Use of the Rasch Model for Fit Statistics and Rating Scale Diagnosis for the Student Perception Appraisal.

IF 0.7 Q4 NURSING Journal of nursing measurement Pub Date : 2024-10-24 DOI:10.1891/JNM-2022-0122
Robert J Hawkins, Janice Hawkins, Beth Tremblay, Lynn Wiles, Karen Higgins
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Abstract

Background and Purpose: Nursing student retention is essential to meet workforce demands. Jeffreys' Nursing Student Retention Student Perception Appraisal-Revised (SPA-R1) has been used extensively to understand factors that impact retention. Psychometric testing of the SPA-R1 contributes to greater confidence in the instrument's reliability and validity. Methods: Item response theory and specifically, the single parameter polytomous Rasch model was used as a framework for fit statistic testing and rating scale diagnostics of the SPA-R1. This was a secondary analysis of a convenience sample of undergraduate prelicensure nursing students. The setting for the previous study was virtual, and the study period was 2022. Results: The model item characteristic curves for the 27 items of the SPA-R1 have similar shapes and are clustered in proximity. Overall, there are three clusters of items evident in the Rasch standardized residual contrast. The Rasch scale diagnostics indicated that the scale appropriately monotonically increases. However, there is a greater than 5 logit distance between does not apply and severely restricts, between severely restricts and moderately restricts, and between does not restrict or support and moderately supports. These large threshold distances indicate that additional steps in the scale may be warranted. The items cover the mid-range of the amount of retention perceptions; however, there are no items that represent the highest magnitude of the perceived amount of influence on retention. Conclusions: This study contributes further evidence to support the validity and reliability of the SPA-R1. We recommend adding steps to the scale, removing the does not apply response option, and considering scoring by three domains or clusters.

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使用Rasch模型进行拟合统计和评定量表诊断学生知觉评估-修订。
背景与目的:护理专业学生的保留是满足劳动力需求的必要条件。杰弗里的护理学生保留率学生知觉评估-修订(SPA-R1)被广泛用于了解影响保留率的因素。对SPA-R1进行心理测试有助于提高对仪器的信度和效度的信心。方法:采用项目反应理论和单参数多分Rasch模型作为拟合统计检验和评定量表诊断的框架。这是对获得护理执照的本科学生的便利样本的二次分析。前一项研究的背景是虚拟的,研究时间是2022年。结果:SPA-R1的27个项目的模型项目特征曲线形状相似,呈邻近聚类。总的来说,在Rasch标准化残差对比中有三组明显的项目。拉什量表诊断表明,该量表适当地单调增加。但不适用与严格限制之间、严格限制与适度限制之间、不适用或支持与适度支持之间存在大于5 logit的距离。这些大的阈值距离表明,在尺度上可能需要额外的步骤。这些项目涵盖了留存率的中等范围;然而,没有任何项目对留存率的影响是最大的。结论:本研究进一步支持了SPA-R1的效度和信度。我们建议在量表中增加步骤,删除不适用的回答选项,并考虑按三个域或集群评分。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
53
期刊介绍: The Journal of Nursing Measurement specifically addresses instrumentation in nursing. It serves as a prime forum for disseminating information on instruments, tools, approaches, and procedures developed or utilized for measuring variables in nursing research, practice, and education. Particular emphasis is placed on evidence for the reliability and validity or sensitivity and specificity of such instruments. The journal includes innovative discussions of theories, principles, practices, and issues relevant to nursing measurement.
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