You will study a variety of aspects connected with the design, operation and analysis of a survey including:
Defining survey objectives
Sampling strategies, Questionnaire design
Data exploration & analysis
Interpretation & communication of results
You will look at common statistical tools such as confidence intervals, hypothesis testing (parametric & non-parametric), analysing associations/correlations, one-way ANOVA & estimation techniques.

1. Complete a survey proposal (including a draft questionnaire) giving details of how you would conduct an attitude survey on a major scale. Analyse attitude data and write a report detailing the analysis, results and conclusions. (Learning outcomes 1, 2)
2. An examination covering the content from the second half of the module. (Learning outcomes 3, 4).

The exam will be the final assessment point.

Learning will take place via 24 hours of lectures (1 a week) and 48 hours of tutorial/practical time (2 a week). Lectures will provide students with a broad overview of the indicative content and the tutorial/practical sessions will allow students to practise the material covered in the lectures through problem solving and application.

Quanitative Data Analysis Using SPSS, OUP 2008, Pete Greasley, ISBN: 0-335-22305-2
SPSS Survival Manual, OUP 2010, Julie Pallant, ISBN: 9780335242399
Designing Surveys, Sage 2005, Ronal Czaja & Johnny Blair, ISBN: 0-7619-2746-8
Discovering statistics using SPSS for Windows, Sage 2009, A Field, ISBN: 0-7619-4452-4
The basic practice of statistics, W.H. Freeman 2009, David S. Moore, ISBN: 1429224266

SPSS

A knowledge of introductory statistics