How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017)
Standard approaches for comparing the means of two samples, comprising both paired observations and independent observations, involve the discarding of valuable information. An alternative test which uses all of the available data, is the partially overlapping samples t-test. Two variations of the t...
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Format: | Article |
Language: | English |
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Université d'Ottawa
2017-05-01
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Series: | Tutorials in Quantitative Methods for Psychology |
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Online Access: | http://www.tqmp.org/RegularArticles/vol13-2/p120/p120.pdf |
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author | Derrick, Ben Toher, Deirdre White, Paul |
author_facet | Derrick, Ben Toher, Deirdre White, Paul |
author_sort | Derrick, Ben |
collection | DOAJ |
description | Standard approaches for comparing the means of two samples, comprising both paired observations and independent observations, involve the discarding of valuable information. An alternative test which uses all of the available data, is the partially overlapping samples t-test. Two variations of the test are available, one assuming equal variances, and one assuming separate variances. Issues with standard procedures, and considerations for choosing appropriate tests in the partially overlapping scenario are discussed. An example with details of how to apply the partially overlapping samples t-test is given along with an R package that implement these new tests. |
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format | Article |
id | doaj.art-fd75432d3eb340cc8cbf5f8372adba1c |
institution | Directory Open Access Journal |
issn | 1913-4126 |
language | English |
last_indexed | 2024-12-13T09:27:37Z |
publishDate | 2017-05-01 |
publisher | Université d'Ottawa |
record_format | Article |
series | Tutorials in Quantitative Methods for Psychology |
spelling | doaj.art-fd75432d3eb340cc8cbf5f8372adba1c2022-12-21T23:52:35ZengUniversité d'OttawaTutorials in Quantitative Methods for Psychology1913-41262017-05-0113212012610.20982/tqmp.13.2.p120How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017)Derrick, BenToher, DeirdreWhite, PaulStandard approaches for comparing the means of two samples, comprising both paired observations and independent observations, involve the discarding of valuable information. An alternative test which uses all of the available data, is the partially overlapping samples t-test. Two variations of the test are available, one assuming equal variances, and one assuming separate variances. Issues with standard procedures, and considerations for choosing appropriate tests in the partially overlapping scenario are discussed. An example with details of how to apply the partially overlapping samples t-test is given along with an R package that implement these new tests.http://www.tqmp.org/RegularArticles/vol13-2/p120/p120.pdfPartially overlapping samples; incomplete observations; Welch\IeC {\textquoteright }s test; independent samples; paired samples; equality of means R |
spellingShingle | Derrick, Ben Toher, Deirdre White, Paul How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017) Tutorials in Quantitative Methods for Psychology Partially overlapping samples; incomplete observations; Welch\IeC {\textquoteright }s test; independent samples; paired samples; equality of means R |
title | How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017) |
title_full | How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017) |
title_fullStr | How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017) |
title_full_unstemmed | How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017) |
title_short | How to compare the means of two samples that include paired observations and independent observations: A companion to Derrick, Russ, Toher and White (2017) |
title_sort | how to compare the means of two samples that include paired observations and independent observations a companion to derrick russ toher and white 2017 |
topic | Partially overlapping samples; incomplete observations; Welch\IeC {\textquoteright }s test; independent samples; paired samples; equality of means R |
url | http://www.tqmp.org/RegularArticles/vol13-2/p120/p120.pdf |
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