Group-by-time interactions

Jimmie Leppink

doi:10.1007/978-3-030-21241-4_15

Group-by-time interactions

Jimmie Leppink

The Hull York Medical School

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Whether we deal with different plots of land that receive different treatments in agricultural experiments or we have groups of human participants who are given different treatments in an educational or psychological experiment, when we measure these plots of land or groups of participants at two or more occasions on the same outcome variable of interest we speak of a split-plot design and we can use split-plot analytic methods to analyse differences between plots of land or groups of participants and how these differences increase or decrease from occasion to occasion. In some cases, there are two measurements (i.e., two occasions) one of which takes place immediately after treatment (i.e., post-test, sometimes also referred to as immediate post-test) and the second sometime after (i.e., follow-up). In other cases, one of the measurements takes place before the treatment (i.e., pre-test) and the other takes place after treatment (i.e., post-test). The latter type is also known as pre-test post-test control-group design. In yet other cases, there are three or more measurements; these measurements may either all take place after treatment, or one or some (though not all) of them take place before the treatment. In this chapter, each of these types of situations is discussed with an example experiment.

Original language	English
Title of host publication	Statistical methods for experimental research in education and psychology
Place of Publication	Switzerland
Publisher	Springer
Pages	225-242
Number of pages	18
Edition	1
ISBN (Electronic)	9783030212414
ISBN (Print)	978-3-030-21240-7
DOIs	https://doi.org/10.1007/978-3-030-21241-4_15
Publication status	Published - 2019

Publication series

Name	Springer Texts in Education
Publisher	Springer
ISSN (Print)	2366-7672
ISSN (Electronic)	2366-7680

Access to Document

10.1007/978-3-030-21241-4_15

Cite this

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title = "Group-by-time interactions",

abstract = "Whether we deal with different plots of land that receive different treatments in agricultural experiments or we have groups of human participants who are given different treatments in an educational or psychological experiment, when we measure these plots of land or groups of participants at two or more occasions on the same outcome variable of interest we speak of a split-plot design and we can use split-plot analytic methods to analyse differences between plots of land or groups of participants and how these differences increase or decrease from occasion to occasion. In some cases, there are two measurements (i.e., two occasions) one of which takes place immediately after treatment (i.e., post-test, sometimes also referred to as immediate post-test) and the second sometime after (i.e., follow-up). In other cases, one of the measurements takes place before the treatment (i.e., pre-test) and the other takes place after treatment (i.e., post-test). The latter type is also known as pre-test post-test control-group design. In yet other cases, there are three or more measurements; these measurements may either all take place after treatment, or one or some (though not all) of them take place before the treatment. In this chapter, each of these types of situations is discussed with an example experiment.",

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N2 - Whether we deal with different plots of land that receive different treatments in agricultural experiments or we have groups of human participants who are given different treatments in an educational or psychological experiment, when we measure these plots of land or groups of participants at two or more occasions on the same outcome variable of interest we speak of a split-plot design and we can use split-plot analytic methods to analyse differences between plots of land or groups of participants and how these differences increase or decrease from occasion to occasion. In some cases, there are two measurements (i.e., two occasions) one of which takes place immediately after treatment (i.e., post-test, sometimes also referred to as immediate post-test) and the second sometime after (i.e., follow-up). In other cases, one of the measurements takes place before the treatment (i.e., pre-test) and the other takes place after treatment (i.e., post-test). The latter type is also known as pre-test post-test control-group design. In yet other cases, there are three or more measurements; these measurements may either all take place after treatment, or one or some (though not all) of them take place before the treatment. In this chapter, each of these types of situations is discussed with an example experiment.

AB - Whether we deal with different plots of land that receive different treatments in agricultural experiments or we have groups of human participants who are given different treatments in an educational or psychological experiment, when we measure these plots of land or groups of participants at two or more occasions on the same outcome variable of interest we speak of a split-plot design and we can use split-plot analytic methods to analyse differences between plots of land or groups of participants and how these differences increase or decrease from occasion to occasion. In some cases, there are two measurements (i.e., two occasions) one of which takes place immediately after treatment (i.e., post-test, sometimes also referred to as immediate post-test) and the second sometime after (i.e., follow-up). In other cases, one of the measurements takes place before the treatment (i.e., pre-test) and the other takes place after treatment (i.e., post-test). The latter type is also known as pre-test post-test control-group design. In yet other cases, there are three or more measurements; these measurements may either all take place after treatment, or one or some (though not all) of them take place before the treatment. In this chapter, each of these types of situations is discussed with an example experiment.

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