Evidence map›Paper›PMID 34300109›Full record

ArticleInternational journal of environmental research and public health2021

Development and Validation of a Chinese Version of a School-to-Work Transition Anxiety Scale for Healthcare Students.

Tzu-Yun Hung, Hung-Chang Liao, Ya-Huei Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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.

Tzu-Yun HungDepartment of Counseling and Applied Psychology, National Taichung University of Education, Taichung 40201, Taiwan.
Hung-Chang LiaoDepartment of Health Policy and Management, Chung Shan Medical University, Taichung 40201, Taiwan.ORCID 0000-0002-2503-4405
Ya-Huei WangDepartment of Applied Foreign Languages, Chung Shan Medical University, Taichung 40201, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this paper was to develop an appropriate scale measuring healthcare students' anxiety during the transition from school to work.

methodsAfter an extensive literature review and panel discussion to prove the face validity and content validity, the initial item pool was reduced to 52 items. In a pilot study, a sample of four hundred and twenty-four healthcare students participated, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used. Psychometric properties-construct validity, convergent validity, discriminant validity, goodness of fit, and reliabilities-were also analyzed.

resultsAfter the use of EFA, the 52 items were reduced to 31 items in four factors, with 66.70% of the total variance explained. The Cronbach's alpha values ranged between 0.91 and 0.93. The study also used CFA to validate the EFA model, and the results demonstrated that with the same thirty-one items in a 7-point Likert scale, the model was a better fit in four factors: "inexperience in professional knowledge and skills" (nine items; factor loadings: 0.642-0.867; 43.72% of the variance explained), "fear of death" (eight items; factor loadings: 0.745-0.831; 9.94% of the variance explained), "fear of being infected" (eight items; factor loadings: 0.678-0.866; 7.86% of the variance explained), and "interpersonal interactions" (six items; factor loadings: 0.704-0.913; 5.18% of the variance explained). The CFA model demonstrated a good model fit in the χ

Indexed as

SchoolsStudentsAnxietyChinaDelivery of Health CareFactor Analysis, StatisticalHumansPilot ProjectsPsychometricsReproducibility of ResultsSurveys and Questionnairesconfirmatory factor analysisexploratory factor analysishealthcare studentsscale developmentschool-to-work transition anxiety

Identifiers

PMID34300109
PMCPMC8305406

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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.