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The inaugural Manchester Methods Summer School will be held at the University of Manchester from June 17 -21, 2013.
The school will offer a range of intensive courses on research methods, taught by experts in each field. The selection includes software training, qualitative and quantitative analysis, area studies, and research design. The course content will be based on approaches from across the various schools in the Faculty of Humanities at the University of Manchester, but would suit student in health sciences, business studies, law, and other areas.
In its first year, the school will run for one week, and participants will select a single course for the duration of the school. Each course will deliver four days of content to a five-day timetable (Monday afternoon to Friday lunch-time, unless otherwise stated ), building on successful methods@manchester and CCSR short-courses given throughout the year.
The courses on offer for 2013 are:
Advanced Structural Equation Modelling and Generalized Latent Variable Modelling - Generalized Latent Variables Modelling (GLVM) extends Structural Equation Modelling (SEM) by seamlessly integrating models for continuous and discrete observed variables as well as continuous and discrete latent variables. This course introduces GLVM using the Mplus statistical package.
Presumed knowledge: This course assumes that students are experienced users of linear and logit/probit regression models. Familiarity with latent variable models (e.g. Factor Analysis, Latent Class Analysis) would be an advantage but the course does not assume it. No prior experience with Mplus is assumed. Experience of using text-based command files, such as SPSS Syntax files or Stata Do files, would be an advantage as Mplus uses similar text-based command files.
Introduction to social network analysis using UCINET and Netdraw - This is an introductory course, covering the concepts, methods and data analysis techniques of social network analysis. This is a hands on course largely based around the use of UCINET software, and will give participants experience of analyzing real social network data using the techniques covered in the workshop. No prior knowledge of social network analysis is assumed for this course.
Advanced methods for social network analysis - This course assumes basic statistical knowledge such as regression and familiarity with R together with a basic knowledge of social network analysis as given in the introductory course (see above).
Romani Studies - This is an introductory course, covering the state of the art of current research into the history, social organisation, culture and recent political mobilisation of the Romani populations of Europe. The course addresses non-specialists and is open to participants with an interest in a wide range of disciplines. It does not presuppose familiarity either with Romani culture or with tools of analysis in any particular discipline. (Please note: This course will be offered on a different timetable to the rest of the school. See course page for details).
Hands-on, participatory and visual: Ketso as a research method - Ketso is a hands-on kit for creative engagement, developed by Dr. Joanne Tippett from her research at the University of Manchester. Ketso is an ideal tool for managing focus groups and other consultations, as it gives everyone a voice and helps participants to express their ideas – even those who find it difficult to talk in front of groups. (No prior knowledge of participatory research, facilitation, or Ketso is assumed for this course).
Emma Fraser | Project Administrator|
methods@manchester| CCSR |The University of Manchester|Humanities Bridgeford Street |Oxford Road
|Manchester| M13 9PL