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# Introduction to Health Statistics - HEA00091M

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• Department: Health Sciences
• Module co-ordinator: Prof. Catherine Hewitt
• Credit value: 10 credits
• Credit level: M
• Academic year of delivery: 2022-23

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## Module will run

Occurrence Teaching cycle
A Autumn Term 2022-23

## Module aims

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.

## Module learning outcomes

Upon completion of the module, students should know, understand or be able to do the following:

1. Be able to critically appraise the design of a questionnaire.
2. Demonstrate understanding of basic statistical analysis.
3. Be able to select and conduct the appropriate statistical analysis for a research question.
4. Know which output from basic summaries and statistical analysis should be presented and the appropriate format to use.
5. Be able to appraise the appropriateness and interpretation of basic statistical analysis in health research papers.

## Module content

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.

## Assessment

Task Length % of module mark
Online Exam
Introduction to Health Statistics
N/A 100

None

### Reassessment

Task Length % of module mark
Online Exam
Introduction to Health Statistics
N/A 100

## Module feedback

Students are provided with collective exam feedback relating to their cohort, within the timescale specified in the programme handbook.