Open Handbook of Experience Sampling Methodology

Inez Myin-Germeys is a psychologist and Professor of Contextual Psychiatry at KU Leuven where she heads the Center for Contextual Psychiatry. Her research focuses on the interaction between the person and the environment in the development and maintenance of psychopathology in general, and psychosis in particular. Peter Kuppens is Professor of Psychology at the Research Group of Quantitative Psychology and Individual Differences at KU Leuven. His research focuses on the nature, regulation, and dynamics of emotional experience both within and between individuals, and how these relate to psychological well-being and mood disorder.

The Open Handbook of Experience Sampling Methodology combines scientific rigour and practical guidance. This clearly written handbook, edited by Inez Myin-Germeys and Peter Kuppens, brings together years of collective ESM expertise supporting both new and experienced researchers. This third edition serves as an expert companion, guiding its readers through the theory, application, and implementation of ESM. - Harriëtte Riese, University Medical Center Groningen (UMCG)

• Chapter 1. Experience Sampling Methods: An Introduction 1.1 What are Experience Sampling Methods? 1.2 The scientific roots of ESM 1.3 ConclusionChapter 2. Research Questions That Can Be Answered with ESM Research 2.1 Research questions in observational ESM research 2.2 Research questions involving non-natural variationChapter 3. Designing an Experience Sampling Study 3.1 A selection of five ESM studies as examples 3.2 The most important design parameters of an ESM protocol 3.3 Fine-tuning the ESM parameters of your study: A guiding frameworkChapter 4. Questionnaire Design and Evaluation 4.1 Defining the target construct and identifying the need for a new measure 4.2 Constructing individual ESM items 4.3 Constructing a questionnaire 4.4 Assessing measurement quality 4.5 Beyond self-reportChapter 5. Ethical Issues in Experience Sampling Method Research 5.1 Inclusivity in research 5.2 Privacy and consent 5.3 Real-time data, real-time responsibility? 5.4 Participant burden 5.5 Reactivity 5.6 ConclusionChapter 6. Experience Sampling Platforms 6.1 The online dashboard 6.2 ESM apps 6.3 Wearables 6.4 Legal considerations 6.5 Sustainability of ESM software and hardware 6.6 Recommended ESM platforms 6.7 ConclusionChapter 7. Briefing and Debriefing in an Experience Sampling Study 7.1 Briefing session 7.2 Debriefing sessionChapter 8. Structuring, Checking and Preparing the Data 8.1 Data Structure 8.2 Example data and research questions 8.3 Software and code 8.4 Data checks and preparation 8.5 Data visualization 8.6 ConclusionChapter 9. Statistical Methods for ESM Data 9.1 Mixed-effects and multilevel models 9.2 Disentangling within- and between-person variability 9.3 Examining between-person differences 9.4 Examining within-person associations 9.5 Examining between-person differences in within-person associations 9.6 Disentangling within- and between-person associations 9.7 Examining lagged relationships 9.8 Controlling for autocorrelation 9.9 Controlling for time trends 9.10 ConclusionsChapter 10. Non-Normal, Higher-Level, and VAR(1) Models for the Analysis of ESM Data 10.1 Non-normal data 10.2 Three-level models 10.3 Multilevel vector autoregressive models 10.4 ConclusionsChapter 11. Sample Size Selection in ESM Studies 11.1 Power analysis in multilevel models 11.2 Methodological approaches for power analyses in multilevel models 11.3 Illustrations 11.4 Additional consideration when selecting the temporal design 11.5 Feasibility and sample size planning in ESM studies 11.6 ConclusionsChapter 12. ESM as a Clinical Tool and Foundation for Intervention : From Research to Clinical Practice 12.1 ESM as a clinical tool 12.2 Ecological Momentary Interventions (EMIs) 12.3 Co-design and stakeholder engagement 12.4 Clinical implementation of ESM and EMIs 12.5 ConclusionsChapter 13. Passive Sensing in ESM Research 13.1 Applications of passive sensing 13.2 How to combine ESM with Passive Sensing Data 13.3 ConclusionChapter 14. Dyadic Experience Sampling Research 14.1 Considerations before running the study 14.2 Considerations during the study 14.3 Considerations after the study 14.4 ConclusionReferences About Real About the Authors