Module Descriptors
SURVEY DESIGN AND STATISTICAL DATA ANALYSIS
MATH70372
Key Facts
School of Digital, Technologies and Arts
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
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 100%
Module Details
Module Resources
SPSS.
Excel.
Internet.
Excel.
Internet.
Module Special Admissions Requirements
A knowledge of introductory statistics.
Module Texts
1) Quantitative Data Analysis using SPSS, Pete Greasley, 2008, OUP, ISBN 9780225223053
2) SPSS survival manual (5th Ed), Julie Pallant, 2013, OUP , ISBN 9780335262588
3) Designing Surveys (3rd Ed), Ronal Czaja & Johnny Blair, 2013, Sage, ISBN 9781412997348
2) SPSS survival manual (5th Ed), Julie Pallant, 2013, OUP , ISBN 9780335262588
3) Designing Surveys (3rd Ed), Ronal Czaja & Johnny Blair, 2013, Sage, ISBN 9781412997348
Module Additional Assessment Details
An exam covering all content, length 2 hours weighted at 100% which will assess Learning Outcomes 1-4.
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.
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.
Module Learning Strategies
This module will be delivered over 12 weeks
Learning will take place via 12 hours of lectures (whole group) and 24 hours of laboratory sessions.
The delivery method will be a 1 hour lecture and a 2 hour practical/lab session per week
Learning will take place via 12 hours of lectures (whole group) and 24 hours of laboratory sessions.
The delivery method will be a 1 hour lecture and a 2 hour practical/lab session per week