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

CORC Booking Terms and Conditions

Cost

Full members Associate members Non-members

Free
(Up to 3 spaces per training/event)

£75
per person

£200
per person

Book Places


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Victoria Zamperoni

Research Officer

Victoria is Research Officer at CORC, and has over 5 years of experience working as part of multidisciplinary research teams to design and conduct research projects and analyse mental health data using both qualitative and quantitative research methods. Her current role at CORC involves supporting child and adolescent mental health services in the successful implementation of routine outcome monitoring, providing advice on the effective use of outcome measures for service evaluation and improvement purposes. She has previously assisted with the development of an integrated outcomes framework covering children’s mental health, physical health, education and social care and is experienced with the challenges of monitoring a diverse range of outcomes in a responsible, meaningful way.

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