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Cathie Marsh Institute for Social Research (CMI)

Introduction to Statistics

Dates: 27 October 2016, 8 February 2017
Time: 10am - 4:30pm
Instructor: David Lee
Level: Introductory
Fee: £195 (£140 for those from educational, government and charitable institutions). 

The Cathie Marsh Institute (CMIST) offers five free places to research staff and students within the Faculty of Humanities at The University of Manchester and the North West Doctoral Training Centre. 
Postgraduate students requesting a free place will be required to provide a letter of support from their supervisor.

We offer up to 5 subsidised places at a reduced rate of £60 per course 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 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.

Outline

The aims of the course are to familiarise participants with some of the most commonly utilised statistical procedures using IBM SPSS and to provide an introduction to the theory and methods of inferential statistical analysis using example datasets and exercises.

By the end of the day, participants will be familiar with how to access and run a range of key statistical procedures and be able to understand and interpret output generated by IBM SPSS.

Objectives

On completing the course, participants will have covered the following:

  • Drawing inferences about populations from a sample.
  • The importance of standard errors and confidence intervals.
  • Hypothesis testing and p-values.
  • Procedures in IBM SPSS to perform chi-squared tests, t-tests, analysis of variance, correlations, linear regression and logistic regression.

Prerequisites

The course is designed for those with some previous experience of working with SPSS and individual level survey data. Ideally, participants should have taken Practical Skills for Data Analysts or have equivalent experience. No previous knowledge or experience of inferential statistics is assumed, however, a basic understanding of descriptive statistics would be helpful.

Suitable for

This course is suitable for postgraduate students, academic/research staff, charitable sector and local government staff

Recommended reading

 

  • Field, A. (2013) Discovering Statistics Using IBM SPSS Statistics. London, SAGE Publications.
  • Gray, C. D. and Kinnear, P. R. (2011) IBM SPSS Statistics 19 Made Simple. Hove, Psychology Press

 

About the instructor

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