Experience Sampling
10 posts tagged with “Experience Sampling”
Prompt frequency, questionnaire length, and study duration: the design trade-offs that shape ESM data quality
Three upstream design choices determine how much burden an ESM participant carries and how much usable data a study produces: how many prompts arrive per day, how many items each prompt asks, and how many days the protocol runs. This post reviews what the evidence says each choice costs and buys — including the experimental finding that questionnaire length, not sampling frequency, is what degrades data quality — and covers the response window as a fourth, separate decision.
August 17, 2026
Why ESM studies need open-ended responses alongside numeric ratings
Numeric rating scales dominate experience sampling, but they cannot capture context, idiosyncratic meaning, or a participant's own account of what caused a mood shift. A 2026 position paper by Bringmann and colleagues makes a systematic case for reintegrating open-ended text responses — here is what the argument rests on, what it costs in burden, and what it requires in consent and analysis.
August 3, 2026
Geofenced experience sampling: what location-triggered prompts can and can't do
Location-triggered prompts let you sample experience where it happens — but continuous location tracking has real costs in battery, accuracy, and privacy. A plain-language guide to when geofenced sampling is the right design, when it isn't, and what to check before you build a study around it.
June 8, 2026
From experience sampling to just-in-time adaptive interventions: what the protocol has to specify
A just-in-time adaptive intervention asks four things of a study design that a standard experience-sampling protocol never has to answer: when the adaptive logic runs, what data informs each decision, what rule turns that data into action, and how receptivity is measured. This post works through each requirement, defines the terms, and sets out what each one demands of the SMAAT platform underneath.
May 18, 2026
What the latest ESM methodology review says, and what it means for study design
A 2026 review in the British Journal of Mathematical and Statistical Psychology summarises recent developments in experience sampling methodology across three levels: design, statistical analysis, and implementation. This post goes through each level and states what it implies for a protocol that is still being written.
May 11, 2026
Running cognitive tasks inside an EMA protocol
Embedding cognitive tasks in the same native app as EMA prompts removes enrolment friction, timestamp misalignment, and split data exports — but device variability, touchscreen timing constraints, practice effects, and the reliability properties of brief sessions are limits that apply to the method regardless of platform.
May 4, 2026
The Open Handbook of Experience Sampling has a third edition — and a whole chapter on choosing your tool
The field's standard step-by-step guide to experience sampling was re-released in April 2026, free to download, with every chapter updated and a new one on studying couples in daily life. Its platform chapter is a tool-agnostic checklist worth reading before you commit to any app — here's what it says, and how a smartphone platform like SMAAT reads against it.
April 27, 2026
EMA vs ESM vs DRM: which intensive-longitudinal method when
ESM, EMA, and DRM are often used interchangeably but answer different questions. A practical decision guide.
April 13, 2026
Designing your first experience-sampling study: a step-by-step guide
A practical guide to scoping, designing, and validating your first ESM/EMA study — from research question to pilot.
March 2, 2026
Five EMA study templates you can clone today: mental health, sleep, social, behavioural economics, cognition
Five peer-reviewed-style EMA templates available in SMAAT, with the design decisions behind each.
February 16, 2026