Evidence map›Paper›PMID 39928762›Full record

ArticleMedicine2025

Development, validity, and reliability testing of a research readiness self-evaluation scale with nurses: A cross-sectional study.

Du Hong, Ying Xu, Feng Xu, Yao Jiang, Xinmiao Xiang, Qiuxiao Ai, Weiqiang Chen, Chunguo Xiao, Ying Luo, Juan Sha

Abstract readValidation Study
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Du HongDepartment of Anesthesiology and Operative Medicine, Medical Center of Anesthesiology and Pain, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330052, Jiangxi, China.
Ying Xu
Feng Xu
Yao Jiang
Xinmiao Xiang
Qiuxiao Ai
Weiqiang Chen
Chunguo Xiao
Ying Luo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nurse research readiness determines research outcomes. Understanding of nurse knowledge, attitude, and behaviors on research preparation can better prepare them for medical search. To develop a nurse research readiness self-evaluation scale and test its validity and reliability. This cross-sectional study was performed between January and October, 2023. Based on the knowledge-attitude-practice model, we first created a draft version of a nurse research readiness scale via a literature review and semi-structured interviews with registered nurses. After a Delphi expert consultation and pilot survey, a second version of the nurse research readiness scale was developed. We then tested the validity and reliability of the scale to develop its final version. A total of 20 experts and 400 nurses were invited to participate in the study, and valid responses were subsequently obtained from 16 experts and 390 nurses. The draft version of the scale had 3 dimensions and 35 items, which was finalized to 3 dimensions and 28 items after expert consultation and validity and reliability tests. The 3 dimensions were extracted using the principal component analysis method, which includes knowledge, belief, and behavior, and this could explain 70.672% of the total variation. The content validity test showed moderate satisfaction, with content validity indexes for each item and an overall scale of 0.833 to 1.000 and 0.878, respectively. The construct validity test was performed using exploratory factor analysis, which showed satisfactory concept measurement, with a loading value > 0.4 in all 28 final items. The criterion-related validity showed a correlation coefficient of 0.893 between the research readiness scale and a previously published research capability scale for nurses, suggesting the consistency of the present scale. The Cronbach α coefficient, Spearman-Brown coefficient, split-half reliability, and test-retest reliability were 0.964, 0.886, 0.940, and 0.824, respectively, thus demonstrating satisfactory reliability of the scale. A nurse research readiness self-evaluation scale was created with satisfactory validity and reliability, which could help nurses to determine their preparations for medical search and identify areas for improvements, with the ultimate goal to improve nursing research and evidence-based nursing practice.

Indexed as

NursesNursing ResearchSelf-AssessmentAdultAttitude of Health PersonnelCross-Sectional StudiesDelphi TechniqueFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID39928762
PMCPMC11813039

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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.