<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Dear David,<div><br></div><div>you might want to report all the significant electrodes (on a figure for example). Instead of averaging F or p-value, recompute your measures by collapsing time (for example you may use a time range to plot your ERP scalp topographies within an EEGLAB STUDY). Then you will obtain a single p-value for each electrode for the entire time range.</div><div><br></div><div>Arno</div><div><br><div><div>On 11 Feb 2013, at 03:12, david grahms wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"><div dir="ltr"><div><div><p class=""><span style="" lang="EN-US">Hello list,</span></p><p class=""><span style="" lang="EN-US">I have a
question about reporting statistics derived from EEGLAB, or rather how to reduce
and report relevant statistics. One of the many strengths of EEGLAB is the
possibility to perform statistical testing over all your electrodes and samples
when performing a simple ERP experiment. I do, however have trouble understanding
what to do with huge amount of F and p-values once I have performed the
testing. </span></p><p class=""><span style="" lang="EN-US">One problem
is deciding which electrodes to include when reporting the statistical significance
another is, if I choose one (or a cluster of relevant electrodes), do I still
have to average relevant time period of that electrode and test it again, or can
I average the F and p-values within that period for that specific electrode (or
cluster)?</span></p>
<br></div>Best regards,<br></div>David<br></div>
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