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.
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As Programme Manager for CORC, Nick works directly with members as well as on a range of projects in collaboration with CORC partner organisations. Nick joined CORC after working in schools, first as a teacher and then as head teacher of a large London primary school. Through his work with children he saw the importance of effective support for children’s mental health and wellbeing and worked with partner organisations to develop practice in school. He is particularly interested in the wellbeing of the most vulnerable children.
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