EMA-CleanR: Ecological Momentary Assessment (EMA) Data Processing in R (Code Documentation)

University of Michigan Library 2026 Open access

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Authors: Sarah Sperry, Victoria A. Murphy, Gabriel Mongefranco
DOI: 10.7302/27965
Cited by: 0

Abstract

Research teams that make use of Ecological Momentary Assessment (EMA) surveys often have a need to clean and pre-process the data. Dr. Sarah Sperry and Victoria Murphy of the Emotion and Temporal Dynamics (EmoTe) Lab at the University of Michigan created EMA-CleanR, an R-based program for efficient pre-processing, cleaning, and visualization of EMA survey data. This article documents how to use EMA-CleanR to pre-process EMA data.

Fields of Study & Subjects

Mental Health Research Topics Data Analysis with R Advanced Statistical Modeling Techniques

Publication details

Journal / source
University of Michigan Library
Publication date
5 January 2026
Language
EN