Oxford Spring School in Social Science Research Methods

Description:

Programme Overview

Oxford Spring School offers students from universities across the UK and abroad a unique venue to learn cutting-edge methods in the social sciences, with a variety of advanced courses which place the different data analysis techniques within broader disciplinary trends towards mixed-methods research designs.

Funding

We are delighted to be able to offer bursaries for eight postgraduate students from Higher Education Institutions in the United Kingdom (excluding University of Oxford) as well as a subsidised course fee for eight University of Oxford postgraduate students. Offers will be made on merit. Please see further information at http://www.politics.ox.ac.uk/spring-school/fees-and-funding.html?schoolid=517

Course Options

Course options include a choice between sets of increasingly popular and influential methods/techniques in the discipline:

·         Computerised Text Analysis

·         Causal Inference

Other options will be:

·         Process Tracing

·         Survey Design

·         Spatial Data Analysis

·         Data Visualization

Participants will be able to take a total of up to three different methods courses in one week, as well as two masterclass sessions on how to design and implement a research project and how to publish their research in peer-reviewed journals. Tutors will emphasise the mixed-methods philosophy underlying these courses, and the use of these techniques in different types of research designs.

Further information

http://www.politics.ox.ac.uk/spring-school/timetable.html?schoolid=517

Cost:

£600, but please also see further information at http://www.politics.ox.ac.uk/spring-school/fees-and-funding.html?schoolid=517

Website and registration:

http://www.politics.ox.ac.uk/spring-school/apply-now.html?schoolid=517

Region:

South East

Keywords:

Data Collection, Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis

Related publications and presentations:

Data Collection
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis

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