Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHutchinson, T.en
dc.identifier.citationASOR Bulletin, 2009; 28(3):25-29en
dc.description.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.en
dc.description.statementofresponsibilityT. P. Hutchinsonen
dc.publisherAustralian Society for Operations Research Incen
dc.titleInterpretation of data showing something has one effect sometimes and a different effect in other circumstances: Theories of interaction of factorsen
dc.typeJournal articleen
pubs.library.collectionCentre for Automotive Safety Research conference papersen
dc.identifier.orcidHutchinson, T. [0000-0002-4429-0885]en
Appears in Collections:Centre for Automotive Safety Research conference papers

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.