Evidence map›Paper›PMID 37162792›Full record

ArticleJournal of nonverbal behavior2023

A Quantitative Evaluation of Thin Slice Sampling for Parent-Infant Interactions.

Romana Burgess, Ilaria Costantini, Marc H Bornstein, Amy Campbell, Miguel A Cordero Vega, Iryna Culpin, Hayley Dingsdale, Rosalind M John, Mari-Rose Kennedy, Hannah R Tyson and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nonverbal behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

12 authors.

Romana BurgessDigital Health Engineering Group, Faculty of Engineering, Merchant Venturers Building, University of Bristol, Bristol, UK.ORCID 0000-0001-9539-4759
Ilaria CostantiniCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK.
Marc H BornsteinEunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD USA.
Amy CampbellCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK.
Miguel A Cordero VegaCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK.
Iryna CulpinCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK.
Hayley DingsdaleBiomedicine Division, School of Biosciences, Cardiff University, Cardiff, UK.
Rosalind M JohnBiomedicine Division, School of Biosciences, Cardiff University, Cardiff, UK.
Mari-Rose KennedyCentre for Ethics in Medicine, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Hannah R TysonBiomedicine Division, School of Biosciences, Cardiff University, Cardiff, UK.
Rebecca M PearsonCentre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK.
Ian NabneyDigital Health Engineering Group, Faculty of Engineering, Merchant Venturers Building, University of Bristol, Bristol, UK.

Funding

Medical Research Council G9815508Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Wellcome Trust
6 · The paper itself

Abstract

Behavioural coding is time-intensive and laborious. Thin slice sampling provides an alternative approach, aiming to alleviate the coding burden. However, little is understood about whether different behaviours coded over thin slices are comparable to those same behaviours over entire interactions. To provide quantitative evidence for the value of thin slice sampling for a variety of behaviours. We used data from three populations of parent-infant interactions: mother-infant dyads from the Grown in Wales (GiW) cohort (

Indexed as

ALSPACBehavioural codingGrown in walesMarkov chain processesParent–infant interactions

Identifiers

PMID37162792
PMCPMC10163135

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.