methods@manchester summer school 2019 - Research Methods in Political Economy

Date:

01/07/2019 - 05/07/2019

Organised by:

methods@manchester

Presenter:

Prof Wendy Olsen
Dr Daniel Bailey

Level:

Entry (no or almost no prior knowledge)

Contact:

methods@manchester
email: methods@manchester.ac.uk
telephone: 01612754269

Map:

View in Google Maps  (M13 9PL)

Venue:

The University of Manchester
Oxford Road, Manchester

Description:

Overview

This five day workshop will equip scholars with the methodological tools for acquiring empirical knowledge in political economy and the theoretical tools for questioning the validity and limits of the knowledge produced.

It will begin with a brief exploration of the ontological and epistemological foundations of knowledge production, and then feature a series of intense workshop on different methodological approaches and techniques. This includes the quantitative approaches, such as Stata regression analyses and NVivo coding, as well as qualitative approaches, such as social network analysis and the conducting of semi-structured elite interviews. These sessions entail a combination of lectures, practical work and feedback. The course will then conclude with the utilisation of these techniques in your own specific research projects, presentations of your work, and a discussion of methodological strengths and weaknesses in each case.

 

Course objectives

To allow political economy scholars to develop or refine their methodological skills.

 

Prerequisites
None

Cost:

Students - £600
University of Manchester Staff - £600
Other attendees - £900

Website and registration:

Region:

North West

Keywords:

Frameworks for Research and Research Designs, Epistemology, Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Network analysis, Political Economy

Related publications and presentations:

Frameworks for Research and Research Designs
Epistemology
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Network analysis

Back to archive...