How to use emerging technology to predict success in undergraduate nursing programs
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Amanda L. Veesart, PhD, RN, CNE - School of Nursing, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Kathryn Sridaromont, PhD, RN - Traditional BSN Program, Texas Tech University Health Sciences Center, Lubbock, TX, USA; Sharon Cannon, EdD, RN, ANEF - School of Nursing, Texas Tech University Health Sciences Center, Odessa, TX, USA
- Sigma Affiliation
- Non-member
- Contributor Affiliation(s)
- Texas Tech University Health Sciences Center, Lubbock, Texas, USA
Emerging technology has the power to impact institutions of higher education using predictive analytics. It is critical that nursing programs admit students with the highest probability of success. This study identified relationships between independent variables related to pre-nursing requirements and the dependent variable of successful completion of the nursing program.
45th Biennial Convention 2019 Theme: Connect. Collaborate. Catalyze.
| Type | Poster |
| Acquisition | Proxy-submission |
| Review Type | Abstract Review Only: Reviewed by Event Host |
| Format | Text-based Document |
| Evidence Level | N/A |
| Research Approach | N/A |
| Keywords | Admissions; Predicting Success in Nursing School; Predictive Models |
| Name | 45th Biennial Convention |
| Host | Sigma Theta Tau International |
| Location | Washington, DC, USA |
| Date | 2019 |
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