An Approximation of A Hierarchical Logistic Regression Model Used to Establish The Predictive Validity of Scores on A Nursing Licensure Exam  

Oleh:

Schmidt, Amy Elizabeth

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Educational and Psychological Measurement vol. 60 no. 3 (2000), page 463-477.
Topik: hierarchical linear modeling; tests; nurses; licensing
Fulltext: 463.pdf (88.35KB)

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Perpustakaan Pusat (Semanggi) Nomor Panggil: EE30.5 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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A validity study was conducted to examine the degree to which diagnostic readiness rest (DRT) scores and pre - admissions test scores could predict success or failure on the national council licensure examination for registered nurses (NCLEX - RN). Data were obtained from 5,698 students in 135 schools of nursing on three measures : DRT scores, pre - admissions test scores and success or failure on the NCLEX - RN. An approximation of a hierarchical logistic regression model was used in the analysis. Results indicate that the DRT is the only significant predictor of NCLEX - RN performance and that the DRT is a stronger predictor for baccalaureate graduates than for non baccalaureate graduates. Directions for further research are suggested.

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