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By the Academic Convenors: Derek Beach, Levi Littvay and Benoît Rihoux
The ECPR Methods School is designed to offer a broad variety of courses that cater for the needs of researchers in political science and other neighbouring social scientific disciplines. These courses can either be followed on a stand-alone basis or in a sequence that constitutes a ‘training track’ over one or more ECPR Methods School (Winter School in March and Summer School in July/August).
The ECPR Methods School offers six different types of courses across the two Schools (the more popular courses are offered both at the Winter and Summer Schools):
At the Winter School you can take up to two courses: one two-day 7.5 hour Preparatory short course and one five-day 15 hour course.
At the Summer School you can take up to three courses through the following formats:
Considering the options above and the number of courses offered within each course type and within each single event, there are many options for study across single or multiple events. Over two consecutive Schools, it is possible to attend up to five courses. It is also possible for you to construct your own training track across non-successive events.
With so many options available it can be difficult to know where to start planning your training at the ECPR Methods School, but the tips below might help!!
How to think about the most useful training track for you? Practical tips and notes of caution
There are many options for you to choose to suit your project(s), so we have provide some guidelines for you to consider:
If you have already identified a course you want to attend but are unsure which course(s) you should choose next, you might find some hints in the detailed course outlines, in particular the ‘prerequisite knowledge’ section. You can also contact the Instructors for advice about the right training track to suit your needs.
The examples below are based on the courses offered at the Summer School 2014 and Winter School 2015. The course list for Summer School 2015 has yet to be finalised but it is likely the courses offered at the Summer School 2015 will be similar to the Summer School 2014.
Preparatory Short course | ⇒ | Research design /fundamentals course |
Introduction to R | ⇒ | Causal Inference for Political and Social Sciences |
Preparatory Short course | ⇒ | Data collection/generation course |
Introduction to NVivo | ⇒ | Field Research |
Preparatory Short course | ⇒ | Data analysis course (introductory or advanced) |
Introduction to R | ⇒ | Quantitative Text Analysis |
Intensive Refresher course | ⇒ | Research design /fundamentals course |
Basics of Inferential Statistics for Political Scientists | ⇒ | Research Designs |
Intensive Refresher course | ⇒ | Data analysis course (introductory 2-week) |
Basics of Inferential Statistics for Political Scientists | ⇒ | Multivariate Statistical Analysis and Comparative Crossnational Surveys Data |
Research design/fundamentals course (week 1) | ⇒ | Data analysis course (introductory week 2) |
Process Tracing Methodology I – Foundations and Design | ⇒ | Qualitative Data Analysis: Methods and Procedures |
Data collection/generation course (week 1) | ⇒ | Data analysis course (introductory week 2) |
Focus Groups – From Qualitative Data Generation to Analysis | ⇒ | Content Analysis |
Data analysis course (introductory or advanced, week 1) | ⇒ | Data analysis course (introductory week 2) |
Multiple Regression Analysis: Estimation, Diagnostics and Modelling | ⇒ | Advanced Topics in Applied Regression II: Operationalisation, Measurement, Weighting and Non-Response Correction |
Intensive Refresher course | ⇒ | Data analysis course (introductory or advanced, week 1) | ⇒ | Data analysis course (introductory or advanced, week 2) |
Linear Algebra and Calculus | ⇒ | Applied Multilevel Modelling: Multilevel Linear Models for Continuous Data | ⇒ | Introduction to Generalized Linear Modelling |
Preparatory short course | ⇒ | Data collection/ generation course | ⇒ | Research design/fundamentals course (week 1) | ⇒ | Data analysis Course (introductory, week 2) |
Introduction to NVivo | ⇒ | Interpretative interviewing | ⇒ | Strategies of Interpretive/ Qualitative Political Research | ⇒ | Analysing Discourse II – Analysing Politics: Theories, Methods and Applications |
Preparatory short course | ⇒ | Data collection/ generation course | ⇒ | Data collection/ generation course (week 1) | ⇒ | Data analysis Course (introductory, week 2) |
Introduction to NVivo | ⇒ | Field Research | ⇒ | Issues in Political, Policy, and Organizational Ethnography | ⇒ | Analysing Discourse II – Analysing Politics: Theories, Methods and Applications |
Preparatory short course | ⇒ | Data collection/ generation course | ⇒ | Data analysis course (introductory or advanced, week 1) | ⇒ | Data analysis course (introductory or advanced, week 2) |
Introduction to R | ⇒ | Survey design | ⇒ | Multiple Regression Analysis: Estimation, Diagnostics and Modelling | ⇒ | Advanced Topics in Applied Regression II: Operationalisa-tion, Measurement, Weighting and Non-Response Correction |
Preparatory short course | ⇒ | Data collection/ generation course | ⇒ | Data analysis course (2-week) |
Introduction to R | ⇒ | Survey design | ⇒ | Multivariate Statistical Analysis and Comparative Crossnational Surveys Data |
Preparatory short course | ⇒ | Research design/fundamentals course | ⇒ | Data analysis course (2-week) |
Introduction to STATA | ⇒ | Causal Inference for Political and Social Sciences | ⇒ | Multiple Regression Analysis and Generalised Linear Modelling |
Data collection/generation course (wk 1) | ⇒ | Data analysis course (introductory, wk 2) | ⇒ | Preparatory short course | ⇒ | Data analysis course (introductory/advanced) |
Expert Interviews for Qualitative Data Generation | ⇒ | Content Analysis | ⇒ | Introduction to NVivo | ⇒ | Advanced Qualitative Data Analysis |
Data analysis course (introductory/advanced, wk 1) | ⇒ | Data analysis course (introductory/advanced, wk 2) | ⇒ | Preparatory short course | ⇒ | Data analysis course (advanced) |
Multiple Regression Analysis: Estimation, Diagnostics & Modelling | ⇒ | Advanced Topics in Applied Regression II: Operationalisa-tion, Measurement, Weighting and Non-Response Correction | ⇒ | Combining data from different sources: different techniques, different worlds | ⇒ | Multilevel Regression Modelling |
There are multiple ways to sequence your participation across three or more Schools. Whilst this would typically be across three consecutive venues it is also possible to attend non-consecutive Schools, as illustrated below:
If you have any doubts or need assistance creating your training track, we suggest you contact the respective instructors, as well as the Methods School Academic Convenors.