Psychometric Data and Survival in a College of Nursing

Author:

Beaver Alma P.1

Affiliation:

1. University of California, Santa Barbara College

Abstract

A comparison of abilities and personality attributes of nursing students on the basis of pre-entrance testing data is made for a successful graduating group and an unsuccessful drop-out group. 89 students admitted to the college of nursing in 1949, 1950, and 1951 were studied. 49 graduated; 40 dropped out. Of these 40, 18 were dismissed for “scholastic failure”; 6 dropped out reportedly because they “disliked nursing.” For the remainder, marriage, personal reasons, college attendance, and illness are the reasons listed in the college records. 51% of the 40 drop-out students were identified as “poor risks” in the recommendation of the psychologist, while only 4% of the 49 who graduated were similarly identified. Since academic success at college level is essential for remaining in training, it is not surprising that L or the T percentile of the ACE is the most effective single index in predicting success or failure. The CRs for the mean percentile difference are 3.07 and 2.96 for the L and T factors respectively, significant at the .01 level of confidence. Although group differences on the Kuder Preference Record are not statistically significant, the CRs for three scales, Literary, Social Service, and Clerical, approached significance (1.97, 1.87, and 1.76). Mean scores for all scales on the MMPI were almost identical for the two groups. Careful screening through various means for identification of gross personality defects before admission is suggested as a reason for negative findings.

Publisher

SAGE Publications

Subject

General Psychology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3