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预测本科课程中的学生流失情况。

Predicting student attrition in a baccalaureate curriculum.

作者信息

Knopke H J

出版信息

Nurs Res. 1979 Jul-Aug;28(4):224-7.

PMID:255920
Abstract

A longitudinal study of enrollment data of the Universtiy of Wisconsin--Madison School of Nursing identified several trends in student attrition over a six-year period and formed the basis for the development of a model to predict student attrition. The model proposed to satisfy the need for more precise measures of probable student retention and attrition for counseling and planning purposes in the school's new curriculum. To arrive at a means for predicting student attrition, scores of random samples of continuing and dropout student on achievement, learning style, and psychologial variables obtained during the first three years of the new curriculum were examined using a discriminant analysis technique. A significant differentiation between continuing and dropout students (p less than .000) resulted and allowed a predictive function to be developed. Using a conservative method of identification with student scores transformed by this function, predictions of successful and nonsuccessful students were obtained.

摘要

一项对威斯康星大学麦迪逊分校护理学院入学数据的纵向研究确定了六年期间学生流失的若干趋势,并为开发一个预测学生流失的模型奠定了基础。该模型旨在满足学校新课程中为咨询和规划目的而对学生可能的留校和流失情况进行更精确衡量的需求。为了找到预测学生流失的方法,使用判别分析技术对新课程前三年中持续就读和辍学学生在成绩、学习风格和心理变量方面的随机样本分数进行了检验。持续就读和辍学学生之间产生了显著差异(p小于0.000),从而得以开发出一个预测函数。通过用此函数转换学生分数的保守识别方法,得出了成功学生和未成功学生的预测结果。

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