Journal article
Nursing competence: psychometric evaluation using Rasch modelling.
- Müller M Institute of Data Analysis and Process Design, School of Engineering, Zurich University of Applied Sciences, Winterthur, Switzerland. marianne.mueller@zhaw.ch
- 2012-09-20
Published in:
- Journal of advanced nursing. - 2013
Adult
Clinical Competence
Cross-Sectional Studies
Humans
Middle Aged
Models, Psychological
Nurses
Psychometrics
Surveys and Questionnaires
Young Adult
English
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.
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.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1111/jan.12009
- PMID 22989303
- Persistent URL
- https://susi.usi.ch/global/documents/175867
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