Ben Derrick Ben.Derrick@uwe.ac.uk
Senior Lecturer
A frequently asked question in quantitative research is how to compare two samples that include some combination of paired observations and unpaired observations. This scenario is referred to as `partially overlapping samples'. Most frequently the desired comparison is that of central location. Depending on the context, the research question could be a comparison of means, distributions, proportions or variances. Approaches that discard either the paired observations or the independent observations are customary. Existing approaches evoke much criticism. Approaches that make use of all available data are becoming more prominent. Traditional and modern approaches for the analyses for each of these research questions are reviewed. Novel solutions for each of the research questions are developed and explored using simulation. Results show that proposed tests which report a direct measurable difference between two groups provide the best solutions.
Thesis Type | Thesis |
---|---|
Deposit Date | Oct 1, 2019 |
Publicly Available Date | Mar 12, 2020 |
Public URL | https://uwe-repository.worktribe.com/output/3429190 |
Award Date | Mar 12, 2020 |
Statistical inference with paired observations and independent observations in two samples
(10.7 Mb)
PDF
Test statistics for comparing two proportions with partially overlapping samples
(2015)
Journal Article
Preliminary testing: The devil of statistics?
(2019)
Journal Article
An outlier in an independent samples design
(2018)
Presentation / Conference Contribution
To preliminary test or not to preliminary test, that is the question
(2018)
Presentation / Conference Contribution
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search