Evidence map›Paper›PMID 39787199›Full record

ArticlePloS one2025

Enhancing public sector employees ' professional identity: A study using China's Labor Force Survey data.

Xiaotong Ren, Aimin Zhu, Jiao Yu, Chunna Guo

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Xiaotong RenSchool of Management, Shenyang University of Technology, Shenyang, China.ORCID 0009-0005-6571-8501
Aimin ZhuSchool of Management, Shenyang University of Technology, Shenyang, China.
Jiao YuSchool of Management, Shenyang Normal University, Shenyang, China.
Chunna GuoSchool of Economics and Management, Inner Mongolia Normal University, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public sector employees, as the crucial link between the party, government, and the general public, represent the frontline in safeguarding the interests of the people and providing services to them. They profoundly influence the implementation and execution of national policy directives. Using data from China's Labor Force Survey and employing a combination of exploratory factor analysis and confirmatory factor analysis, this research constructs an evaluation index system for public sector employees' Professional Identity. By dividing the evaluation index system into secondary indicators, and utilizing a structural equation standardization model, the study accurately determines the extent to which each level of indicators within the evaluation index system influences Professional Identity. This research provides pathway recommendations to enhance the Professional Identity of public sector employees, with the aim of mitigating occupational burnout and improving the quality of public services.

Indexed as

Public SectorAdultBurnout, ProfessionalChinaEmploymentFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedSocial IdentificationSurveys and Questionnaires

Identifiers

PMID39787199
PMCPMC11717271

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.