In August 2014, The Cathie Marsh Institute for Social Research (CMISt) was launched. It combines the strengths of two existing research centres in Social Sciences at The University of Manchester, the Cathie Marsh Centre for Census and Surveys Research (CCSR) and the Institute for Social Change (ISC).
On the new website you can browse the full range of short courses we have on offer, categorised as introductory, intermediate and advanced. Some courses run more than once a year. At present we have 33 confirmed courses running in the 14/15 academic year. Jackie Carter is the new CMIst Short Courses Director.
Upcoming Short Courses for OCTOBER 2014
All bookings for upcoming courses can be made here. The following courses, all held in Manchester, will run October to December (some also run again in 2015). Please share with colleagues and students and visit the website for details of courses in 2015.
Foundation Skills for Data Analysts: 1st Oct 2014 – a foundation course for participants with no previous experience in statistics or statistical analysis software. It will introduce key concepts such as: cases, variables, values and levels of measurement. This course will provide participants with the appropriate background to progress to other CMIst courses: i.e. Introduction to Data Analysis 1 and Introduction to Data Analysis 2.
Introduction to Data Analysis 1: 2nd Oct 2014 or 19 Mar 2015 – provides an introduction to the theory and methods of quantitative data analysis, focussing on the social survey. It has an emphasis on hands-on learning, with a series of practical sessions using a statistical software package such as SPSS to explore the British Social Attitudes Survey Dataset.
Introduction to Data Analysis 2: 3rd Oct 2014 or 20th Mar 2015 – provides an introduction to the theory and methods of quantitative data analysis of relationships between variables, focussing on the techniques of Chi-square tests, correlation and linear regression.
Introduction to Stata: 8 Oct 2014 or 20 Jan 2015 – provides an introductory training in STATA, a statistical package increasingly used for social research data analysis which has powerful data manipulation procedures and extensive and powerful statistical capabilities
Multiple Linear Regression: 14 Oct 2014 – provides a thorough grounding in the theory and methods of multiple linear regression including: model selection, non-linear relationships, dummy variables, interaction terms and assumption testing. The course comprises taught and practical components in about equal proportions. The course is designed for users of survey data with some experience of data analysis and who are comfortable using SPSS and who want to expand their understanding of more sophisticated techniques.
Logistic Regression: 15th Oct 2014 – examines the fitting of models to predict a binary response variable from a mixture of binary and interval explanatory variables. The approach is illustrated using examples from a social science perspective, including cases where logistic regression models are used as a means of analysing tabular data where one of the dimensions of the table is a two-category outcome variable. You will also learn how to fit a logistic regression model, and how to interpret the results.
Basic Maths for Social Statistics: 24th Oct 2014 – covers the following essential topics in mathematics: back to basics (percentages, proportions, averages), data and tables, describing and visualising data, measures of spread, transforming data, concepts in algebra and common symbols, geometry of a straight line, limits and continuity, derivatives and more, maximisation in statistics, correlations, vectors and matrices, solving a multivariate regression problem. There will be exercises and examples of the use of these concepts in mathematics for statistical applications.