An approximation of a hierarchical logistic regression model used to establish the predictive validity of scores on a nursing licensure exam

Authors
Citation
Ae. Schmidt, An approximation of a hierarchical logistic regression model used to establish the predictive validity of scores on a nursing licensure exam, EDUC PSYC M, 60(3), 2000, pp. 463-478
Citations number
29
Categorie Soggetti
Psycology
Journal title
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
ISSN journal
00131644 → ACNP
Volume
60
Issue
3
Year of publication
2000
Pages
463 - 478
Database
ISI
SICI code
0013-1644(200006)60:3<463:AAOAHL>2.0.ZU;2-C
Abstract
A validity study was conducted to examine the degree to which Diagnostic Re adiness Test (DRT) scores and Pre-Admissions Test scores could predict succ ess or failure on the National Council Licensure Examination for Registered Nurses (NCLEX-RN). Data were obtained from 5,698 students in 135 schools o f nursing on three measures: DRT scores, Pre-Admissions Test scores, and su ccess or failure on the NCLEX-RN. An approximation of a hierarchical logist ic 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 nonbaccalaure ate graduates. Directions for further research are suggested.