Tests for equality of variances between two samples which contain both paired observations and independent observations

Derrick, Ben; Ruck, Annalise; Toher, Deirdre; White, Paul

Abstract

Tests for equality of variances between two samples which contain both paired observations and independent observations are explored using simulation. New solutions which make use of all of the available data are put forward. These new approaches are compared against standard approaches that discard either the paired observations or the independent observations. The approaches are assessed under equal variances and unequal variances, for two samples taken from the same distribution. The results show that the newly proposed solutions offer Type I error robust alternatives for the comparison of variances, when both samples are taken from the same distribution.

Citation

Derrick, B., Ruck, A., Toher, D., & White, P. (2018). Tests for equality of variances between two samples which contain both paired observations and independent observations. Journal of Applied Quantitative Methods, 13(2),

• Journal Article Type: Article
• Acceptance Date: Sep 18, 2018
• Publication Date: Jun 30, 2018
• Deposit Date: Sep 19, 2018
• Publicly Available Date: Oct 3, 2018
• Journal: Journal of Applied Quantitative Methods
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Issue: 2
• Keywords: Brown-Forsythe test, equal variances, partially overlapping samples, Pitman-Morgan test, simulation, robustness
• Public URL: https://uwe-repository.worktribe.com/output/865549
• Publisher URL: http://www.jaqm.ro/issues/volume-13,issue-2/3_BEANDEPA.PHP
• Additional Information: Additional Information : This is the author's accepted manuscript. The final published version is available here: http://www.jaqm.ro/issues/volume-13,issue-2/3_BEANDEPA.PHP