Literature DB >> 33960677

Validating the Implementation Leadership Scale in Chinese nursing context: A cross-sectional study.

Jiale Hu1,2, Wendy Gifford2,3, Hong Ruan4,5, Denise Harrison2,6, Qingge Li7, Mark G Ehrhart8, Mary-Ann Harrison9, Nick Barrowman9, Gregory A Aarons10,11,12.   

Abstract

AIM: This study aimed to evaluate the validity, reliability and acceptability of the Implementation Leadership Scale in the Chinese nursing context.
DESIGN: This study utilized a cross-sectional design.
METHODS: This study was conducted in one general tertiary hospital with 234 nurses (85.3% response rate) from 35 clinical units in China. Content validity, structural validity, convergent validity, reliability (internal consistency), agreement indices and acceptability were evaluated. The data collection was from December 1st, 2017 to June 30th, 2018.
RESULTS: Confirmatory factor analysis demonstrated a good model fit to the four-factor implementation leadership model. The psychometric testing also indicated good convergent validity, high internal consistency and acceptable aggregation. Most participants completed the scale in two minutes or less and agreed or strongly agreed that the questions were relevant to implementation leadership, clear and easy to answer.
CONCLUSIONS: This study demonstrated that the Chinese Implementation Leadership Scale is a valid, reliable and pragmatic tool for measuring strategic leadership for implementing evidence-based practices.
© 2021 The Authors. Nursing Open published by John Wiley & Sons Ltd.

Entities:  

Keywords:  China; evidence-based practice; health services research; leadership; nursing; psychometrics

Year:  2021        PMID: 33960677     DOI: 10.1002/nop2.888

Source DB:  PubMed          Journal:  Nurs Open        ISSN: 2054-1058


  1 in total

1.  How is leadership behavior associated with organization-related variables? Translation and psychometric evaluation of the implementation leadership scale in German primary healthcare.

Authors:  Sara Söling; Holger Pfaff; Ute Karbach; Lena Ansmann; Juliane Köberlein-Neu
Journal:  BMC Health Serv Res       Date:  2022-08-20       Impact factor: 2.908

  1 in total

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