Evidence map›Paper›PMID 38020844›Full record

ReviewInternational journal of nursing sciences2023

Reliability and validity of the Chinese version of the Self-Efficacy Perception Scale for Administrator Nurses.

Taotao He, Yang Chen, Caini Song, Chaoqun Li, Jia Liu, Jing Huang

Abstract readReview
In one paragraph

Review in International journal of nursing sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
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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

6 authors.

Taotao HeSchool of Nursing, Hunan University of Chinese Medicine, Hunan, China.
Yang ChenEndoscopy Room, The Second Xiangya Hospital of Central South University, Hunan, China.
Caini SongDepartment of Nursing, Hunan Normal University, Hunan, China.
Chaoqun LiDepartment of Osteopathic, Hunan Provincial Hospital of Integrative Medicine, Hunan, China.
Jia LiuDepartment of Nursing, Hunan Cancer Hospital, Hunan, China.
Jing HuangDepartment of Scientific Research, Hunan Academy of Traditional Chinese Medicine, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to translate the Self-Efficacy Perception Scale of Administrator Nurses (SEPSAN) into Chinese and test its reliability and validity among nurse managers. Methods: A scale translation and cross-sectional validation study was conducted. The English version was translated for Chinese by the Brislin translation model included direct translation, back translation, integration, and cultural adjustment. A total of 382 nurse administrators were recruited from 20 general hospitals in five Chinese cities to assess the reliability and validity of the scale from April to May 2023. Validity assessments included content, structural, and convergent validity. Reliability was evaluated using Cronbach's α coefficient and test-retest reliability. Results: The item-content validity index (I-CVI) of the scale ranged from 0.86 to 1.00, and the average scale-level content validity index (S-CVI/Ave) for the overall scale was 0.98. The exploratory factor analysis indicated five dimensions (planning, organizing, commanding, coordinating, controlling, and inspecting) with 41 items. The cumulative variance contribution rate was 63.72%. Confirmatory factor analysis showed an acceptable fit. The general Cronbach's α coefficient was 0.95, and the test-retest reliability was 0.87. Conclusion: The Chinese version of SEPSAN showed satisfactory reliability and validity and thus can be used to assess the self-efficacy of nurse administrators in China.

Indexed as

Nurse administratorsReliabilitySelf-efficacySurveys and questionnairesValidity

Identifiers

PMID38020844
PMCPMC10667306

What OpenQuestion holds

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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.