Measure of association

Guan-Hua Huang

doi:10.1016/B978-0-08-044894-7.01342-7

Measure of association

Guan-Hua Huang^*

^*Corresponding author for this work

Institute of Statistics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Scopus citations

Abstract

In this article, we provide recommendations for measures of association between two variables, where the type of variable can be continuous, discrete ordinal, or discrete nominal. When there exist confounding effects or tied data, appropriate adjustment should be made. Through the article, examples are provided for illustration.

Original language	English
Title of host publication	International Encyclopedia of Education
Publisher	Elsevier Ltd
Pages	260-263
Number of pages	4
ISBN (Print)	9780080448947
DOIs	https://doi.org/10.1016/B978-0-08-044894-7.01342-7
State	Published - 2010

Keywords

Agreement
Cochran-Mantel-Haenszel procedure
Continuous
Correlation
Kappa statistic
Kendall's tau
Nominal
Odds ratio
Ordinal
Partial correlation
Rank correlation

Access to Document

10.1016/B978-0-08-044894-7.01342-7

Cite this

@inbook{bd2546b15aca41a5a02b79a3bd1a98ea,

title = "Measure of association",

abstract = "In this article, we provide recommendations for measures of association between two variables, where the type of variable can be continuous, discrete ordinal, or discrete nominal. When there exist confounding effects or tied data, appropriate adjustment should be made. Through the article, examples are provided for illustration.",

keywords = "Agreement, Cochran-Mantel-Haenszel procedure, Continuous, Correlation, Kappa statistic, Kendall's tau, Nominal, Odds ratio, Ordinal, Partial correlation, Rank correlation",

author = "Guan-Hua Huang",

year = "2010",

doi = "10.1016/B978-0-08-044894-7.01342-7",

language = "English",

isbn = "9780080448947",

pages = "260--263",

booktitle = "International Encyclopedia of Education",

publisher = "Elsevier Ltd",

address = "英國",

}

TY - CHAP

T1 - Measure of association

AU - Huang, Guan-Hua

PY - 2010

Y1 - 2010

N2 - In this article, we provide recommendations for measures of association between two variables, where the type of variable can be continuous, discrete ordinal, or discrete nominal. When there exist confounding effects or tied data, appropriate adjustment should be made. Through the article, examples are provided for illustration.

AB - In this article, we provide recommendations for measures of association between two variables, where the type of variable can be continuous, discrete ordinal, or discrete nominal. When there exist confounding effects or tied data, appropriate adjustment should be made. Through the article, examples are provided for illustration.

KW - Agreement

KW - Cochran-Mantel-Haenszel procedure

KW - Continuous

KW - Correlation

KW - Kappa statistic

KW - Kendall's tau

KW - Nominal

KW - Odds ratio

KW - Ordinal

KW - Partial correlation

KW - Rank correlation

UR - http://www.scopus.com/inward/record.url?scp=84884423171&partnerID=8YFLogxK

U2 - 10.1016/B978-0-08-044894-7.01342-7

DO - 10.1016/B978-0-08-044894-7.01342-7

M3 - Chapter

AN - SCOPUS:84884423171

SN - 9780080448947

SP - 260

EP - 263

BT - International Encyclopedia of Education

PB - Elsevier Ltd

ER -

Measure of association

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this