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Parametric and non-parametric tests for the comparison of two samples which both include paired and unpaired observations

Derrick, Ben; White, Paul; Toher, Deirdre

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Authors

Paul White Paul.White@uwe.ac.uk
Associate Professor in Applied Statistics



Abstract

Samples that include both independent and paired observations cause a dilemma for researchers that covers the full breadth of empirical research. Parametric approaches for the comparison of two samples using all available observations are considered, under normality and non-normality. These approaches are compared to naive and newly proposed non-parametric alternatives.

Journal Article Type Article
Publication Date May 1, 2019
Journal Journal of Modern Applied Statistical Methods
Print ISSN 1538-9472
Peer Reviewed Peer Reviewed
Volume 18
Issue 1
Article Number 9
APA6 Citation Derrick, B., White, P., & Toher, D. (2019). Parametric and non-parametric tests for the comparison of two samples which both include paired and unpaired observations. Journal of modern applied statistical methods : JMASM, 18(1), https://doi.org/10.22237/jmasm/1556669520
DOI https://doi.org/10.22237/jmasm/1556669520
Keywords partially overlapping, t-test, non-parametric, paired samples, independent samples
Publisher URL http://www.jmasm.com/

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