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Table · dataset · 2026

: <i>De-identified trial-level data for Bayesian modelling of football referees’ card decisions (fixed-80 endpoint)</i>

Listed in figshare

<p dir="ltr">This dataset accompanies the submitted manuscript ‘Expertise in Football Referees’ Card Decisions: A Bayesian Diffusion Model of Evidence Accumulation’.

Description

It contains de-identified trial-level records from the fixed endpoint of 80 referees (40 high-level: 19 national-level and 21 pre-national; 40 Level 3). The primary card-sanction prompt contains 3,040 recorded trials before cleaning and 2,999 trials retained under the prespecified rule that participant answers must be 1–4 and response time must be 0.300–8.000 s inclusive.

The workbook also includes 9,120 selected-80 records across the three judgement prompts, of which 9,012 meet the corresponding answer/response-time rule, plus participant-level behavioural summaries, posterior-predictive RT source values, and DDM posterior/contrast summaries used by the manuscript figures and tables. Names, sex, original numeric IDs, source-video paths, video identifiers, and linkable mapping keys are excluded.

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The public workbook therefore supports reproducibility of the reported analyses without redistributing participant identifiers or copyrighted UEFA video references. Missing values are blank Excel cells; the raw sheets retain validity flags and exclusion reasons, whereas the analysis-input sheets contain only records retained by the stated rule. Ethics approval: Shaanxi Normal University Ethics Committee, Approval No. 202416055; all participants provided informed consent.

Public release of de-identified human participant data remains subject to the authors’ institutional consent and data-governance confirmation.</p>

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Inferred from text
Law in context 72% · Video 75%
Provenance · 1 source records, 18 field assertions
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