Introduction to Data Analysis 2

Date:

03/10/2014

Organised by:

University of Manchester

Presenter:

Dr Sarah King-Hele

Level:

Entry (no or almost no prior knowledge)

Contact:

Short courses administrator; cmist-courses@manchester.ac.uk

Map:

View in Google Maps  (M13 9PL)

Venue:

Humanities Bridgeford Street, Oxford Road, Manchester

Description:

Prerequisites

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.

Outline

This course 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.

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.

Recommended Reading

  • Field, A. (2012) 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 the surveys (used in the practical sessions), see the UK Data Service web site: http://ukdataservice.ac.uk/

Cost:

£195 (£140 for those from educational and charitable institutions).

Website and registration:

Region:

North West

Keywords:

Survey and Questionnaire Design

Related publications and presentations:

Survey and Questionnaire Design

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