Evidence map›Paper›PMID 39149714›Full record

ArticleAnnual review of sociology2024

Leveraging Experience Sampling/Ecological Momentary Assessment for Sociological Investigations of Everyday Life.

Christopher R Browning, Nicolo P Pinchak, Catherine A Calder, Bethany Boettner

Abstract read
In one paragraph

Article in Annual review of sociology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Christopher R BrowningDepartment of Sociology & Institute for Population Research, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-7807-3849
Nicolo P PinchakCentre for Social Investigation, Nuffield College, University of Oxford, Oxford, UK.ORCID 0000-0003-1853-1558
Catherine A CalderDepartment of Statistics and Data Sciences & Population Research Center, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0002-4459-1418
Bethany BoettnerInstitute for Population Research, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0002-4390-9447

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI MARK D. HAYWARD · 2017 to 2026
$5.2M
Institute for Population ResearchP2CHD058484 · NICHD · OHIO STATE UNIVERSITY · PI HAYFORD, SARAH R · 2014 to 2023
$5.0M
NICHD NIH HHS P2C HD042849NICHD NIH HHS P2C HD058484
6 · The paper itself

Abstract

Experience sampling (ES) - also referred to as ecological momentary assessment (EMA) - is a data collection method that involves asking study participants to report on their thoughts, feelings, behaviors, activities, and environments in (or near) real time. ES/EMA is typically administered using an intensive longitudinal design (repeated assessments within and across days). Although use of ES/EMA is widespread in psychology and health sciences, uptake of the method among sociologists has been limited. We argue that ES/EMA offers key advantages for the investigation of sociologically relevant phenomena, particularly in light of recent disciplinary emphasis on investigating the everyday mechanisms through which social structures and micro (individual and relational) processes are mutually constitutive. We describe extant and potential research applications illustrating advantages of ES/EMA regarding enhanced validity, disentangling short-term dynamics, and the potential for linkage with spatially and temporally referenced data sources. We also consider methodological challenges facing sociological research using ES/EMA.

Indexed as

ecological momentary assessment (EMA)Experience sampling (ES)social contextssocial networksspace-time data

Identifiers

PMID39149714
PMCPMC11326442

What OpenQuestion holds

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Registered trials

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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.