高等教育
方案(数学)
分类方案
列联表
持久性(不连续性)
背景(考古学)
度量(数据仓库)
意外事故
简单(哲学)
计算机科学
预测效度
数据科学
数据挖掘
机器学习
认识论
数学
统计
政治学
地理
工程类
哲学
考古
数学分析
岩土工程
法学
标识
DOI:10.1080/03075079.2015.1111323
摘要
Within higher education systems, different institutions deliver different patterns of disciplines. A simple analysis of the structure of that pattern of disciplines across institutions in one higher education system uncovers a surprising relationship. That is, the key dimensions which describe that structure align nearly perfectly with dimensions discovered in a very different context: the Biglan classification scheme. This paper explains correspondence analysis as a mechanism for uncovering structure in simple contingency tables, shows the accuracy of the fit with Biglan's scheme and demonstrates that the analysis also has a measure of predictive validity in its ability to classify previously unclassified disciplines. The study not only acts as a more accurate validation of Biglan's scheme than those previously undertaken, but indicates that a scheme developed in the USA in the 1970s has current validity in a very different higher education system and suggests disciplines as a core genotype of institutions.
科研通智能强力驱动
Strongly Powered by AbleSci AI