ABSN Data
Description
Retrospective data records of accelerated BSN nursing students admitted to the CON from 2014-2018. Retrospective data records include the following variables: final 60 credit prerequisite GPA, science GPA, age, and gender, final scores on Health Assessment, Adult Health I, Adult Health II, and Fundamentals along with whether the student passed NCLEX-RN on a first attempt.
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Before data collection and analysis, a G*power analysis using the logistic regression function determined sample size (Appendix C). This analysis found that the study sample should include 300 or more participants. The study sample included 302 accelerated BSN students admitted to the CON's campus in Las Vegas, Nevada. The Dean of Nursing of the CON provided retrospective data records including the following variables: final 60 credit prerequisite GPA, science GPA, age, and gender, final scores on Health Assessment, Adult Health I, Adult Health II, and Fundamentals along with whether the student passed NCLEX-RN on a first attempt. The data were de-identified with a number coded for each student when received, and student personal information was unknown to the researcher. Data from 302 accelerated BSN students comprised this study because they had taken the NCLEX-RN exam and met the study criteria. Information regarding the passage of graduates on the NCLEX-RN was archival and provided to the CON from the Department of Education Licensing Board, Department of Public Health State of Nevada. . The data analysis procedure involved importing all data into Intellects Statistics software. Descriptive statistics analyzed the student input and throughput variables. These variables included: gender, age, last 60 credit prerequisite GPA score, Science prerequisite GPA score, Health Assessment Final Score, Adult Health I Final Score, Adult Health II Final Score, and Fundamentals Final Score. Successful first time NCLEX-RN passage represented the dependent variable. Individual predictor variable analysis determined if there was a relationship to the outcome variable passing NCLEX-RN on a first attempt. Data analysis utilized Pearson correlation analysis, the simple difference of two means, Chi-Squared Test for Independence, and Logistic Regression. Research question 1 covered the student input predictor variables, age, gender, science prerequisite GPA, and last 60 credits GPA. Research question 2 focused on student throughput predictor variables, final score on the core nursing courses of Health Assessment, Adult Health I, Adult Health II, and Fundamentals. Research question 3 addressed whether there was a statistically significant predictive relationship between any of the specific input and throughput predictor variables and the student success outcome of passing NCLEX-RN on a first attempt.