A holistic admission process for multiple campuses and programs to enhance student success
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Author Information
- Author(s)
- Details
-
Amanda L. Veesart, PhD, RN, CNE; Deborah L. Sikes, DNP, RN, CNE; Dakota W. Kilcrease, MBA -- School of Nursing, Texas Tech University Health Sciences Center, Lubbock, Texas, USA; Sharon B. Cannon, EdD, RN, ANEF, School of Nursing, Texas Tech University Health Sciences Center School of Nursing, Odessa, Texas, USA; Kathryn Sridaromont, PhD, RN, Traditional BSN Program, Texas Tech University Health Sciences Center, Lubbock, Texas, USA
- Sigma Affiliation
- Non-member
Item Information
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Abstract
A predictive analytics task force identified patterns and variables influencing the selection of a diverse group of competent students with the ability to not only graduate, but also to be licensed and have a smooth transition to practice.
Repository Posting Date
2020-03-02T16:33:11Z
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 | Holistic Admisssion Process; Predictive Analytics; Quality Improvement |
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
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