Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/56881
Type: Journal article
Title: Interpretation of data showing something has one effect sometimes and a different effect in other circumstances: Theories of interaction of factors
Author: Hutchinson, T.
Citation: ASOR Bulletin, 2009; 28(3):25-29
Publisher: Australian Society for Operations Research Inc
Issue Date: 2009
ISSN: 0812-860X
0812-860X
Statement of
Responsibility: 
T. P. Hutchinson
Abstract: A 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.
RMID: 0020094973
Published version: http://www.asor.org.au/publication/page.php?page=1
Appears in Collections:Centre for Automotive Safety Research conference papers

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