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Cathie Marsh Institute for Social Research (CMI)

Practical Skills for Data Analysts

Dates: 18 October 2018 and 11 March 2019
Time: 10am - 4.30pm
Instructor: Sarah King-Hele
Level: Introductory
Fee: £195 (£140 for those from educational, government and charitable institutions). 

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

This course will show participants how to use statistical analysis software. In the course, participants will be introduced to the SPSS environment as well as useful key concepts (such as cases, variables, values, and levels of measurement) to perform basic descriptive data analysis. By the end of the day, participants will be familiar with the software; know how to open a data file, enter data, and do basic data manipulations; and be able to produce simple descriptive statistics, one- and two-way tables, as well as simple graphs.

This is a foundation course that does not require any previous knowledge and will provide participants with the appropriate background to progress to other CMI courses, particularly Introduction to Data Analysis 1 and Introduction to Data Analysis 2.

Objectives

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

  • How to open and explore data sets.
  • Key procedures for data manipulation including sub-setting and variable recoding.
  • Procedures for producing simple descriptive statistics for all or subsets of your cases.
  • Procedures for producing graphical output.

Prerequisites

None.

Recommended reading

Field, A. (2009) Discovering Statistics Using SPSS for Windows. London, SAGE Publications.
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 government surveys see the UK Data Service website.

About the instructor

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