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Publication Details

TitleInterpretation of data showing something has one effect sometimes and a different effect in other circumstances: theories of interaction of factors
AuthorsHutchinson TP
Year2009
TypeJournal Article
AbstractA possible explanation of interaction is that quantities derived from the independent variables separately add together, but then a curvilinear relationship intervenes between their total and the dependent variable observed. It is shown that two different theories of this type are always available to explain crossover interaction in a 2x2 table. For example, one theory may say that a good outcome occurs when there is an approximate match between values associated with the independent variables, and the other theory that a good outcome occurs when the total of values associated with the independent variables is either decisively small or large, with poorer outcome resulting from intermediate values.
PublisherAustralian Society for Operations Research
Publisher CityCanberra
ISSN0812-860X
Journal TitleASOR Bulletin
Journal Volume (Issue)28(3)
Page Range25-29
NotesAvailable from http://www.asor.org.au/publication/page.php?page=1

Reference
Hutchinson TP (2009) 'Interpretation of data showing something has one effect sometimes and a different effect in other circumstances: theories of interaction of factors', ASOR Bulletin, 28(3), pp 25-29.


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