Evidence map›Paper›PMID 39498324›Full record

ArticleFrontiers in psychology2024

Examining the incentive effects of athlete compensation: a combined analysis using SEM and fsQCA.

Huan Zhao, Hebin Chong, Feiyan Xiao, Li Tan, Zhaoxia Liu

Abstract read
In one paragraph

Article in Frontiers in psychology, 2024. 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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0citing papers 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

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

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

5 authors.

Huan ZhaoSchool of Physical Education, Shandong Youth University of Political Science, Jinan, China.
Hebin ChongSchool of Sports Science, Honam University, Gwangju Metropolitan City, Republic of Korea.
Feiyan XiaoFaculty of Physical Education, Tomsk State University, Tomsk, Russia.
Li TanSchool of Physical Education, Hunan Agricultural University, Changsha, China.
Zhaoxia LiuSchool of Sports Science, Honam University, Gwangju Metropolitan City, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of competitive sports, the evaluation of compensation incentive effectiveness is key to the optimization of compensation systems for athletes. This study creates a model of the athlete compensation incentive effect from single and multinomial grouping perspectives, combining empirical research (SEM) with fuzzy-set qualitative comparative analysis (fsQCA) based on a sample of 352 validated data. The results lead to two findings. First, athletes' direct economic compensation, direct non-economic compensation, and indirect non-economic compensation have a significant positive effect on the incentive effect of compensation. Second, that the incentive effect of high compensation has two configurations, namely "economic value" and "economic environmental value." It seems that the effective combination of compensation factors can enhance the motivation effect in a "different way."

Indexed as

athletecompensation incentive effectcompensation structuresfsQCAstructural equation model

Identifiers

PMID39498324
PMCPMC11532154

What OpenQuestion holds

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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.