Evidence map›Paper›PMID 41050797›Full record

ArticleFrontiers in psychology2025

The impact of work concerns on teaching effectiveness: a structural equation modeling and multiple regression analysis in Chinese private universities.

Mingyu Liang, Mohd Khairuddin Abdullah, Qun Wang

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

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

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

3 authors.

Mingyu LiangSchool of Arts and Media, Qingdao Hengxing University of Science and Technology, Qingdao, China.
Mohd Khairuddin AbdullahFaculty of Education and Sport Studies, University Malaysia Sabah, Kota Kinabalu, Malaysia.
Qun WangSchool of Arts and Media, Qingdao Hengxing University of Science and Technology, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is crucial to understand how young teachers cope with work concerns for improving teaching quality in the Chinese private higher education institutions. This study investigates the relationship between different stages of such concerns and teacher effectiveness among young lecturers in private universities. These lecturers often face workload pressure and a lack of career support, which may influence their professional development and teacher effectiveness. This research involved 416 full-time lecturers under 40 from four private universities located in Shandong Province. The sample was selected through a multi-stage sampling method: private universities were stratified into four categories, one university from each category was purposively selected, and participants were randomly sampled. Data were collected using a structured questionnaire based on the Stages of Concern and the School Teacher Effectiveness Questionnaire. Pearson correlation, multiple regression, and structural equation modeling were conducted for analysis. Results show that task concerns and impact concerns significantly influenced teacher effectiveness across three dimensions: instructional planning and strategies, assessment, and learning environment. In contrast, self-concerns showed weaker influence. These findings suggest that work concerns reflect not only stress but also deeper professional motivation, pointing to the need for more targeted support strategies to improve teacher effectiveness and career growth.

Indexed as

multiple regressionstructural equation modelingteaching effectivenesswork concernsyoung teachers

Identifiers

PMID41050797
PMCPMC12488400

What OpenQuestion holds

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LicenceCC BY
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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.