Literature DB >> 22989303

Nursing competence: psychometric evaluation using Rasch modelling.

Marianne Müller1.   

Abstract

AIM: To test the psychometric properties and evaluate the German version of the Nurse Competence Scale.
BACKGROUND: Nursing competence is an important factor for high-quality healthcare. However, there are only few instruments available, which try to assess nurse competence and there is limited knowledge about the psychometric quality of any of these instruments.
DESIGN: A cross-sectional survey of 679 nurses was used.
METHOD: Analysis of the psychometric properties of the 73-item Nurse Competence Scale was undertaken using confirmatory factor analyses and Rasch modelling with data generated in a study in 2007.
RESULTS: The 7-factor model of the Nurse Competence Scale could not be confirmed. However, six scales consisting of 54 items demonstrated adequate fit to the Rasch model. The six subscales could also be combined into an overall competence scale.
CONCLUSIONS: There are concerns about the psychometric properties of the Nurse Competence Scale. The reduced set of items removes redundancy among items, is free from item bias and constitutes six unidimensional scales.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 22989303     DOI: 10.1111/jan.12009

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  2 in total

Review 1.  Registered nurses in expanded roles improve care in nursing homes: Swiss perspective based on the modified Delphi method.

Authors:  Kornelia Basinska; Nathalie I H Wellens; Michael Simon; Andreas Zeller; Reto W Kressig; Franziska Zúñiga
Journal:  J Adv Nurs       Date:  2020-11-22       Impact factor: 3.187

2.  The Professional Nurse Self-Assessment Scale: Psychometric testing in Norwegian long term and home care contexts.

Authors:  Elisabeth Finnbakk; Sigrid Wangensteen; Kirsti Skovdahl; Lisbeth Fagerström
Journal:  BMC Nurs       Date:  2015-11-16
  2 in total

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