Module Descriptors
SURVEY DESIGN AND STATISTICAL DATA ANALYSIS
MATH70344
Key Facts
Faculty of Computing, Engineering and Sciences
Level 7
15 credits
Contact
Leader: Emily Raeburn
Email: E.Raeburn@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- REPORT weighted at 50%
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
Module Details
Module Additional Assessment Details
A report 1500 words weighted at 50%. An exam (length 2 hours) weighted at 50%.
1. Write a research specification giving details of how you would conduct a survey on a topic of your choice on a major scale and briefly discuss the ethics associated with conducting such a survey. You can work alone or in a group of two for this assignment. A small data file must also be submitted with the report. Learning outcomes 1, 2 and 3.
2. An exam covering the analysis and interpretation of survey data. Learning outcomes 3 and 4.
1. Write a research specification giving details of how you would conduct a survey on a topic of your choice on a major scale and briefly discuss the ethics associated with conducting such a survey. You can work alone or in a group of two for this assignment. A small data file must also be submitted with the report. Learning outcomes 1, 2 and 3.
2. An exam covering the analysis and interpretation of survey data. Learning outcomes 3 and 4.
Module Indicative Content
Defining survey objectives- what are the aims of this survey?
Sampling strategies-who to ask, how many to ask, how to ask.
Questionnaire design (to include OMR and web based) and the use of various attitude scales to measure opinions and attitudes including reliability measures.
Data entry, exploratory data analysis and the presentation and interpretation of tables, percentages and descriptive statistics using a statistics package eg SPSS.
Introduction to sampling theory. Hypothesis testing (parametric & non-parametric).
Using graphical output to display results and relationships.
Report writing and presentation.
Sampling strategies-who to ask, how many to ask, how to ask.
Questionnaire design (to include OMR and web based) and the use of various attitude scales to measure opinions and attitudes including reliability measures.
Data entry, exploratory data analysis and the presentation and interpretation of tables, percentages and descriptive statistics using a statistics package eg SPSS.
Introduction to sampling theory. Hypothesis testing (parametric & non-parametric).
Using graphical output to display results and relationships.
Report writing and presentation.
Module Learning Strategies
The delivery method will be one hour lecture, a two hour practical/lab session using SPSS, and a one hour workshop.
Learning will take place via 12 hours of lectures/problem sessions (whole group) and 24 hours of laboratory sessions.
Learning will take place via 12 hours of lectures/problem sessions (whole group) and 24 hours of laboratory sessions.
Module Resources
SPSS.
Excel.
Internet.
Excel.
Internet.
Module Special Admissions Requirements
A knowledge of introductory statistics.
Module Texts
1) Quantitative Data Analysis Using SPSS, OUP 2008, Pete Gresley, ISBN-10:0-335-22305-2
2) SPSS Survival Manual, 3rd Ed, OUP 2007, Julie Pallant, ISBN-10: 0-335-22366-4
3) Discovering Statistics Using SPSS, Sage 2005, Andy Field, ISBN: 0-7619-4452-4
4) Designing Surveys, Sage, 2005, Ronal Czaja & Johnny Blair, ISBN: 0-7619-2746-8
5) Improve your Maths, Addison-Wesley, 1998, G Bancroft & M Fletcher, ISBN: 0-7619-5755-3
2) SPSS Survival Manual, 3rd Ed, OUP 2007, Julie Pallant, ISBN-10: 0-335-22366-4
3) Discovering Statistics Using SPSS, Sage 2005, Andy Field, ISBN: 0-7619-4452-4
4) Designing Surveys, Sage, 2005, Ronal Czaja & Johnny Blair, ISBN: 0-7619-2746-8
5) Improve your Maths, Addison-Wesley, 1998, G Bancroft & M Fletcher, ISBN: 0-7619-5755-3