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
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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 | Acquisition | Review type | Format |
|---|---|---|---|
| Presentation | Proxy-submission | Abstract Review Only: Reviewed by Event Host | Text-based Document |
Category Information
| Level of Evidence | Research Approach | Keywords |
|---|---|---|
| N/A | N/A | Holistic Admisssion Process; Predictive Analytics; Quality Improvement; |
Conference Information
| Name | Host | Location | Year | Nursing Education Research Conference 2020: Transforming Nursing Education Through Evidence Generation and Translation | Sigma Theta Tau International ; National League for Nursing | Washington, DC, USA | 2020 |
|---|
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