The Emotional Processing Scale (EPS) is a questionnaire measure of a person’s emotional processing style, their typical way of processing stress or emotional situations. It was published by Hogrefe, a leading European Psychometric Test publisher in July 2015 and is available for use by clinicians working in mental health, psychological therapy and health psychology, as well as researchers interested in the emotional life of healthy individuals and other populations.
The EPS has been developed over 12 years by an experienced team at Bournemouth University including Professor Roger Baker, Professor Peter Thomas, and Dr Sarah Thomas (BUCRU).
- identify and quantify healthy and unhealthy styles of emotional processing;
- assess the contribution of poor emotional processing to physical, psychosomatic and psychological disorders;
- provide a non-diagnostic framework to assess patients for research or therapy;
- measure changes in emotions during therapy/counselling; and
- assist therapists in incorporating an emotional component into their formulations of psychological therapy.
For more information on the EPS please see this leaflet, or visit this Q&A session with Roger Baker
For more information on the concept of Emotional Processing please see the Emotional Processing website.
There have been 4 completed PhDs at Bournemouth University on the EPS:

The effects of emotional processing on physical health










BU academic publishes in online newspaper in Nepal
Final day of the ESRC Festival of Social Science
Using Art to enhance Research
Register now to attend the 17th Annual Postgraduate Research Conference – Wednesday 3 December 2025
Portrait Concert featuring BU academic at L’Espace du Son Festival 2025, Brussels
ECR Funding Open Call: Research Culture & Community Grant – Application Deadline Friday 12 December
MSCA Postdoctoral Fellowships 2025 Call
ERC Advanced Grant 2025 Webinar
Horizon Europe Work Programme 2025 Published
Horizon Europe 2025 Work Programme pre-Published
Update on UKRO services
European research project exploring use of ‘virtual twins’ to better manage metabolic associated fatty liver disease