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The Validity and Reliability of the Korean Version of Readiness for Practice Survey for nursing students

Journal of Korean Academy of Nursing 2022³â 52±Ç 6È£ p.564 ~ 581
KMID : 0806120220520060564
ÀÌÅÂÈ­ ( Lee Tae-Wha ) - Yonsei University College of Nursing

ÁöÀ±Á¤ ( Ji Yoon-Jung ) - Yonsei University College of Nursing
À±¿¹½½ ( Yoon Ye-Seul ) - Yonsei University College of Nursing

Abstract

Purpose: This study aimed to evaluate the validity and reliability of the Korean version of the Readiness for Practice Survey (K-RPS).

Method: The English Readiness for Practice Survey was translated into Korean using the Translation, Review, Adjudication, Pretesting, and Documentation (TRAPD) method. Secondary data analysis was performed using the dataset from the New Nurse e-Cohort study (Panel 2020) in South Korea. This study used a nationally representative sample of 812 senior nursing students. Exploratory and confirmatory factor analyses were also conducted. Convergent validity within the items and discriminant validity between factors were assessed to evaluate construct validity. Construct validity for hypothesis testing was evaluated using convergent and discriminant validity. Ordinary ¥á was used to assess reliability.
Results: The K-RPS comprises 20 items examining four factors: clinical problem solving, learning experience, professional responsibilities, and professional preparation. Although the convergent validity of the items was successfully verified, discriminant validity between the factors was not. The K-RPS construct validity was verified using a bi-factor model (CMIN/DF 2.20, RMSEA .06, TLI .97, CFI .97, and PGFI .59). The K-RPS was significantly correlated with self-esteem (r = .43, p < .001) and anxiety about clinical practicum (r = - .50, p <.001). Internal consistency was reliable based on an ordinary ¥á of .88.

Conclusion: The K-RPS is both valid and reliable and can be used as a standardized Korean version of the Readiness for Practice measurement tool.
KeyWords

Education, Professional, Factor Analysis, Statistical, Reproducibility of Results, Nursing Education Research
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