The predictive strength of academic achievement in passing the Philippine nurse licensure examination
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Author Information
- Author(s)
- Details
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Jordan Llego, PhD, RN, FRIHC, FRIN, FRIRes; Salman Al-Saqri, PhD, RN -- College of Nursing, University of Hail, Hail, Saudi Arabia; Ellen Gabriel, MAN, RN; Jennie Corpus, RN -- College of Nursing and Midwifery, University of Luzon, Dagupan City, Philippines
- Sigma Affiliation
- Phi Gamma (Virtual)
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Abstract
This study predicts the strength of classroom (Nursing Care Management (NCM) courses), clinical (Related Learning Experiences (RLE) courses), and pre-board performance of nursing graduates in a Private University Pangasinan.
Repository Posting Date
2020-02-25T14:31:10Z
Notes
All rights reserved by author(s)/presenter(s) unless otherwise stated in this item record or attached files.
Type Information
| Type | Presentation |
| Acquisition | Proxy-submission |
| Review Type | Abstract Review Only: Reviewed by Event Host |
| Format | Text-based Document |
Category Information
| Evidence Level | N/A |
| Research Approach | N/A |
| Keywords | Nursing Education; Philippines Nurse Licensure Examination; Regression Analysis |
Conference Information
| Name | Nursing Education Research Conference 2020: Transforming Nursing Education Through Evidence Generation and Translation |
| Host | Sigma Theta Tau International; National League for Nursing |
| Location | Washington, DC, USA |
| Date | 2020 |
Rights Holder
All rights reserved by the author(s) and/or publisher(s) listed in this item record unless relinquished in whole or part by a rights notation or a Creative Commons License present in this item record.
All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
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