EMA

7 posts tagged with “EMA

Reporting a smartphone study: what STROBE-GEMA asks for and how to structure the methods section
GeolocationMethodology

Reporting a smartphone study: what STROBE-GEMA asks for and how to structure the methods section

STROBE-GEMA is a reporting checklist for studies that pair momentary self-reports with location data. Its 70 items name the details that mobile-study methods sections most often omit — how prompts were scheduled and delivered, what device and app were used, how many prompts were planned versus received versus answered, and which data are missing and why. This post walks through the checklist in the order a methods section is written, and ends with a template and a pre-submission check.

August 31, 2026

Prompt frequency, questionnaire length, and study duration: the design trade-offs that shape ESM data quality
Study DesignCompliance

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

Geofenced experience sampling: what location-triggered prompts can and can't do
GeofencingGDPR

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

What the latest ESM methodology review says, and what it means for study design
MethodologyExperience Sampling

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
Cognitive TasksMethodology

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
Open AccessResearch Tools

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
MethodologyExperience Sampling

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