globalchange  > 影响、适应和脆弱性
DOI: 10.7249/RR723
报告号: RR-723-OSD
报告题名:
United States Service Academy Admissions: Selecting for Success at the Military Academy/West Point and as an Officer
作者: Lawrence M. Hanser; Mustafa Oguz
出版者: RAND Corporation
出版年: 2015
发表日期: 2015
总页数: 72
国家: 美国
语种: 英语
英文关键词: Educational Institutions ; Students ; Postsecondary Education Programs ; Military Career Field Management ; Military Officers ; Military Education and Training ; United States Army
英文摘要: This report explores the relationship between the current scoring of data for applicants to the U.S. Military Academy at West Point and two subsequent outcomes: probability of graduating and probability of officer promotion. These outcomes are important because when a cadet enters but does not graduate, he or she fills a class seat that could have been filled by someone else who might have graduated, and the cost cannot be recouped. The authors considered candidate scores on several characteristics, including aptitude, athletics, extracurriculars, faculty appraisal, and school ranking. Using a series of logistic regression models and a boosted logistic regression, the results suggest that the current candidate scoring system as the primary basis for admission decisions at West Point is effective.
URL: http://www.rand.org/content/dam/rand/pubs/research_reports/RR700/RR723/RAND_RR723.pdf
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/27867
Appears in Collections:影响、适应和脆弱性
科学计划与规划
气候减缓与适应
气候变化事实与影响
气候变化与战略

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
RAND_RR723.pdf(1005KB)研究报告--开放获取View Download

Recommended Citation:
Lawrence M. Hanser,Mustafa Oguz. United States Service Academy Admissions: Selecting for Success at the Military Academy/West Point and as an Officer. 2015-01-01.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Lawrence M. Hanser]'s Articles
[Mustafa Oguz]'s Articles
百度学术
Similar articles in Baidu Scholar
[Lawrence M. Hanser]'s Articles
[Mustafa Oguz]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Lawrence M. Hanser]‘s Articles
[Mustafa Oguz]‘s Articles
Related Copyright Policies
Null
收藏/分享
文件名: RAND_RR723.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.