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Nursing competence: psychometric evaluation using R asch modelling
Author(s) -
Müller Marianne
Publication year - 2013
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1111/jan.12009
Subject(s) - rasch model , competence (human resources) , polytomous rasch model , confirmatory factor analysis , psychometrics , psychology , psychometric testing , item response theory , clinical psychology , structural equation modeling , social psychology , computer science , developmental psychology , cronbach's alpha , machine learning
Aim To test the psychometric properties and evaluate the G erman version of the N urse C ompetence S cale. 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 N urse C ompetence S cale was undertaken using confirmatory factor analyses and R asch modelling with data generated in a study in 2007. Results The 7‐factor model of the N urse C ompetence S cale 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 N urse C ompetence S cale. The reduced set of items removes redundancy among items, is free from item bias and constitutes six unidimensional scales.