Evidence map›Paper›PMID 41689147›Full record

ArticleBMC psychology2026

A network analysis of the relationship between happiness at work, psychological safety, and job satisfaction dimensions: education context.

Manal Khasib Al-Fazari, Ehab Mohamed Naguib Omara, Muna Abdallah Al-Bahrani, Azhaar Saif Saud Al Basami

Abstract read
In one paragraph

Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

4 authors.

Manal Khasib Al-FazariDepartment of Psychology, Sultan Qaboos University, Alkhud, Oman. manal@squ.edu.om.
Ehab Mohamed Naguib OmaraDepartment of Psychology, Sultan Qaboos University, Alkhud, Oman.
Muna Abdallah Al-BahraniDepartment of Psychology, Sultan Qaboos University, Alkhud, Oman.
Azhaar Saif Saud Al BasamiMinistry of Education, Muscat, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to examine the relationships among happiness at work, psychological safety, and job satisfaction among employees in educational settings. Exploring the core dimensions and network structure of these constructs provides deeper insight into how they interact and how organizational interventions may be improved. Network analysis was used to investigate the associations among happiness at work, psychological safety, and job satisfaction. The Happiness at Work Scale, the Psychological Safety Scale, and the Minnesota Satisfaction Questionnaire were administered to a convenience sample of 372 employees in the educational sector in the Sultanate of Oman (mostly teachers, with a smaller number of supervisory staff). The network analysis showed that specific items from the happiness at work scale, particularly those reflecting enjoyment of work and environmental quality, were embedded within the network and played an important role in shaping employees' job satisfaction. The results also revealed that the extrinsic job satisfaction dimension occupied a central position in the network, functioning as a primary link between psychological safety and job satisfaction. The comparison between male and female employees indicated no meaningful gender differences in network structure or overall connectivity. These findings carry important implications for policy and practice in Oman, highlighting the value of strengthening managerial fairness, organizational clarity, and recognition practices to enhance employee happiness at work.

Indexed as

EmploymentHappinessJob SatisfactionPsychological SafetyAdultFemaleHumansMaleMiddle AgedOmanSurveys and QuestionnairesWorking ConditionsHappiness at workJob satisfactionPsychological safety

Identifiers

PMID41689147
PMCPMC13005543

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.