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Student’s t-Test for Matched Pairs

In: Using R for Biostatistics

Author

Listed:
  • Thomas W. MacFarland

    (Nova Southeastern University Fort Lauderdale, Senior Research Associate, Office of Institutional Effectiveness
    Nova Southeastern University Fort Lauderdale, Associate Professor, College of Computing and Engineering)

  • Jan M. Yates

    (Nova Southeastern University Fort Lauderdale, Professor Emerita, Abraham S. Fischler College of Education)

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.

Suggested Citation

  • Thomas W. MacFarland & Jan M. Yates, 2021. "Student’s t-Test for Matched Pairs," Springer Books, in: Using R for Biostatistics, chapter 0, pages 241-291, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-62404-0_4
    DOI: 10.1007/978-3-030-62404-0_4
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