- Department: Health Sciences
- Credit value: 10 credits
- Credit level: M
- Academic year of delivery: 2022-23
Pre-requisite modules
- None
Co-requisite modules
- None
Prohibited combinations
Occurrence | Teaching period |
---|---|
A | Autumn Term 2022-23 |
To provide students with basic skills to carry out their own research projects including designing a questionnaire, collecting data, processing and undertaking basic statistical analysis in SPSS. The students will also gain the ability to read health research papers and will be introduced to the basic ideas of statistical analysis and presentation.
Upon completion of the module, students should know, understand or be able to do the following:
Sessions will include:
Questionnaire design: Importance of clarity and fairness, types of question, scales, validity, coding, sensitive questions. Design of a health questionnaire. Sample size determination.
Summary statistics, normal distribution and introduction to SPSS: Simple data summaries in SPSS. The normal distribution, standard errors, quantiles and variance. Distribution of questionnaires and discussion of formative assessment.
Comparing means: Independent t tests. Confidence intervals and p-values.
Comparing means: One sample t test and paired t tests. Forest plots as used in trial reports.
Correlation: Scatter diagrams and correlation coefficients.
Chi-squared and Fisher’s exact tests: Chi-squared and Fisher’s exact tests, including SPSS crosstabs.
Statistics in practice: Critical appraisal of statistical methods covered in this module in published research.
Task | % of module mark |
---|---|
Online Exam - 24 hrs (Centrally scheduled) | 100 |
None
Task | % of module mark |
---|---|
Online Exam - 24 hrs (Centrally scheduled) | 100 |
Students are provided with collective exam feedback relating to their cohort, within the timescale specified in the programme handbook.