Evidence map›Paper›PMID 41602698›Full record

ArticleFrontiers in psychology2025

Constructing an indicator system for factors influencing volleyball coaches' in-game tactical decision-making: a Delphi study.

Zheng Sun, Fan Zhang

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 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

2 authors.

Zheng SunSchool of Physical Education, Anhui Normal University, Wuhu, China.
Fan ZhangDepartment of Kinesiology & Health Promotion, University of Kentucky, Lexington, KY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to construct a systematic and evidence-based framework of indicators for factors influencing volleyball coaches' in-game tactical decision-making. Potential indicators were generated through expert screening and group discussions, then refined via two rounds of Delphi consultation. Indicator weights were determined using the precedence chart method. The final framework comprised six primary indicators-Athlete Competitive Performance (0.3056), Coach Competence and On-site Performance (0.2500), Match Situation and Dynamics (0.1944), Information Support (0.1389), Officiating Performance (0.0566), and Spectator Behavior and Unexpected Incidents (0.0566)-along with 15 secondary and 52 tertiary indicators. Athlete Competitive Performance carried the greatest weight, while Officiating Performance and Spectator Behavior showed the lowest. At the secondary level, Coach Competence, Team Coordination, and both Own and Opponent Athlete Performance were the most influential factors. At the tertiary level, the Individual Technical and Tactical Performance of Own Players was most critical, followed by tactical execution, lineup strength, coaches' authority, and opponent tactical adjustments. Overall, the study highlights the complexity of in-game tactical decision-making and provides a structured indicator framework that offers theoretical insights and practical guidance for improving rational and adaptive coaching decisions in competitive volleyball.

Indexed as

Delphi methodindicator systeminfluencing factorsin-game tactical decision-makingvolleyball coaches

Identifiers

PMID41602698
PMCPMC12833297

What OpenQuestion holds

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LicenceCC BY
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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.