The MoodWheel app: validation and factor structure of a new tool for the assessment of mood based on the experience sampling method.

Abstract

Background: The MoodWheel app is a newly developed tool that uses experience sampling method (ESM) for assessing negative and positive emotions, based on the circumplex model of emotions and the binary model of distress, and including behavioral and heart rate (HR) measurement via photoplethysmography and the possibility to personalize the application with additional measures. Aims: This study was designed to assess the factorial structure, reliability and validity of the MoodWheel (MW) application for evaluating emotions in children, adolescents.

Methods: A sample of 490 children and adolescents were recruited from the schools. Internal consistency was assessed via Cronbach's alpha test. Concurrent validity was assessed by evaluating the correlations between MW and Profile of Emotional Distress scale (PED) scores, in terms of functional/dysfunctional negative and positive emotions.

Results: Results obtained show that MW has good to excellent internal consistency and test-retest reliability, while the convergent validity was also adequate. Moreover, we found support for the organization of the MW based on the binary model of distress, given the predictive value found for the irrational and rational beliefs.

Conclusions: The MW application is a useful and easy to use tool that can be used for the accurate measurement of emotions, which will be complimented in future with additional behavioral parameters to provide a comprehensive and dynamic assessment.