A quantitative and model-driven approach to assessing higher education in the United States of America

Zuqing Huang, Guanghua Qiu

Research output: Contribution to journalArticle

Abstract

Abstract: University ranking or higher education assessment in general has been attracting more and more public attention over the years. However, the subjectivity-based evaluation index and indicator selections and weights that are widely adopted in most existing ranking systems have been called into question. In other words, the objectivity and impartiality of those rankings has been worrisome. To address these concerns, this paper presents a quantitative and model-driven approach to acquiring the evaluation index and indicator weights in the US News & World Report ranking system. Structural equation modelling will be applied to mine non-subjective weights from collected data. The proposed approach will be validated using two groups of United States universities, National Universities and Liberal Arts Colleges, classified by the US News & World Report. Managerial and administrative implications will also be explored. This study shows a very promising future because it opens a new venue for the scholars and practitioners in the higher education assessment field to develop a real-time, scalable and model-driven higher education ranking system.

Original languageEnglish (US)
Pages (from-to)78-95
Number of pages18
JournalQuality in Higher Education
Volume22
Issue number1
DOIs
StatePublished - Jan 2 2016

Fingerprint

ranking
education
news
university ranking
objectivity
evaluation
subjectivity
art
university
Group

All Science Journal Classification (ASJC) codes

  • Education

Cite this

@article{0c7f92f8d29247d0a4a6db2edd7fc351,
title = "A quantitative and model-driven approach to assessing higher education in the United States of America",
abstract = "Abstract: University ranking or higher education assessment in general has been attracting more and more public attention over the years. However, the subjectivity-based evaluation index and indicator selections and weights that are widely adopted in most existing ranking systems have been called into question. In other words, the objectivity and impartiality of those rankings has been worrisome. To address these concerns, this paper presents a quantitative and model-driven approach to acquiring the evaluation index and indicator weights in the US News & World Report ranking system. Structural equation modelling will be applied to mine non-subjective weights from collected data. The proposed approach will be validated using two groups of United States universities, National Universities and Liberal Arts Colleges, classified by the US News & World Report. Managerial and administrative implications will also be explored. This study shows a very promising future because it opens a new venue for the scholars and practitioners in the higher education assessment field to develop a real-time, scalable and model-driven higher education ranking system.",
author = "Zuqing Huang and Guanghua Qiu",
year = "2016",
month = "1",
day = "2",
doi = "10.1080/13538322.2016.1147215",
language = "English (US)",
volume = "22",
pages = "78--95",
journal = "Quality in Higher Education",
issn = "1353-8322",
publisher = "Routledge",
number = "1",

}

A quantitative and model-driven approach to assessing higher education in the United States of America. / Huang, Zuqing; Qiu, Guanghua.

In: Quality in Higher Education, Vol. 22, No. 1, 02.01.2016, p. 78-95.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A quantitative and model-driven approach to assessing higher education in the United States of America

AU - Huang, Zuqing

AU - Qiu, Guanghua

PY - 2016/1/2

Y1 - 2016/1/2

N2 - Abstract: University ranking or higher education assessment in general has been attracting more and more public attention over the years. However, the subjectivity-based evaluation index and indicator selections and weights that are widely adopted in most existing ranking systems have been called into question. In other words, the objectivity and impartiality of those rankings has been worrisome. To address these concerns, this paper presents a quantitative and model-driven approach to acquiring the evaluation index and indicator weights in the US News & World Report ranking system. Structural equation modelling will be applied to mine non-subjective weights from collected data. The proposed approach will be validated using two groups of United States universities, National Universities and Liberal Arts Colleges, classified by the US News & World Report. Managerial and administrative implications will also be explored. This study shows a very promising future because it opens a new venue for the scholars and practitioners in the higher education assessment field to develop a real-time, scalable and model-driven higher education ranking system.

AB - Abstract: University ranking or higher education assessment in general has been attracting more and more public attention over the years. However, the subjectivity-based evaluation index and indicator selections and weights that are widely adopted in most existing ranking systems have been called into question. In other words, the objectivity and impartiality of those rankings has been worrisome. To address these concerns, this paper presents a quantitative and model-driven approach to acquiring the evaluation index and indicator weights in the US News & World Report ranking system. Structural equation modelling will be applied to mine non-subjective weights from collected data. The proposed approach will be validated using two groups of United States universities, National Universities and Liberal Arts Colleges, classified by the US News & World Report. Managerial and administrative implications will also be explored. This study shows a very promising future because it opens a new venue for the scholars and practitioners in the higher education assessment field to develop a real-time, scalable and model-driven higher education ranking system.

UR - http://www.scopus.com/inward/record.url?scp=84975105631&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84975105631&partnerID=8YFLogxK

U2 - 10.1080/13538322.2016.1147215

DO - 10.1080/13538322.2016.1147215

M3 - Article

AN - SCOPUS:84975105631

VL - 22

SP - 78

EP - 95

JO - Quality in Higher Education

JF - Quality in Higher Education

SN - 1353-8322

IS - 1

ER -