Predicting students' academic and licensure success: A review of methods for high-stakes faculty decision making

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.