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Publication Details| Title | Interpretation of data showing something has one effect sometimes and a different effect in other circumstances: theories of interaction of factors | | Authors | Hutchinson TP | | Year | 2009 | | Type | Journal Article | | 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. | | Publisher | Australian Society for Operations Research | | Publisher City | Canberra | | ISSN | 0812-860X | | Journal Title | ASOR Bulletin | | Journal Volume (Issue) | 28(3) | | Page Range | 25-29 | | Notes | Available 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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