دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Use of the Rasch Model for Fit Statistics and Rating Scale Diagnosis for the Student Perception Appraisal-Revised.
المؤلفون: Hawkins RJ; Old Dominion University School of Nursing, Virginia Beach, VA, USA., Hawkins J; Old Dominion University School of Nursing, Virginia Beach, VA, USA Jhawkins@odu.edu., Tremblay B; Old Dominion University School of Nursing, Virginia Beach, VA, USA., Wiles L; Old Dominion University School of Nursing, Virginia Beach, VA, USA., Higgins K; Old Dominion University School of Nursing, Virginia Beach, VA, USA.
المصدر: Journal of nursing measurement [J Nurs Meas] 2023 Nov 21. Date of Electronic Publication: 2023 Nov 21.
Publication Model: Ahead of Print
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Springer Pub. Co Country of Publication: United States NLM ID: 9318902 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1945-7049 (Electronic) Linking ISSN: 10613749 NLM ISO Abbreviation: J Nurs Meas Subsets: MEDLINE
أسماء مطبوعة: Original Publication: New York : Springer Pub. Co., c1993-
مستخلص: Background and Purpose: Nursing student retention is essential to meet workforce demands. Jeffrey's 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.
(© Copyright 2023 Springer Publishing Company, LLC.)
فهرسة مساهمة: Keywords: Item Response Theory (IRT); assessment tools; measurement/statistical methods; rasch models; topic areas
تواريخ الأحداث: Date Created: 20231121 Latest Revision: 20231121
رمز التحديث: 20240829
DOI: 10.1891/JNM-2022-0122
PMID: 37989504
قاعدة البيانات: MEDLINE
الوصف
تدمد:1945-7049
DOI:10.1891/JNM-2022-0122