Other Titles
Special Session
Abstract
Do you ever wish you had a clear-cut method for evaluating the predictive validity and classification accuracy of standardized exams when establishing admission, progression, and high-stakes testing policy for your nursing students? If you or your faculty colleagues have struggled to establish evidence-based admissions criteria or to evaluate what standardized test score threshold is most predictive of NCLEX-RN outcomes within your program, this session is for you. The purpose of this session is to explore powerful but accessible methods for evaluating the accuracy of binary (e.g., yes/no, pass/fail) decisions including diagnostic/classification accuracy and ROC (receiver operating characteristics) curves. In addition to a detailed discussion and demonstration of various software tools, attendees will be provided access to a detailed spreadsheet application for use in their own programs.
Sigma Membership
Iota Mu
Type
Presentation
Format Type
Text-based Document
Research Approach
N/A
Keywords:
Nursing Education, Testing, Testing Validity
Recommended Citation
Johnson, Brandon Kyle, "Predicting students' academic and licensure success: A review of methods for high-stakes faculty decision making" (2020). NERC (Nursing Education Research Conference). 198.
https://www.sigmarepository.org/nerc/2020/presentations_2020/198
Conference Name
Nursing Education Research Conference 2020
Conference Host
Sigma Theta Tau International,National League for Nursing
Conference Location
Washington, DC, USA
Conference Year
2020
Rights Holder
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All permission requests should be directed accordingly and not to the Sigma Repository.
All submitting authors or publishers have affirmed that when using material in their work where they do not own copyright, they have obtained permission of the copyright holder prior to submission and the rights holder has been acknowledged as necessary.
Review Type
Abstract Review Only: Reviewed by Event Host
Acquisition
Proxy-submission
Predicting students' academic and licensure success: A review of methods for high-stakes faculty decision making
Washington, DC, USA
Do you ever wish you had a clear-cut method for evaluating the predictive validity and classification accuracy of standardized exams when establishing admission, progression, and high-stakes testing policy for your nursing students? If you or your faculty colleagues have struggled to establish evidence-based admissions criteria or to evaluate what standardized test score threshold is most predictive of NCLEX-RN outcomes within your program, this session is for you. The purpose of this session is to explore powerful but accessible methods for evaluating the accuracy of binary (e.g., yes/no, pass/fail) decisions including diagnostic/classification accuracy and ROC (receiver operating characteristics) curves. In addition to a detailed discussion and demonstration of various software tools, attendees will be provided access to a detailed spreadsheet application for use in their own programs.