Enabling practitioners, service managers and commissioners to understand and interpret data from questionnaire-based outcome measures.

This webinar reviews key statistical concepts, methods for analysing data and displaying change, and approaches to working with and interpreting messy or poor quality data.

Including modules on

  • Understand how to interpret measures data at an individual and aggregate level

  • Key statistical terms and concepts

  • An introduction to data visualisation

  • Different methods for analysing and displaying change

  • How to interpret messy or poor quality data, and use it in a responsible way

Who is this course suitable for?

The course is suitable for professionals who use, or wish to use, data from questionnaire-based outcome measures in their work and who would like to strengthen their understanding of common types of analysis used with this data, as well as how to discuss real-world data in a responsible way. It is not intended for those who are already familiar with analysis, or who analyse data in their current role.

Please note, the prices below are subject to VAT.

Click here to read CORC Booking Terms and Conditions

We use the payment processing company 'Worldpay' for our training bookings. 

Cost

Full members Associate members Non-members

Free
(Up to 3 spaces per training/event)

Free
per person

£30
per person

Book Places


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Lee Atkins

Regional Officer

As Regional Officer for the Midlands and South West, Lee seeks to support organisations and services to develop their evidence based and outcome focused approach for service improvement. Lee developed his passion for this work supporting the mental health and well-being of children and young people over 12 years across voluntary and statutory sectors. This experience gave him a keen understanding of the needs of children, young people and their families (CYPF) and a commitment to putting them at the centre of all support for them. Lee is excited by the variety and diversity of work that takes place for CYPF and seeks to better understand, to demonstrate and to improve the effectiveness of this support.

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