Prerequisites for Module
None.
Corequisite Modules
None.
Precluded Modules
None.
Aims of Module
To enable the student to acquire, develop and deploy statistical techniques most commonly reported in health care research.
Learning Outcomes for Module
On completion of this module, students are expected to be able to:
| 1. |
Discuss levels of measurement and their relationship to statistical analysis.
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| 2. |
Select the appropriate statistical measures to use for a particular data set.
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| 3. |
Explain statistical probability.
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| 4. |
Interpret data presented in a report.
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Indicative Module Content
Organising data; descriptive statistics, inferential statistics, significant tests. Specific statistical techniques: nonparametric techniques, t-Tests, correlation, grouping analysis, path analysis.
Indicative Student Workload
Contact Hours
| Full Time | Lectures
| 10 | Workshops
| 10 | Tutorials
| 5 |
Directed Study
| | Directed Reading
| 10 | Student centred learning
| 60 |
Private Study
| | Private study
| 55 |
| Mode of Delivery
This is a lecture-based module with supportive tutorials, practical workshops, directed and private study.
Assessment Plan
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Learning Outcomes Assessed
| | Coursework | 1,2,3,4
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Coursework consists of an Assignment.
Indicative Bibliography
| 1. | Aron A, Aron E N (1997) Statistics for behavioural and social sciences. New Jersey: Prentice-Hall Inc.
| | 2. | Clifford C & Harkin L (1997) Inferential statistics in nursing and healthcare. Edinburgh: Churchill Livingstone.
| | 3. | Coggan D (1995) Statistics in clinical practice. London: BMJ Publishing Group.
| | 4. | Miller H (1995) Descriptive statistics. Edinburgh: Churchill Livingstone.
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