The use and quality of reporting of Rasch analysis in nursing research: A methodological scoping review.
Nursing
Psychometrics
Rasch analysis
Reproducibility of results
Scoping review
Journal
International journal of nursing studies
ISSN: 1873-491X
Titre abrégé: Int J Nurs Stud
Pays: England
ID NLM: 0400675
Informations de publication
Date de publication:
Aug 2022
Aug 2022
Historique:
received:
14
12
2021
revised:
28
03
2022
accepted:
31
03
2022
pubmed:
1
6
2022
medline:
28
6
2022
entrez:
31
5
2022
Statut:
ppublish
Résumé
Rasch analysis is widely used in the life sciences. Rasch analysis is a mathematical and probabilistic model based on the assumption that the probability of passing a single item is governed by a person's ability and the difficulty of the item. However, its use in nursing science remains unclear. To (i) describe the use of Rasch analysis in nursing research and (ii) determine the quality of reporting in nursing studies using Rasch models. A methodological scoping review of literature was conducted. The systematic electronic literature search was initially conducted on 1 February 2020 and updated on 16 April 2021 from PubMed/Medline and CINAHL databases. The search was limited to covering the timeframe from the earliest literature available until 31 December 2020. The search terms used were Rasch, IRT, item response theory, and nursing. The search was limited to the English language and title/abstract level. The analysis included quantification and content analysis. In total, 388 hits were identified. Following a two-phase retrieval process, 88 articles were included in the final analysis. Rasch analysis was used to test the psychometric properties of the newly developed instrument, and validate or test a short version of the existing instrument. The reporting of Rasch analysis demonstrated large variability in quality. Rating scale functioning, internal scale validity using goodness-of-fit statistics, and unidimensionality were the most frequently reported outcomes. The use of Rasch analysis in nursing science was found to be unsystematic. Rasch analysis could provide new possibilities for investigating measurement properties. However, robust, comprehensive, and precise reporting of the methodological choices and results of Rasch analysis is needed. Furthermore, the use of Rasch analysis in nursing science is encouraged. WHAT THIS PAPER ADDS.
Sections du résumé
BACKGROUND
BACKGROUND
Rasch analysis is widely used in the life sciences. Rasch analysis is a mathematical and probabilistic model based on the assumption that the probability of passing a single item is governed by a person's ability and the difficulty of the item. However, its use in nursing science remains unclear.
AIM
OBJECTIVE
To (i) describe the use of Rasch analysis in nursing research and (ii) determine the quality of reporting in nursing studies using Rasch models.
METHODS
METHODS
A methodological scoping review of literature was conducted. The systematic electronic literature search was initially conducted on 1 February 2020 and updated on 16 April 2021 from PubMed/Medline and CINAHL databases. The search was limited to covering the timeframe from the earliest literature available until 31 December 2020. The search terms used were Rasch, IRT, item response theory, and nursing. The search was limited to the English language and title/abstract level. The analysis included quantification and content analysis.
RESULTS
RESULTS
In total, 388 hits were identified. Following a two-phase retrieval process, 88 articles were included in the final analysis. Rasch analysis was used to test the psychometric properties of the newly developed instrument, and validate or test a short version of the existing instrument. The reporting of Rasch analysis demonstrated large variability in quality. Rating scale functioning, internal scale validity using goodness-of-fit statistics, and unidimensionality were the most frequently reported outcomes.
CONCLUSION
CONCLUSIONS
The use of Rasch analysis in nursing science was found to be unsystematic. Rasch analysis could provide new possibilities for investigating measurement properties. However, robust, comprehensive, and precise reporting of the methodological choices and results of Rasch analysis is needed. Furthermore, the use of Rasch analysis in nursing science is encouraged.
WHAT IS ALREADY KNOWN
BACKGROUND
WHAT THIS PAPER ADDS.
Identifiants
pubmed: 35635906
pii: S0020-7489(22)00073-6
doi: 10.1016/j.ijnurstu.2022.104244
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
104244Informations de copyright
Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest None.