The use and quality of reporting of Rasch analysis in nursing research: A methodological scoping review

拉什模型 多向拉希模型 评定量表 项目反应理论 奇纳 差异项目功能 梅德林 心理测量学 心理学 比例(比率) 护理文献 护理研究 应用心理学 临床心理学 医学 护理部 发展心理学 心理干预 替代医学 精神科 物理 病理 量子力学 政治学 法学
作者
Minna Stolt,Anders Kottorp,Riitta Suhonen
出处
期刊:International Journal of Nursing Studies [Elsevier BV]
卷期号:132: 104244-104244 被引量:17
标识
DOI:10.1016/j.ijnurstu.2022.104244
摘要

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.
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