Researchecological momentary assessmentmhealthmeasurement bias
Repeated Assessments Alter EMA Data Quality
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7.1
In a 2026 JMIR Mhealth Uhealth viewpoint, researchers at the University of Southern California analyze how intensive repeated self-reports (EMA) can change over time and impair data quality. They present selected evidence across four phenomena—shorter response times, rising missingness, careless responding, and reactivity—showing measurable changes (e.g., 32% response-time decline within a week). They urge monitoring and methodological adjustments to protect validity.
Scoring Rationale
Methodological synthesis across EMA studies yields actionable caution; limited novelty and mostly viewpoint evidence constrain impact.
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