Interpreting Outcome Data in Children and Young People’s Mental Health, Birmingham

5th April 2017 5th April 2017


Impact Hub, Walker Building, 58 Oxford St, Birmingham B5 5NY Map
1 day
09:30 - 16:30



Non Member Training Fee - 10% discount for 2 + bookings, email


CORC member (free)


Associate member fee

Places available

About this course

Interpreting outcome data in children and young people’s mental health is being run by Child Outcomes Research Consortium (CORC) in partnership with the Centre

The aim of this course is to support practitioners, service managers, and commissioners to understand and interpret data from questionnaire-based outcome measures about children and young people’s mental health and wellbeing . The course reviews key statistical concepts, methods for analysing data and displaying change, and approaches to working with and interpreting messy or poor quality data.

The course will cover

  • An introduction to the importance of data visualisation and how this affects interpretation
  • An explanation of key statistical terms including “confidence intervals” and “statistical significance”
  • An overview of different methods for analysing and displaying change as measured by routine outcome tools and the pros/ cons of each
  • Discussion of how to interpret messy, or poor quality data, and how to use this data in a responsible way
  • Introduction of the MINDFUL approach for interpreting and discussing data

Practical exercise to encourage shared learning, and the application of skills/knowledge from the day.

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.

Aims of the course?

  • The learning objectives of the course are:
  • To understand the commonly used concepts: “statistical significance”, “effect size”, and “confidence intervals”
  • To understand the different ways that change over time can be analysed, and the pros/cons of these different methods
  • Be able to discuss messy, real-world data in a meaningful way


10% discount available if you book 2 or more places on Choosing and Using Measures or make 2 or more bookings across the following trainings:

If you are interested in becoming a CORC member, please visit: