Skip to main navigation Skip to search Skip to main content

ESM-Q: A consensus-based quality assessment tool for experience sampling method items

  • Gudrun Eisele*
  • , Anu Hiekkaranta
  • , Yoram K. Kunkels
  • , Marije aan het Rot
  • , Wouter van Ballegooijen
  • , Sara Laureen Bartels
  • , Jojanneke A. Bastiaansen
  • , Patrick N. Beymer
  • , Lauren M. Bylsma
  • , Ryan W. Carpenter
  • , William D. Ellison
  • , Aaron J. Fisher
  • , Thomas Forkmann
  • , Madelyn R. Frumkin
  • , Daniel Fulford
  • , Kristin Naragon-Gainey
  • , Talya Greene
  • , Vera E. Heininga
  • , Andrew Jones
  • , Elise K. Kalokerinos
  • Peter Kuppens, Kathryn L. Modecki, Fabiola Müller, Andreas B. Neubauer, Vanessa Panaite, Maude Schneider, Jessie Sun, Stephen J. Wilson, Caroline Zygar-Hoffmann, Inez Myin-Germeys, Olivia J. Kirtley
*Corresponding author for this work
  • KU Leuven
  • University of Groningen
  • Vrije Universiteit Amsterdam
  • Amsterdam UMC - University of Amsterdam
  • Maastricht University
  • Karolinska Institutet
  • University of Cincinnati
  • University of Pittsburgh
  • University of Missouri at St. Louis
  • Trinity University
  • University of California at Berkeley
  • University of Duisburg-Essen
  • Harvard University
  • Washington University St. Louis
  • Boston University
  • University of Western Australia
  • University College London
  • Liverpool John Moores University
  • University of Melbourne
  • The Kids Research Institute Australia
  • University of Amsterdam
  • RWTH Aachen University
  • VA Medical Center
  • University of South Florida
  • University of Geneva
  • Pennsylvania State University
  • Ludwig Maximilian University of Munich
  • Fresenius University of Applied Sciences

Research output: Contribution to journalArticleAcademicpeer-review

38 Downloads (Pure)

Abstract

The experience sampling method (ESM) is increasingly used by researchers from various disciplines to answer novel questions about individuals’ daily lives. Measurement best practices have long been overlooked in ESM research, and recent reviews show that item quality is often not reported in ESM studies. The absence of information about item quality may be partly explained by the lack of consensus on how ESM item quality should be evaluated. As part of the ESM Item Repository project (esmitemrepository.com)—an international open science initiative that collects ESM items in an open item bank and evaluates their quality—we brought together 42 international ESM experts to develop an ESM item quality assessment tool. In four Delphi phases, experts suggested 57 item quality criteria, rated the criteria, provided arguments for and against the criteria, and rated the criteria again, considering reflections from other experts. The result of the Delphi process is ESM-Q: a quality assessment tool consisting of 10 core criteria, as well as an additional 15 supplementary criteria, to be used depending on the type of items being rated and the availability of supplementary information. The criteria cover topics ranging from construct validity to the optimal wording of items. ESM-Q can aid ESM researchers in selecting existing ESM items, developing new high-quality ESM items, and evaluating the quality of ESM items in systematic reviews. Expert reflections also highlight open research questions surrounding ESM item design that form a research agenda for ESM measurement.
Original languageEnglish
Article number124
JournalBehavior research methods
Volume57
Issue number4
DOIs
Publication statusPublished - 1 Apr 2025

Keywords

  • Ambulatory assessment
  • Delphi study
  • Ecological momentary assessment
  • Item quality criteria
  • Questionnaire development

Fingerprint

Dive into the research topics of 'ESM-Q: A consensus-based quality assessment tool for experience sampling method items'. Together they form a unique fingerprint.

Cite this