Regression toward the mean in effectiveness studies: theoretically possible, not mathematically inevitable

Regression toward the mean in effectiveness studies: theoretically possible, not mathematically... Regression Toward the Mean (RTM) in extreme-group quasi-experiments is a thoroughly theoretical matter, not a simple mathematical necessity, so results of extreme-group before-and-after treatment effectiveness studies should not be doubted simply because of the theoretical possibility of RTM. The estimation of RTM, wherever one has a treatment group with a pretreatment mean off to one side of its population’s mean, requires knowledge of the population mean, standard deviation, and regression slope. RTM ought not be presumed to be operative in studies unless its several theoretical assumptions have been justified and its implications for sample data have been corroborated on that data. RTM can properly be adjusted for only when it has been adequately estimated from the relevant population data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Regression toward the mean in effectiveness studies: theoretically possible, not mathematically inevitable

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Publisher
Springer Netherlands
Copyright
Copyright © 2007 by Springer Science+Business Media B.V.
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-007-9137-8
Publisher site
See Article on Publisher Site

Abstract

Regression Toward the Mean (RTM) in extreme-group quasi-experiments is a thoroughly theoretical matter, not a simple mathematical necessity, so results of extreme-group before-and-after treatment effectiveness studies should not be doubted simply because of the theoretical possibility of RTM. The estimation of RTM, wherever one has a treatment group with a pretreatment mean off to one side of its population’s mean, requires knowledge of the population mean, standard deviation, and regression slope. RTM ought not be presumed to be operative in studies unless its several theoretical assumptions have been justified and its implications for sample data have been corroborated on that data. RTM can properly be adjusted for only when it has been adequately estimated from the relevant population data.

Journal

Quality & QuantitySpringer Journals

Published: Nov 28, 2007

References

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