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Matching and Proximity Experiments
| Content Provider | Scilit |
|---|---|
| Author | Edgington, Eugene Onghena, Patrick |
| Copyright Year | 2007 |
| Description | When responses are qualitatively different, contingency chi-square tests can be employed to test the null hypothesis of no dif ferential treatment effect. However, a contingency chi-square test is nondirectional, and the results of the test reflect only the consistency — and not the nature — of the association between types of responses and types of tr eatments. For instance, a contingency chi-square test would not use the specific pr ediction that treatment A would lead to the death of animals and tr eatment B to survival but only the prediction that the tr eatments would have dif ferent effects on mortality. In this case, there is a dichotomous dependent variable, so Fisher 's exact test can be used as the desir ed one-tailed test, but ther e are no standard procedures for accommodating specificity of prediction when there are more than two categories of r esponse. Let us now consider an example in which we predict a specific type of response for each subject and determine the P-value of the number of corr ect predictions. Book Name: Randomization Tests |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2010-0-34013-9&isbn=9780429142710&doi=10.1201/9781420011814-16&format=pdf |
| Ending Page | 248 |
| Page Count | 12 |
| Starting Page | 237 |
| DOI | 10.1201/9781420011814-16 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2007-02-22 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Randomization Tests History and Philosophy of Science Treatment Survival Chi Square Test Contingency Chi Square |
| Content Type | Text |
| Resource Type | Chapter |
