<p> A severe and worsening nursing shortage exists in the United States. Increasing numbers of new graduate nurses are necessary to meet this demand. To address the concerns of increased nursing demand, leaders of nursing schools must ensure larger numbers of nursing students graduate. Prior to practicing as registered nurses in the United States, graduates of nursing schools must pass the National Council Licensure Examination for Registered Nurses (NCLEX-RN). Various companies, such as the Assessment Technologies Institute (ATI) and Kaplan have created NCLEX-RN predictor tests that report candidates’ chances of passing the NCLEX-RN. ATI created a test called the RN Comprehensive Predictor and Kaplan created an NCLEX-RN predictor examination called the Kaplan Readiness Test. Students with less than optimal scores on the predictor can remediate to improve their knowledge of nursing, critical thinking, and test-taking skills. The intent for the ATI RN Comprehensive Predictor and the Kaplan Readiness Test is to predict the probability of success on the NCLEX-RN. The focus of the quantitative study was the ability of the aforementioned examinations to predict both success and failure on the NCLEX-RN. The overall TEAS score did not have a significant relationship with NCLEX-RN results. However, the ATI TEAS Math score was significantly higher (<i>p</i> = .005) for students who passed the NCLEX-RN. Data analysis showed no significant relationship between the Kaplan NCLEX-RN Readiness Test and NCLEX-RN results (<i>p</i> > .05). A significant relationship between the ATI RN Comprehensive Predictor and the NCLEX-RN scores existed in both the total sample (<i>p</i> = .001) and the BSN subsample (<i> p</i> = .001). In the MSN student subsample, all 37 students passed the NCLEX on the first attempt.</p>
| Identifer | oai:union.ndltd.org:PROQUEST/oai:pqdtoai.proquest.com:3578585 |
| Date | 04 March 2014 |
| Creators | Santiago, Lawrence A. |
| Publisher | University of Phoenix |
| Source Sets | ProQuest.com |
| Language | English |
| Detected Language | English |
| Type | thesis |
Page generated in 0.0025 seconds