Evidence map›Paper›PMID 35035365›Full record

ReviewFrontiers in psychology2021

Tracking Infant Development With a Smartphone: A Practical Guide to the Experience Sampling Method.

Marion I van den Heuvel, Anne Bülow, Vera E Heininga, Elisabeth L de Moor, Loes H C Janssen, Mariek Vanden Abeele, Myrthe G B M Boekhorst

Abstract readReview
In one paragraph

Review in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. 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

7 authors.

Marion I van den HeuvelDepartment of Cognitive Neuropsychology, Tilburg University, Tilburg, Netherlands.
Anne BülowDepartment of Psychology Education & Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands.
Vera E HeiningaDepartment of Developmental Psychology, Groningen University, Groningen, Netherlands.
Elisabeth L de MoorDepartment of Youth and Family, Utrecht University, Utrecht, Netherlands.
Loes H C JanssenDepartment of Clinical Psychology, Leiden University, Leiden, Netherlands.
Mariek Vanden Abeeleimec-mict-UGent, Department of Communication Sciences, Ghent University, Ghent, Belgium.
Myrthe G B M BoekhorstDepartment of Cognitive Neuropsychology, Tilburg University, Tilburg, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has forced developmental researchers to rethink their traditional research practices. The growing need to study infant development at a distance has shifted our research paradigm to online and digital monitoring of infants and families, using electronic devices, such as smartphones. In this practical guide, we introduce the Experience Sampling Method (ESM) - a research method to collect data, in the moment, on multiple occasions over time - for examining infant development at a distance. ESM is highly suited for assessing dynamic processes of infant development and family dynamics, such as parent-infant interactions and parenting practices. It can also be used to track highly fluctuating family dynamics (e.g., infant and parental mood or behavior) and routines (e.g., activity levels and feeding practices). The aim of the current paper was to provide an overview by explaining what ESM is and for what types of research ESM is best suited. Next, we provide a brief step-by-step guide on how to start and run an ESM study, including preregistration, development of a questionnaire, using wearables and other hardware, planning and design considerations, and examples of possible analysis techniques. Finally, we discuss common pitfalls of ESM research and how to avoid them.

Indexed as

ambulatory monitorexperience sampling method/ecological momentary assessmentinfancyinfant developmentlongitudinal data

Identifiers

PMID35035365
PMCPMC8752460

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.