Cochran's Q test is a non-parametric statistical test used to test whether a number of dependent treatments have identical effects, and is used for dichotomous data (expressible as numbers with a value of either 0 or 1). This test can be regarded as an extension of the McNemar test.
Should the calculated p-value be less that 0.05, a cursory post-hoc analysis is carried out by performing pairwise McNemar tests on the treatments. Any resulting p-value less than 0.05 is highlighted by two asterisks.
Simply click on the link near the top to add text boxes. Each text box stores a single treatment and needs to be filled in with comma separated numbers, which take value 0 or 1. All treatments need to have the same number of samples, which is equal to the number of blocks.
Alternatively, you can choose two file entry methods:-
- Select multiple single column CSV files to populate the text boxes by repeatedly pressing the Choose File button - there must be one distinct (and differently named) file for each text box i.e. one file per group. Each file can have a different number of samples.
- Select a single multi-column CSV file by pressing the Choose File button once, where the number of columns equals the number of groups - all groups need to have the same number of samples.