Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Application of Structural Equation Modeling in Nursing Research: A Bibliometric Analysis

Version 1 : Received: 13 January 2023 / Approved: 16 January 2023 / Online: 16 January 2023 (03:47:21 CET)

How to cite: Yuan, Q.; Dai, Z. The Application of Structural Equation Modeling in Nursing Research: A Bibliometric Analysis. Preprints 2023, 2023010268. https://doi.org/10.20944/preprints202301.0268.v1 Yuan, Q.; Dai, Z. The Application of Structural Equation Modeling in Nursing Research: A Bibliometric Analysis. Preprints 2023, 2023010268. https://doi.org/10.20944/preprints202301.0268.v1

Abstract

ObjectivesThe present study is aimed at characterizing and identifying the important research trends of the application of structural equation modelling (SEM) in nursing research by bibliometric analysis, and further providing reference for nursing researchers to conduct SEM research.MethodsA descriptive bibliometric analysis of publications in the application of SEM in nursing research. Literatures were retrieved from the Web of Science (WoS) core collection database On April 30, 2022. CiteSpace 6.1.R1 and VOSviewer 16 software were used for visualization and bibliometric analysis.ResultsThe annual publication indicated an increasing trend in the future. The intellectual structures of the application of SEM in nursing researches included patient safety, cross-cultural comparison, compassion fatigue, benchmarking, patient discharge, China, psychometrics, and policy. The hotpots and development trends include job satisfaction, nursing home, and nursing student.ConclusionThe hotspots and development trends related to the application of SEM in nursing research mentioned in this study may be helpful for researchers to explore new directions in this field. The intellectual structures and development trends were found in the application of SEM in nursing researches in this study. The awareness of the clusters and bursts in this field can help nursing researchers avoid overlooking some important issues when conducting SEM, and provide nurse researchers with good practice guidelines for conducting SEM.

Keywords

Nursing research; Structural equation modelling; bibliometric analysis; Visualization

Subject

Public Health and Healthcare, Nursing

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