Survey Design & Analysis 2: Data Analysis, Sample Size & Power (In-person course)

Date:

15/02/2024

Organised by:

University of Hertfordshire

Presenter:

Prof Neil H. Spencer

Level:

Intermediate (some prior knowledge)

Contact:

Prof. Neil Spencer
statistics@herts.ac.uk

Map:

View in Google Maps  (AL10 9EU)

Venue:

de Havilland campus,
University of Hertfordshire,
Hatfield,
Hertfordshire,
AL10 9EU.

Description:

This one-day course is the second in the "Survey Design & Analysis" stream and is aimed at those who need to learn about analysing survey-type data using hypothesis tests, and the relationship between sample size and the power of statistical tests. If you are not sure whether this stream or our "Quantitative Data Analysis" stream is most appropriate for your work, you are encouraged to attend the Getting Started with Statistics course first, either in-person or online.

The methods covered include hypothesis testing, one-way analysis of variance (ANOVA), regression and other methods for survey-type data. These topics will be demonstrated using Excel and SPSS. The course will also explore sample size issues including the relationship between power and effect size, making use of the G*Power software.

If you are interested in this course you may also be interested in our Survey Design & Analysis 1: Collecting, Summarising & Analysing Survey Data course.

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.

It is assumed that delegates have attended the Getting Started with Statistics and Survey Design & Analysis 1: Collecting, Summarising & Analysing Survey Data courses or already have a good knowledge of the material in those courses.

Cost:

£199

Website and registration:

Register for this course

Region:

East of England

Keywords:

Statistical Theory and Methods of Inference, Power analysis, Excel, SPSS, G*Power software


Related publications and presentations from our eprints archive:

Statistical Theory and Methods of Inference
Power analysis
Excel
SPSS

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