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https://hdl.handle.net/2440/56881
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DC Field | Value | Language |
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dc.contributor.author | Hutchinson, T. | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | ASOR Bulletin, 2009; 28(3):25-29 | - |
dc.identifier.issn | 0812-860X | - |
dc.identifier.issn | 0812-860X | - |
dc.identifier.uri | http://hdl.handle.net/2440/56881 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | T. P. Hutchinson | - |
dc.language.iso | en | - |
dc.publisher | Australian Society for Operations Research Inc | - |
dc.source.uri | http://www.asor.org.au/publication/page.php?page=1 | - |
dc.title | Interpretation of data showing something has one effect sometimes and a different effect in other circumstances: Theories of interaction of factors | - |
dc.type | Journal article | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Hutchinson, T. [0000-0002-4429-0885] | - |
Appears in Collections: | Aurora harvest 5 Centre for Automotive Safety Research conference papers |
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