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

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.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2025-02-07
DOI
https://doi.org/10.1097/md.0000000000041385
Citations
1
Primary Topic
Health Sciences Research and Education
Type
article
Field-Weighted Citation Impact
2.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Jingjing Sha, Xianbo Xiang, Hong Du, Chong Xiao et al.
1 citations
Medicine
Health Sciences Research and Education
2.82
article

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

Jingjing Sha, Xianbo Xiang, Hong Du, Chong Xiao, Weiqiang Chen, Ying Luo, Ying Xu, Xu Feng, Qiu-xiao Ai, Yao Jiang
article en
1 citations

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.

MedicineVol. 104(6)
Nanchang University (CN), First Affiliated Hospital of Jiangxi Medical College (CN)
Openalex Percentile: Top 14%
Health Sciences Research and Education
2.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.