About the Courses

The ECPR Methods School offers a broad variety of courses that cater for the needs of researchers in political science and neighbouring disciplines. The Summer School offers five types of courses, each designed to complement the others thus providing a full and comprehensive package of tuition (a further 'Preparatory' short course is available at the Winter School only).

The Summer School programme starts with Short 3-day Intensive Refresher courses held on the 28, 29 and 30 July, followed by a choice of four different types of Main courses, each lasting five or 10 days which run from the 1 to 12 August.

You can choose from the following course / combinations:

  • Short 3-day Intensive Refresher course
  • Week-one or week-two course
  • Week-one and week-two course 
  • Two-week course
  • You can also combine a Refresher course with a week-one, week-two or two-week course (a package). Course packages offer a discounted rate compared to booking individually.

See the Course Fees page for all course fees.

 

A full list of courses is listed below. Click on the individual course code for full course details.

 

Short Intensive Refresher Courses (15 hours over 3 days) 28 - 30 July 2016

Class times: 10:00-12:00 and 14:00-17:00

The Intensive Refresher courses offering tools that will be useful for further courses. Typically it is software training, before taking a data analysis course.

Click on the individual course code below to go directly to the full details for that course.

SA101 Introduction to SPSS
SA102 Introduction to the Use of R
SA103 Linear Algebra and Calculus: Mathematical Foundations for Social Science Statistics
SA104 A Refresher of Inferential Statistics for Political Scientists
SA105 Python Programming for Social Scientists: Web Data, Scraping and Other Useful Programming Tricks
SA106 Introduction to STATA
SA107 Introduction to NVivo for Qualitative Data Analysis
SA111 Introduction to Formal Logic
SA112 Gentle Introduction to Bayesian Statistics
SA114 Geospatial Technologies for the Social Studies
SA115 Introduction to Ethnography and Field Research

 

Main courses (15 hours over 5 days or 30 hours over 10 days) 

Generally classes are either 09:00-12:30 or 14:00-17:30

Week-one courses: 1-5 August (15 hours / 3 hours per day)

Week-two courses: 8-12 August (15 hours / 3 hours per day)

Two-week courses: 1-5 August and 8-12 August (30 hours / 3 hours per day)

Please note to gain ECTS credits there may be an exam on the morning of Saturday 13 August (two-week courses only)

There are four types of Main course available at the Summer School, listed below. You can take one or two one-week courses or a two-week course on their own or combine them with one Short Intensive Refresher course (a package). Course packages offer a discounted rate compared to booking individually, please see the Course Fees page.

Click on the individual course code below for full course details.

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.

 

Research design/fundamentals course (15 hours over 5 days or 30 hours over 10 days)

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

SB100 Knowing and the Known: The Philosophy and Methodology of the Social Sciences
SB101 Research Designs
SB102 Case Study Research: Method and Practice
SB103A Process Tracing Methodology I – Foundations and Guidelines
SB103B Process Tracing Methodology II – Evidence and Empirical Testing in Practice
SB104 Qualitative Comparative Analysis and Fuzzy Sets
SB105 Mixed Methods Designs
SB107A Program Evaluation and Impact Assessment
SB107B Causal Inference in the Social Sciences
SB108 Introduction to Interpretive Research Designs
SB110 Longitudinal Case Studies

 

Data collection/generation course (15 hours over 5 days or 30 hours over 10 days)

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

SC101 Expert Interviews for Qualitative Data Generation
SC102 Field Research II: Issues in Political, Policy and Organizational Ethnography and Participant Observation

 

Data analysis course (introductory) (15 hours over 5 days or 30 hours over 10 days)

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.

SD101A Qualitative Data Analysis: Concepts and Approaches (week one)
SD101B Qualitative Data Analysis: Concepts and Approaches (week two)
SD102A Analysing Discourse – Analysing Politics: Theories, Methods and Applications Week I: Theories and Methods
SD102B Analysing Discourse – Analysing Politics: Theories, Methods and Applications Week II: Applications and In-Depth Studies
SD103 Content Analysis
SD104 Multi-Variate Statistical Analysis and Comparative Cross-National Surveys Data
SD105 Introduction to Regression Analysis
SD106 Intro to GLM: Binary, Ordered and Multinomial Logistic, and Count Regression Models
SD110 Applying the Narrative Policy Framework
SD111 Theoretically Informed Network Analysis for Social Scientists

 

Data analysis course (advanced) (15 hours over 5 days or 30 hours over 10 days)

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.

SD202 Event History and Survival Analysis
SD203 Applied Multilevel Regression Modelling
SD206 Introduction to Structural Equation Modelling
SD207 Advanced Topics in Applied Regression
SD211 Network Visualisation in GEPHI
SD301 Advanced Bayesian Statsitics for the Social Sciences
SD306 Multi-Level Structural Equation Modelling
 

"To govern is to choose" - Duc de Lévis


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