A holistic admission process for multiple campuses and programs to enhance student success
Acquisition Type
Proxy-submissionReview Type
Abstract Review Only: Reviewed by Event HostRepository Posting Date
2020-03-02T16:33:11ZAuthor(s)
Veesart, Amanda L.; Cannon, Sharon B.; Sridaromont, Kathryn; Sikes, Deborah L.; Kilcrease, Dakota W.Author 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, USALead Author Sigma Affliation
Non-memberType
PresentationFormat
Text-based DocumentLevel of Evidence
N/AResearch Approach
N/AAbstract
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 Name
Nursing Education Research Conference 2020: Transforming Nursing Education Through Evidence Generation and TranslationConference Location
Washington, DC, USAConference Year
2020Conference Identifier
NERC20E02Notes
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