Cookies

We use cookies to help us provide you with the best experience, improve and tailor our services, and carry out our marketing activities. For more information, including how to manage your cookie settings, see our privacy notice.

OK

Skip to content. | Skip to navigation

Covid-19 update: Government guidance changed on 19 July 2021 - we're currently updating our information in response to this. In the meantime, visit the government's guidance on lifting restrictions.

Community-made content which you can improve Case study from our community

Analysing data

This page is free to all
Analysis is about making sense of the data you have collected. Analysing data will help you produce evaluation findings that you will be able to report on and use.

What data analysis is

Through data analysis, you can take the ‘raw data’ you have collected and turn it into clear evaluation findings. Your findings will describe the dataset you have collected and set out how you have interpreted it. Ideally you would only collect useful data and analyse all of the dataset; sometimes, to keep things manageable you may decide not to analyse everything.

Analysing quantitative data

Analysing quantitative data (for example, numerical data that you have collected through questionnaires) will help you generate findings on how much change has occurred as a result of your work and who has experienced change.

Find out how to analyse quantitative data.

Analysing qualitative data

Analysing qualitative data (for example, descriptive data you have collected through interviews or focus groups) will help you produce findings on the nature of change that individuals or organisations you work with have experienced. You may also be able to look at what aspects of the way you work have led to change, and how and why change occurred.

Read about how to analyse qualitative data.

Page last edited Jul 28, 2017

Help us to improve this page – give us feedback.