Student’s t-Test for Matched Pairs

Thomas W. MacFarland and Jan M. Yates
Additional contact information
Thomas W. MacFarland: Nova Southeastern University Fort Lauderdale, Senior Research Associate, Office of Institutional Effectiveness
Jan M. Yates: Nova Southeastern University Fort Lauderdale, Professor Emerita, Abraham S. Fischler College of Education

Chapter Chapter 4 in Using R for Biostatistics, 2021, pp 241-291 from Springer

Abstract: Abstract The purpose of this lesson is to use R to examine differences to a singular measured variable between pairs, specifically by using Student’s t-Test for Matched Pairs. Student’s t-Test for Independent Samples is used to compare differences between two separate groups against a singular measured variable. In contrast, Student’s t-Test for Matched Pairs is used to compare differences to a single measured variable when subjects are matched against a counterpart, often where subjects are their own counterparts. Although there are many possible applications, Student’s t-Test for Matched Pairs is often used for pretest v posttest analyses, where a subject is measured for a specific variable, a treatment is applied, and the subject is measured again after the treatment. This lesson also provides an introduction to the use of unstacked data as compared to the use of stacked data. Finally, the issues of sample size (especially N of approximately 30) and sample representation are introduced in this lesson.

Keywords: Gosset (William Sealy); Independent samples; Long format data; Matched pairs; Pretest; Posttest; Repeated measures; Stacked data; Student’s t-Test; t-Statistic; Treatment; Unstacked data; Wide format data (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-62404-0_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030624040

DOI: 10.1007/978-3-030-62404-0_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().