Evidence map›Paper›PMID 38402359›Full record

ArticleScientific reports2024

Mixed methods research on satisfaction with athletes' compensation.

Qianqian Li, Shuo Li, Huan Zhao, Lu Jiao, Xiao Han

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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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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

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

5 authors.

Qianqian Li *School of Management, Beijing Sport University, Beijing, 100084, China.
Shuo Li *School of Sports Science, Honam University, Gwangju, 62399, Korea.
Huan ZhaoFoundation Department, Shandong Xiehe University, Jinan, 250013, Shandong, China. 2019112083@bsu.edu.cn.
Lu JiaoFaculty of Physical Education, Tomsk State University, Tomsk, 634050, Russia.
Xiao HanFoundation Department, Shandong Xiehe University, Jinan, 250013, Shandong, China.

Funding

2019's Shandong Province social science planning and research project(19CTYJ23) 19CTYJ23
6 · The paper itself

Abstract

This study explores the factors influencing athletes' compensation satisfaction and their configuration effects. A mixed research approach that combines regression analysis and fuzzy-set qualitative comparative analysis (fsQCA) was applied to process the survey data of 352 athletes from six provinces. The regression analysis results demonstrate that economic compensation, the compensation system, the external environment, and compensation fairness all have a significant positive effect on athletes' compensation satisfaction. Accordingly, the fsQCA approach was applied to explore the combined effects of the factors influencing athletes' compensation satisfaction, which verifies the conclusions drawn from regression analysis and provides improvement paths for increasing athletes' compensation satisfaction.

Indexed as

AthletesPersonal SatisfactionHumansAthleteCompensation satisfactionMixed research methodQCARegression analysis

Identifiers

PMID38402359
PMCPMC10894253

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.