MIMEE
  • Measuring Emotional Experiences to Music – Content Validity Assessment for Episode Model Constructs

On this page

  • Semantic similarity analysis
  • Expert evaluation resource document
  • Expert evaluations: round 1
  • Expert evaluations: round 2
  • References

Measuring Emotional Experiences to Music – Content Validity Assessment for Episode Model Constructs

Authors
Affiliations

Connor Kirts

Durham University, UK

Suvi Saarikallio

University of Jyväskylä, Finland

Tuomas Eerola

Durham University, UK

Cameron J. Anderson

McMaster University, Canada

Scott Bannister

University of Leeds, UK

Julian Céspedes-Guevara

Universidad Icesi, Colombia

Gladys J. Heng

Nanyang Technological University, Singapore

Noah Henry

University of York, UK

Kelly Jakubowski

Durham University, UK

Friederike Koehler

University of Jyväskylä, Finland

Amanda E. Krause

James Cook University, Australia

Thomas M. Lennie

American University, Bulgaria

Isabel Cecilia Martínez

Universidad Nacional de La Plata, Argentina

Katherine O’Neill

University of York, UK

Lindsay Warrenburg

University of Pennsylvania, USA

Published

October 10, 2025

This repository offers data and analyses related to the study titled “Measuring Emotional Experiences with Music – Content Validity Assessment for Episode Model Constructs, (in press). This is about an instrument to measure a recent theory concerning emotional episodes related to music (Eerola, Kirts & Saarikallio, 2025).

APA reference

Kirts, C., Saarikallio, S., Anderson, C. J., Bannister, S., Céspedes-Guevara, J., Heng, G. J., Henry, N., Jakubowski, K., Koehler, F., Krause, A. E., Lennie, T. M., Martínez, I. C., O’Neill, K., Warrenburg, L., & Eerola, T. (in press). Measuring Emotional Experiences with Music – Content Validity Assessment for Episode Model Constructs. Music & Science, 0(0).

The public-facing version of the repository is available at https://tuomaseerola.github.io/MIMEE/.

Three main analytical operations are documented in the repo.

Semantic similarity analysis

  • Item similarity analysis was used to trim the number of items from 495 to 336.
  • Item similarity visualisation shows the output of the analysis.

Expert evaluation resource document

This 10-page document contains the briefing, schedule and the definitions for the subject-matter experts. Expert_Resource_Document.pdf.

Expert evaluations: round 1

  • Expert Evaluations: Round 1 contains the analysis of all proposed items by 14 subject matter specialists.
  • Item decisions contains a long summary concerning item details and feedback from the experts.

Expert evaluations: round 2

  • Expert Evaluations: Round 2 contains the analysis of all proposed items by 14 subject matter specialists.
  • Expert Evaluations: Round 2 representativeness contains the analysis of representative items as denoted by subject matter specialists.
  • Expert Evaluations: Round 2 representativeness - Table 4 contains the top N (2 at the moment) representative items for each sub-construct.

References

  • Eerola, T., Kirts, C., & Saarikallio, S. (2025). Episode model: The functional approach to emotional experiences of music. Psychology of Music, 53(3), 590-615. https://doi.org/10.1177/03057356241279763
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