Centre for Statistical & Survey Methodology Working Paper Series
Publication Date
2013
Recommended Citation
Best, D and Rayner, John, Bootstrap p-values for cochran's Q, stuart and bowker tests, Centre for Statistical and Survey Methodology, University of Wollongong, Working Paper 12-13, 2013, 10.
https://ro.uow.edu.au/cssmwp/116
Abstract
Cochran’s Q assesses treatment differences in randomized block designs with binary data. We suggest using bootstrap p-values rather than p-values based on the chi-squared distribution for tests based on Q. These chi-squared p-values for Q are the only ones usually given in statistical software and can be inaccurate. The same approach allows improved p-values to be given for sparse two-way cross-classification data.
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