Evidence map›Paper›PMID 42173936›Full record

ArticleScientific reports2026

Advanced statistical models to handle response styles and uncertainty when modelling emotional intelligence of elite swimmers.

Moritz Berger, Rosa Fabbricatore, Maria Iannario, Gunther Schauberger

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Moritz BergerCore Facility Biostatistics, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Mannheim, Germany. moritz.berger@zi-mannheim.de.
Rosa FabbricatoreDepartment of Economics and Statistics, University of Naples Federico II, Naples, Italy.
Maria IannarioDepartment of Political Science, University of Naples Federico II, Naples, Italy.
Gunther SchaubergerTUM School of Medicine and Health, Chair of Epidemiology, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotional intelligence is a key factor for success in sporting competitions, arousing great interest in the psychological assessment of athletes. When the evaluation of psychological behaviour relies on Likert-type psychometric scales, individuals could tend to respond to items regardless of their content or by selecting the extremes or the middle part of the response scale, compromising the measurement process. In this vein, the present paper aims to address measurement issues regarding uncertainty and response style during the assessment of emotional intelligence of elite swimmers by exploiting latent trait models. Results provide evidence in favour of models accounting for specific response behaviour compared to simple item response theory models.

Indexed as

AthletesEmotional IntelligenceModels, StatisticalSwimmingFemaleHumansMalePsychometricsUncertainty

Identifiers

PMID42173936
PMCPMC13197435

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.