Evidence map›Paper›PMID 34910571›Full record

ReviewJournal of speech, language, and hearing research : JSLHR2022

Statistical Considerations for Analyzing Ecological Momentary Assessment Data.

Jacob J Oleson, Michelle A Jones, Erik J Jorgensen, Yu-Hsiang Wu

Abstract readReview
In one paragraph

Review in Journal of speech, language, and hearing research : JSLHR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Beyond Fear: Disgust, Anger, and the Affective Core of Interpersonal Phobias.Integrative psychological & behavioral science · 2026
    Article
  2. Observational
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  4. Article
  5. Scoping Review of Experience Sampling Methodology Investigations of Posttraumatic Stress Disorder Symptoms.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Utilizing ecological momentary assessment in nursing research.Women's health nursing (Seoul, Korea) · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jacob J OlesonDepartment of Biostatistics, University of Iowa, Iowa City.ORCID 0000-0001-6343-3274
Michelle A JonesDepartment of Biostatistics, University of Iowa, Iowa City.
Erik J JorgensenDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City.
Yu-Hsiang WuDepartment of Communication Sciences and Disorders, University of Iowa, Iowa City.

Funding

Speech Production &LanguageP50DC000242 · NIDCD · UNIVERSITY OF IOWA · PI Inyong Choi · 1989 to 2026
$58.8M
Effects of Environment Complexity on Listening Performance in Adult Hearing Aid UsersF32DC018980 · NIDCD · UNIVERSITY OF IOWA · PI JORGENSEN, ERIK JORGEN · 2020 to 2021
$143k
NIDCD NIH HHS F32 DC018980NIDCD NIH HHS P50 DC000242
6 · The paper itself

Abstract

purposeThe analysis of Ecological Momentary Assessment (EMA) data can be difficult to conceptualize due to the complexity of how the data are collected. The goal of this tutorial is to provide an overview of statistical considerations for analyzing observational data arising from EMA studies.

methodEMA data are collected in a variety of ways, complicating the statistical analysis. We focus on fundamental statistical characteristics of the data and general purpose statistical approaches to analyzing EMA data. We implement those statistical approaches using a recent study involving EMA.

resultsThe linear or generalized linear mixed-model statistical approach can adequately capture the challenges resulting from EMA collected data if properly set up. Additionally, while sample size depends on both the number of participants and the number of survey responses per participant, having more participants is more important than the number of responses per participant.

conclusionUsing modern statistical methods when analyzing EMA data and adequately considering all of the statistical assumptions being used can lead to interesting and important findings when using EMA. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.17155961.

Indexed as

Ecological Momentary AssessmentResearch DesignHumansSurveys and Questionnaires

Identifiers

PMID34910571
PMCPMC9150728

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.