Kysor, Kragg and Parente, Frederick (2023) Development of a Distribution Free Multivariate Canonical Analysis. International Journal of Quantitative and Qualitative Research Methods, 11 (1). pp. 47-59. ISSN 2056-3620(Print), 2056-3639(Online)
![[thumbnail of Development.pdf]](https://tudr.org/style/images/fileicons/text.png)
Text
Development.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
Download (515kB)
Abstract
This study illustrates the use of Median Polish analysis (MP) as a distribution free procedure that can be used to identify multivariate canonical data structures. The MP may be especially useful in situations where the sample sizes are small, or where the distributions do not meet the assumptions of conventional Canonical Correlation analysis (CC). We begin by comparing the CC and MP analyses with a sample multivariate data set. We go on to compare Type 1 error rates for each of these analyses using Monte Carlo procedures in which we manipulated sample size and skewness of the data distributions. Results indicated that Type 1 error was significantly higher for the CC relative to the MP when the distributions were skewed and/or when the sample sizes were n=20 or 30
| Item Type: | Article |
|---|---|
| Subjects: | L Education > L Education (General) |
| Depositing User: | Professor Mark T. Owen |
| Date Deposited: | 21 Sep 2023 17:46 |
| Last Modified: | 21 Sep 2023 17:46 |
| URI: | https://tudr.org/id/eprint/2229 |
Actions (login required)
- View Item
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)