to take two Main courses, AM + PM, please read the course outlines thoroughly. Most Main courses require additional work outside of the standard classes of three hours a day.

If in doubt, contact the Instructors or the Academic Convenor, Benoît Rihoux.

There are four types of Main or Master course:

Research design/fundamentals An ‘upstream’ course enabling you to think about your research more broadly, so you can make informed choices about specific methods/techniques

Data collection/generation A hands-on course focused on a specific method (or family of methods) for data collection or generation

Data analysis (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 (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.
 

AM COURSES WB102 WB104 WB105 WB107 WB109 WC204 WD101 WD201 WD202 WD206
WD207 WD208 WD209 WD211 WD212 WD213 WD214 WD216 WD217  
PM COURSES WB101 SB103 WB106 WB108 WC102 WC104 WD204 WD102 WD215  

Research design/fundamentals

Course Code Course Title Instructor Time Session Outline
WB101 Working with Concepts in the Social Sciences Frederic Schaffer 14:00–17:30 PM Course outline
WB102 Comparative Research Designs Benoît Rihoux 09:00–12:30 AM Course outline
WB103 Historical Methods for Social Scientists Robert Adcock 14:00–17:30 PM Course outline
WB104 Introduction to Process Tracing Hilde Van Meegdenburg 09:00–12:30 AM Course outline
WB105 Introduction to Qualitative Interpretive Methods Marie Østergaard 09:00–12:30 AM Course outline
WB106 Experimental Methods Wolfgang Luhan 14:00–17:30 PM Course outline
WB107 Linear Regression with R/Stata: Estimation, Interpretation and Presentation Manuel Bosancianu 09:00–12:30 AM Course outline
WB108 Introduction to Statistics for Political and Social Scientists Florian Weiler 14:00–17:30 PM Course outline
WB109 Game Theory for Social Scientists Florence So 09:00–12:30 AM Course outline
WD203 Process Tracing Methods Derek Beach 09:30–12:30; 
14:00–16:00
MASTER
AM & PM
Course outline
WD204 Advanced Topics in Set-Theoretic Methods and QCA Carsten Schneider 14:00–17:30 PM Course outline
WD205 Advanced Multi-Method Research Ingo Rohlfing 09:30–12:30; 
14:00–16:00
MASTER
AM & PM
Course outline

Data collection/generation

Course Code Course Title Instructor Time Session Outline
WC101 Introduction to Quantitative Text Analysis Lea Sgier 09:30–12:30; 
14:00–16:00
MASTER
AM & PM
Course outline
WC102 Focus Groups – From Qualitative Data Generation to Analysis Virginie Van Ingelgom 14:00–17:30 PM Course outline
WC103 Online Qualitative Methods & Ethnography [working title] Bojana Lobe 14:00–17:30 PM Course outline
WC104 Survey Design Kathrin Thomas 09:00–12:30 AM Course outline

Data analysis (introductory)

Course Code Course Title Instructor Time Session Outline
WD101 Introduction to Quantitative Text Analysis Kostas Gemenis 09:00–12:30 AM Course outline
WD102 Introduction to Applied Social Network Analysis Dimitris Christopoulos 14:00–17:30 PM Course outline

Data analysis (advanced)

Course Code Course Title Instructor Time Session Outline
WD201 Analyzing Political Language Dvora Yanow AM 09:00–12:30 Course outline
WD202 Advanced Qualitative Data Analysis Marie-Hélène Paré AM 09:00–12:30 Course outline
WD206 Advanced Discrete Choice Modelling Paul Thurner AM 09:00–12:30 Course outline
WD207 Interpreting Binary Logistic Regression Models Markus Wagner AM 09:00–12:30 Course outline
WD208 Inferential Network Analysis Philip Leifeld AM 09:00–12:30 Course outline
WD209 Introduction to Bayesian Inference Susumu Shikano AM 09:00–12:30 Course outline
WD210 Panel Data Analysis: Hierarchical Structures, Heterogeneity and Serial Dependence TBC TBC TBC Course outline
WD211 Introduction to Bayesian Inference Michael Gebel AM 09:00–12:30 Course outline
WD212 Handling Missing Data Susanne Rässler AM 09:00–12:30 Course outline
WD213 Multilevel Regression Modelling Levi Littvay AM 09:00–12:30 Course outline
WD214 Structural Equation Modelling (SEM) with R Ulrich Schröders AM 09:00–12:30 Course outline
WD215 Time Series Analysis David Pupovac PM 14:00–17:30 Course outline
WD216 Analyzing Political and Social Sequences Philippe Blanchard AM 09:00–12:30 Course outline
WD217 Event History and Survival Analysis Janez Stare AM 09:00–12:30 Course outline

Registration

Registration closes at midnight on Monday 18 December. Once you have registered you cannot make changes yourself, but email methodsschool@ecpr.eu and we will amend your registration for a €25 admin fee.

Late registration fee

Registrations after Monday 18 December will incur a €50 late registration fee.

Certificate of attendance

Provided you attend 80% of the course hours, we will email you a certificate of attendance for each course attended, after the Winter School.

Waiting list

To be placed on a waiting list for cancellations on a fully booked course, email methodsschool@ecpr.eu.