A holistic admission process for multiple campuses and programs to enhance student success
Review TypeAbstract Review Only: Reviewed by Event Host
Repository Posting Date2020-03-02T16:33:11Z
Author(s)Veesart, Amanda L.; Cannon, Sharon B.; Sridaromont, Kathryn; Sikes, Deborah L.; Kilcrease, Dakota W.
Author DetailsAmanda 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
Lead Author Sigma AffliationNon-member
Level of EvidenceN/A
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.
Conference NameNursing Education Research Conference 2020: Transforming Nursing Education Through Evidence Generation and Translation
Conference LocationWashington, DC, USA
NotesAll rights reserved by author(s)/presenter(s) unless otherwise stated in this item record or attached files.
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