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
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:
http://www.cmist.manchester.ac.uk/study/courses/short/introductory/intro-to-data-analysis-2/
Region:
North West
Keywords:
Survey and Questionnaire Design
Related publications and presentations:
Survey and Questionnaire Design