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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: Jack Bailey
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: methods@manchester.ac.uk) for a Bursary application form for any general course enquires please contact cmi-shortcourses@manchester.ac.uk

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

Outline

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. 

Objectives

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

Prerequisites

Participants should have a basic familiarity with a statistical software package (e.g R or PSPP). 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

Jack Bailey is a doctoral researcher at the University of Manchester’s Department of Politics. His research focuses on how voters update their opinions in light of economic change and how this process affects their voting behaviour. Prior to starting his PhD, Jack completed the University’s MSc in Social Research Methods and Statistics. He also worked at Cardiff University and the London School of Economics and Political Science communicating research findings to the general public. This interest remains, and motivates his approach to teaching statistics to non-specialist audiences.

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