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对田纳西大学诺克斯维尔分校护理学院的七个选定变量与州立委员会测试题库考试成绩之间关系的分析。

An analysis of the relationship of seven selected variables to State Board Test Pool Examination performance of the University of Tennessee, Knoxville, College of Nursing.

作者信息

Sharp T G

出版信息

J Nurs Educ. 1984 Feb;23(2):57-63. doi: 10.3928/0148-4834-19840201-05.

Abstract

The study was designed to determine whether any one of seven selected variables or a combination of the variables is predictive of performance on the State Board Test Pool Examination. The selected variables studied were: high school grade point average (HSGPA), The University of Tennessee, Knoxville, College of Nursing grade point average (GPA), and American College Test Assessment (ACT) standard scores (English, ENG; mathematics, MA; social studies, SS; natural sciences, NSC; composite, COMP). Data utilized were from graduates of the baccalaureate program of The University of Tennessee, Knoxville, College of Nursing from 1974 through 1979. The sample of 322 was selected from a total population of 572. The Statistical Analysis System (SAS) was designed to accomplish analysis of the predictive relationship of each of the seven selected variables to State Board Test Pool Examination performance (result of pass or fail), a stepwise discriminant analysis was designed for determining the predictive relationship of the strongest combination of the independent variables to overall State Board Test Pool Examination performance (result of pass or fail), and stepwise multiple regression analysis was designed to determine the strongest predictive combination of selected variables for each of the five subexams of the State Board Test Pool Examination. The selected variables were each found to be predictive of SBTPE performance (result of pass or fail). The strongest combination for predicting SBTPE performance (result of pass or fail) was found to be GPA, MA, and NSC.

摘要

本研究旨在确定七个选定变量中的任何一个或这些变量的组合是否能预测州立委员会测试题库考试的成绩。所研究的选定变量包括:高中平均绩点(HSGPA)、田纳西大学诺克斯维尔分校护理学院平均绩点(GPA)以及美国大学考试评估(ACT)标准分数(英语,ENG;数学,MA;社会研究,SS;自然科学,NSC;综合,COMP)。所使用的数据来自田纳西大学诺克斯维尔分校护理学院1974年至1979年本科项目的毕业生。322个样本是从572人的总人群中选取的。统计分析系统(SAS)旨在分析七个选定变量中的每一个与州立委员会测试题库考试成绩(通过或未通过的结果)之间的预测关系,设计了逐步判别分析来确定自变量最强组合与州立委员会测试题库考试整体成绩(通过或未通过的结果)之间的预测关系,并且设计了逐步多元回归分析来确定州立委员会测试题库考试五个子考试中每个子考试选定变量的最强预测组合。结果发现,选定的每个变量都能预测州立委员会测试题库考试成绩(通过或未通过的结果)。发现预测州立委员会测试题库考试成绩(通过或未通过的结果)的最强组合是GPA、MA和NSC。

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