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

EMA-CleanR (Code Documentation)
Authors: Sperry, Sarah; Murphy, Victoria; Mongefranco, Gabriel;

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

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.

This article is the code documentation for the EMA-CleanR software (DOI: https://doi.org/10.5281/zenodo.17982076). To download the software, please visit: https://github.com/DepressionCenter/EMA-CleanR

Keywords

Data Analysis, Psychiatry, EMA-CleanR, EMA, Ecological Momentary Assessment, Survey Data Processing, Health Sciences, R, Mental health, Mobile Data Cleaning, R Programming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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