Evidence map›Paper›PMID 38590335›Full record

ArticleFrontiers in psychology2024

Validity and reliability of the toxic leadership behaviors of nurse managers scale among Chinese nurses.

Yumei Zhou, Juanjuan Lin, Xing Liu, Shuping Gao, Fang Yang, Huili Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2024. 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
1.8field-weighted citation impact, top 17% of its field
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, 4 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yumei Zhou *Department of Nursing, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Juanjuan Lin *Department of Nursing, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Xing LiuDepartment of Nursing, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Shuping GaoDepartment of Nursing, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Fang YangDepartment of Nursing, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Huili XuDepartment of Nursing, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
Hubei University of Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Toxic leadership is increasingly becoming common in the nursing field, but the measurement tools are lacking. Therefore, this study aimed to translate the toxic leadership behaviors of nurse managers (ToxBH-NM) scale into Chinese and test its psychometric properties among Chinese nurses. Methods: The data for this study were obtained from a cross-sectional survey of 1,195 nurses. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to examine the structural validity of the ToxBH-NM. The following psychometric properties of the scale were assessed: content validity, criterion validity, internal consistency reliability, and test-retest reliability. Results: The Chinese version of the ToxBH-NM (C-ToxBH-NM) scale had two dimensions and 30 items. The correlation coefficients between the scores of each item and the total scores were 0762-0.922 ( Conclusion: The research results show that the C-ToxBH-NM scale has good reliability and validity and can be used to evaluate the severity of toxic leadership behavior among nursing managers.

Indexed as

nurse managersreliabilityscaletoxic leadership behaviorsvalidity

Identifiers

PMID38590335
PMCPMC10999539
OpenAlexW4393156901

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.