ArticleBehavior research methods2024
Never miss a beep: Using mobile sensing to investigate (non-)compliance in experience sampling studies.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review.Frontiers in digital health · 2025Pooled it
- Detecting warning signs for psychopathology in real time while accounting for context: Two novel statistical process control applications.Behavior research methods · 2026Article
- Deep Beats, Deep Thoughts? Predicting General Cognitive Ability from Natural Music-Listening Behavior.Journal of Intelligence · 2026Article
- Comparing Ecological Momentary Assessments and Time Diary Methods for Measuring Daily Life.Sociological methodology · 2026Article
- Digital Stress Induction in Daily Life Using the Salzburg Mobile Stress Induction (SMSI): Development and Ambulatory Evaluation Study.Journal of medical Internet research · 2025Article
- Experience sampling method studies in physical activity research: the relevance of causal reasoning.The international journal of behavioral nutrition and physical activity · 2025Article
- Investigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study.Journal of medical Internet research · 2025Observational
- Assessment of Negative Symptoms in Schizophrenia: From the Consensus Conference-Derived Scales to Remote Digital Phenotyping.Brain sciences · 2025Review
- Current limitations in technology-based cognitive assessment for severe mental illnesses: a focus on feasibility, reliability, and ecological validity.Frontiers in behavioral neuroscience · 2025Review
- Older adults' compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research.The international journal of behavioral nutrition and physical activity · 2024Article
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Authors and funding
2 authors.
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Abstract
Given the increasing number of studies in various disciplines using experience sampling methods, it is important to examine compliance biases because related patterns of missing data could affect the validity of research findings. In the present study, a sample of 592 participants and more than 25,000 observations were used to examine whether participants responded to each specific questionnaire within an experience sampling framework. More than 400 variables from the three categories of person, behavior, and context, collected multi-methodologically via traditional surveys, experience sampling, and mobile sensing, served as predictors. When comparing different linear (logistic and elastic net regression) and non-linear (random forest) machine learning models, we found indication for compliance bias: response behavior was successfully predicted. Follow-up analyses revealed that study-related past behavior, such as previous average experience sampling questionnaire response rate, was most informative for predicting compliance, followed by physical context variables, such as being at home or at work. Based on our findings, we discuss implications for the design of experience sampling studies in applied research and future directions in methodological research addressing experience sampling methodology and missing data.
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