A STATISTICAL PROFILE FOR PREDICTING SUCCESS ON THE TEXAS STATE BOARD VOCATIONAL NURSING EXAMINATION (PRACTICAL NURSE).
Contributors: Texas Tech University.
Published: 1984
Number of pages: 100
Subjects: Education, Higher.
Description: The failure rate of Vocational Nursing graduates on the State Board Licensure Examination is excessively high. The failure rate does not occur during the program of study, but comes after the successful completion of a state board mandated curriculum and graduation from a state approved nursing school.

The present admission process to vocational nursing schools is in itself not a sufficient tool to successfully predict the students' ability to pass the Texas State Board Examination for Vocational Nurses. The present study addresses the question, is there a variable or combination of variables as measured by standardized test scores and/or demographic information available on entering vocational nursing students that will be predictive of success on the State Board of Vocational Nursing Examination? Therefore, the purpose of the study was to establish a prediction equation, for counseling purposes, that will be predictive of success on the State Board Licensure Examination.

The predictive variables are standardized nursing school entrance examination scores which include: general mental ability, spelling, science, judgment, and personal adjustment. Other variables are high school grade average or GED scores, size of high school attended, number of times tested, number of dependent children, age, and previous health related work experience.

The data collected were subjected to a multiple correlation/multiple regression multivariate technique to determine the relationship and interrelationship of the variables, and the combination of variables that can be used most accurately to predict success. The computer output provided several correlation coefficients that were significant to the dependent variable as well as significant interrelationships between several independent variables.

The resulting statistics in the form of constants and partial regression coefficients from four graduating vocational nursing classes (n = 189) were then applied to a fifth graduating class (n = 31) whose state board examination scores were known to establish the accuracy of the prediction equation. Two prediction models, both significant, were developed for future use in program admission and counseling.
Notes: Source: Dissertation Abstracts International, Volume: 46-02, Section: A, page: 0363.

Thesis (ED.D.)--TEXAS TECH UNIVERSITY, 1984.

School code: 0230.