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Multiple Comparisons with Dichotomous Data

 

作者: JamesD. Knoke,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1976)
卷期: Volume 71, issue 356  

页码: 849-853

 

ISSN:0162-1459

 

年代: 1976

 

DOI:10.1080/01621459.1976.10480958

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

Statistical tests for the overall hypothesis of no difference among multiple groups of a dichotomous response experiment include the likelihood ratio, Pearson'sX2, Goodman'sY2, and the analysis of variance (ANOVA)F. An empirical study is performed to evaluate these tests and the Bonferroni and maximal contrast methods of multiple comparisons for a four group experiment. TheFtest is recommended as an overall test and for maximal contrast comparisons, but its nominal significance level can be optimistic for certain Bonferroni comparisons with small samples. TheX2test is generally more conservative than theFtest.

 

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