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Using Learning Outcome Measures to assess Doctoral Nursing Education
Published on: June 21, 2010
Predictors of Nursing Graduate School Success
Brady Patzer1, Elizabeth H Lazzara, Joseph R Keebler
1About the Authors Brady Patzer, MA, is a doctoral student, Wichita State University Department of Psychology, Wichita, Kansas. Elizabeth H. Lazzara, PhD, is an assistant professor, Embry-Riddle Aeronautical University Department of Human Factors, Daytona Beach, Florida. Joseph R. Keebler, PhD, is an assistant professor, Embry-Riddle Aeronautical University Department of Human Factors. Maha H. Madi, BA, is a graduate of Wichita State University Department of Psychology. Patricia Dwyer, MSN, APRN, FNP-C, is a clinical educator, Wichita State University School of Nursing. Alicia A. Huckstadt, PhD, APRN, FNP-BC, FAANP, is a professor and director of graduate programs, Wichita State University School of Nursing. Betty Smith-Campbell, PhD, APRN-CNS, is a professor, Wichita State University School of Nursing. For more information, write to Dr. Lazzara at LAZZARAE@erau.edu.
Abstract:
Several factors influence success in nursing graduate school. This study collected retrospective data from students in a nursing graduate program to determine which factors predict success. Data were analyzed using a multiple regression analysis to predict success (i.e., graduation grade point average [GPA]) from student characteristics. The predictors were nursing course GPA, undergraduate science GPA, GPA upon admission to nursing graduate school, experience in a specialty, and the duration of that experience. Results indicate that admission, nursing, and undergraduate science GPA are more important for predicting success than previous experience. The predictors account for approximately 80 percent of the variance (R = .80).
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