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Cathie Marsh Institute for Social Research (CMI)

Introduction to Data Analysis 2

Dates: 16 May 2019
Time: 10am - 4.30pm
Instructor: Jennifer Prattley
Level: Introductory
Fee: £195 (£140 for those from educational, government and charitable institutions). 

CMI offers up to five subsidised places at a reduced rate of £60 per course day to research staff and students within Humanities at The University of Manchester. These places are awarded in order of application. 

Humanities PGR students at The University of Manchester can apply for a methods@manchester bursary to help cover their costs. All applications will be considered on a case-by-case basis and applicants will be required to provide a supporting statement from their supervisor.

Please contact Joshua Edgar (email: for an application form and further information.

Please note: this is not guaranteed and is considered on a case by case basis. Please contact us for more information.


This course provides an introduction to the theory and methods of quantitative data analysis. The focus is on methods for analysing relationships between variables, including Chi-square tests, correlation and linear regression. 


The course will examine relationships between variables covering:

  • The concept of statistical significance
  • The theory and execution of a simple chi-square test for relationships between categorical variables
  • How to test whether a relationship between two interval variables exists using correlation
  • How to describe relationships between variables using a statistical model based on linear regression methods
  • The use of control variables to control for confounding variables
  • The interpretation of statistical results and their use in making research conclusions


Participants should have a basic familiarity with a statistical software package (such as SPSS). Ideally, participants should also have taken Introduction to Data Analysis 1 or have equivalent experience.

Recommended reading

  • Diamond, I. and Jefferies, J. (2004) Beginning Statistics: An Introduction for Social Scientists. London, Sage Publications
  • Blaikie, N. (2003) Analyzing Quantitative Data: from description to explanation London, SAGE Publications
  • For information about the surveys (used in the practical sessions), see the UK Data Service website

About the instructor

Jennifer Prattley is a research associate in the Cathie Marsh Centre for Social Research at the University of Manchester.  After a first-year career working in mathematics education, her focus is now on applied statistics in the field of ageing and retirement research.  Issues relevant to the health, social participation and economic wellbeing of older women are of particular interest.  She maintains an interest in education and the teaching of advanced quantitative methods to non-specialists.