Evidence map›Paper›PMID 41919091›Full record

ArticleJournal of nonverbal behavior2025

How Long? How Many? How Much? Evidence of Convergent Validity Among Thin-Slice Behavioral Coding Metrics.

Nora A Murphy, Mollie A Ruben, Morgan Stosic, Laetitia A Renier, Katja Schlegel, Judith A Hall, Marianne Schmid Mast, Brett Marroquín

Abstract read
In one paragraph

Article in Journal of nonverbal behavior, 2025. 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.

  1. Article
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  5. Review
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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

8 authors.

Nora A MurphyLoyola Marymount University, Los Angeles, USA.
Mollie A RubenUniversity of Rhode Island, Kingston, USA.
Morgan StosicUniversity of Maine, Orono, USA.
Laetitia A RenierUniversity of Lausanne, Lausanne, Switzerland.
Katja SchlegelUniversity of Bern, Bern, Switzerland.
Judith A HallNortheastern University, Boston, USA.
Marianne Schmid MastUniversity of Lausanne, Lausanne, Switzerland.
Brett MarroquínLoyola Marymount University, Los Angeles, USA.

Funding

Dismantling barriers in pain management through an intersectional multi-method examination of race and gender biasesK01MD020123 · NIMHD · UNIVERSITY OF RHODE ISLAND · PI Mollie Ruben · 2024 to 2026
$393k
NIMHD NIH HHS K01 MD020123
6 · The paper itself

Abstract

Despite the ubiquity of thin-slice coding for behavioral measurement, there exists relatively little systematic research into the convergent validity of thin-slice coding metrics for nonverbal behaviors when using human coders. This study utilized five previous datasets to measure four commonly-measured nonverbal behaviors (gaze, gestures, nods, smiles) using three different coding metrics (duration, frequency, rating) coded in 2 or 3 min slices. Convergent validity was measured by comparing a given behavior coded with at least two different metrics. Meta-analytic assessments across studies, behaviors, and metrics indicated strong convergent validity for various metrics for each behavior. Results provide confidence to researchers on the validity of using these thin-slice coding metrics for nonverbal behaviors.

Indexed as

Behavioral CodingConvergent ValidityGazeGestureNodSmileThin Slices

Identifiers

PMID41919091
PMCPMC13035377

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.