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25 May 2027 (Available)
Apply by: 24 May 2027
May 2027
Online: Tuesday 25th - Wednesday 26th May 2027, 09:30-17:00
Course overview
This two-day course is aimed at those who need to plan and design questionnaire-based surveys and those who need to analyse the data collected. The first day covers the vital activities in designing a quality survey and obtaining a good sample, as well as some simple methods for the analysis of categorical variables. It includes the following topics.
- Defining your sample
- Choosing the right sampling methods to obtain a representative sample of the population of interest (e.g. stratified sampling, cluster sampling, multi-stage sampling)
- Designing questions to get good quality answers
- Creating graphs and charts
- Hypothesis testing and p-values
- Chi-squared tests and non-parametric methods
The second day will address the question of sample size and introduce further methods for summarising and analysing the results of your survey. It includes the following topics.
- Deciding on the sample size needed to get estimates that have sufficient precision and deliver the power required for statistical hypothesis tests
- Effect size, power, type I and type II errors, precision and confidence intervals
- Testing for differences between groups
- Investigating relationships between variables
- Fitting regression models
Excel and SPSS will be used to demonstrate the main methods used. G*Power will be introduced for more complex sample size and power calculations.
See our full range of courses (and options for bespoke courses) at https://go.herts.ac.uk/sscu or contact the course organiser, Professor Neil Spencer, at statistics@herts.ac.uk.
Accredited by
Funding
£399.00
If you are unable to pay by card and require an invoice, please email statistics@herts.ac.uk.
Why choose Herts?
1st in the UK for support and top 10 in every other section, Postgraduate Taught Experience Survey (PTES), 2024
25 mins north of London: Exciting learning and social experiences within easy access
98% of our postgraduates are in work (or further study), Graduate Outcomes, 2021/22
78% of research ranked as world-leading or internationally excellent, Research Excellence Framework (REF), 2021
Course details
Course leader
Matt Coates
Administrator
Neil Spencer
Telephone
Please email for prompt response
Course delivery
Online
Downloads
Prerequisites
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