6 posts tagged with “EMA”

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

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

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

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 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

ESM, EMA, and DRM are often used interchangeably but answer different questions. A practical decision guide.
April 13, 2026