This one-day course is the first in the "Survey Design & Analysis" stream and is aimed at those who need to learn about collecting data using a survey and analysing tabulations of the data collected. 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.

This course will look at good practice in survey and questionnaire design. It will examine aspects of surveys such as how researchers can design them so as to make them attractive to their target respondents, how researchers can ask specific "awkward" questions in a way that will encourage responses and how researchers can structure questions to achieve clarity and avoid multiple purposes in a single question. It will also look at different approaches and considerations for sample selection, in order choose the best method of distributing your survey and how to get the right people to answer it. It will also methods for summarising and analysing categorical and ordinal data, including Chi-squared and nonparametric methods. These topics will be demonstrated using Excel and SPSS.

If you are interested in this course you may also be interested in our Survey Design & Analysis 2: Data Analysis, Sample Size & Power 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 course or already have a good knowledge of the material in that course.

There is no formal assessment as part of this course.