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Select the effect size map for significant voxels (example below), and you will see the effect size range (max = 0.55 in example below), and how many significant voxels there are (look for non-zero voxels, so 125 in the example below).
Sorting out the files
The output of randomise are statistic, p value, and corrected p value files, for each contrast. The contrasts to which statistics files correspond are indicated by numbers, e.g., *_tstat1 (or _fstat1), *_tstat2, *_tstat3, and so on. For a two-group design matrix, you will typically have four contrasts. (You create these in the Glm step.) The t contrasts these are listed in the *.con text file created when you create the design matrix with the Glm GUI, and the F contrasts are in the *.fsf files. Below is an example of a *.con file:
CSPM output
CSPM automatically tests for significance, and save files in a "significant" subfolder. The effect size files at labelled "pe" for parameter estimates, and "cope" are corrected parameter estimates.
Example stat files and design matrix
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However, to get the effect size (betas, or parameter estimates in FSL terminology), we need to run the statistics with different options ("-glm). Since we have already done the correction for multiple comparisons, this has one "N1" for one permutation. We don't use p values from this step, only the "pe" files.
Sorting out the files
The output of randomise are statistic, p value, and corrected p value files, for each contrast. The contrasts to which statistics files correspond are indicated by numbers, e.g., *_tstat1 (or _fstat1), *_tstat2, *_tstat3, and so on. For a two-group design matrix, you will typically have four contrasts. (You create these in the Glm step.) The t contrasts these are listed in the *.con text file created when you create the design matrix with the Glm GUI, and the F contrasts are in the *.fsf files. Below is an example of a *.con file:
CSPM output
CSPM automatically tests for significance, and save files in a "significant" subfolder. The effect size files at labelled "pe" for parameter estimates, and "cope" are corrected parameter estimates.