Evidence map›Paper›PMID 42510290›Full record

ArticleBehavioral sciences (Basel, Switzerland)2026

Within-Session Matching Analyses to Quantify the Effects of Individualized Preferred Interactions on Social Time Allocation.

Pierce M Taylor, Celeste M Tevis, Samuel L Morris

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Pierce M TaylorDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA 70803, USA.ORCID 0000-0001-8684-1895
Celeste M TevisDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA 70803, USA.
Samuel L MorrisDepartment of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA 70803, USA.ORCID 0000-0003-0724-6954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers have used the generalized matching equation to quantify the function of social interaction based on within- and across-session patterns of social time allocation. Within-session matching analyses could provide an efficient method of quantifying the extent to which preferred, individualized social interactions are more reinforcing than generic, non-individualized social interactions. The current study explores the potential utility of this novel application of the generalized matching equation. We recruited four participants who displayed indifference during baseline sociability assessment sessions. Individualized, preferred interactions were identified for each participant and then introduced during subsequent assessment sessions. Within-session matching analyses of the last session of baseline and first session of intervention suggested improvements in sensitivity to social reinforcement and reductions in bias toward a given side of the assessment for three out of four participants. Results were compared to a reanalysis of previously published data for three participants experiencing an identical intervention. Heterogeneity in the persistence of intervention effects as well as implications for future research related to increasing social time allocation and applying the generalized matching equation are discussed.

Indexed as

matching lawpreference assessmentquantitative analysissociabilitysocial reinforcement

Identifiers

PMID42510290
PMCPMC13403925

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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.