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Rasch Analysis of the Multidimensional Clinical Competency Instrument for Newly Graduated Nurses
Lianfeng Wang1,2, Junlin Chen2, Othman Talib2
1Faculty of Health Care and Nursing, Tianfu College of Southwestern University of Finance and Economics, Chengdu, China 1002371844@ucsiuniversity.edu.my 617121328@qq.com.
Abstract:
Background and Purpose: This study evaluated the psychometric properties of the 46-item Multidimensional Clinical Competency Instrument (MCCI) for newly graduated nurses (NGNs) using Rasch analysis. Methods: A national sample of 405 NGNs completed the MCCI on a 5-point scale. Due to the underutilization of the lowest category, it was combined with the next one, resulting in a 4-point scale. Each of the six subscales was analyzed separately using the Partial Credit Model. Results: Most items fit Rasch expectations. Collapsing categories resolved threshold disordering. Person reliability was high (expected a posteriori = .95), with six strata; item reliability was .99. Wright maps showed mild ceiling effects but acceptable targeting. Conclusions: The revised MCCI offers reliable, interval-level scores across subscales. A few misfitting items were retained for content coverage. The instrument supports competence assessment, feedback, and program evaluation, with further validation recommended.
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