Manchester Methods Summer School
Monday 17 June - Friday 21 June, 2013
University of Manchester, Oxford Road Campus
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 specialised courses covering a variety of topics that are relevant to postgraduate research in humanities and social sciences. The selection will include 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.
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.
Select the links below for course details and booking:
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).
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.
For up to date information, please visit the summer school website.