<div dir="ltr">Thank you for the references, Daniele! The latency was point based using a local peak approach. I looked grand average for each subject individually but it seemd that I did not really have spike points. Instead, I have some subjects showing strong slow wave in one condition than others. Some subjects also have larger area under the P3 curve in one condition than others. I wonder if the inconsistency between grand average and actual latency measures could happen when one condition has more vaiant peak latency and differnet shape of P3 (e.g. area nuder the curve) than others? Regardless, I will definitely read those papers and try to figure it out what happends to my dataset. <div><br></div><div>Sincerely,</div><div>Alvin</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Tue, Mar 28, 2017 at 2:09 PM, Daniele Marinazzo <span dir="ltr"><<a href="mailto:daniele.marinazzo@gmail.com" target="_blank">daniele.marinazzo@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div>Dear Alvin</div><div><br></div><div>focusing only on a tiny part of the erp, and only on the average, is not a good way to analyze the data, since it makes too many assumptions on the underlying distribution of data, individual variability, and on the ERP time course as a whole.</div><div><br></div><div>Guillaume Rousselet, Cyril Pernet and others have explained this in great detail, with code and examples, see for example these papers</div><div><br></div><div><a href="http://onlinelibrary.wiley.com/doi/10.1111/ejn.13400/full" target="_blank">http://onlinelibrary.wiley.<wbr>com/doi/10.1111/ejn.13400/full</a><br></div><div><a href="http://biorxiv.org/content/early/2017/03/27/121079" target="_blank">http://biorxiv.org/content/<wbr>early/2017/03/27/121079</a><br></div><div><br></div><div>and in these blog posts with code</div><div><br></div><div><a href="https://garstats.wordpress.com/2016/07/28/neuroscience-group-results/" target="_blank">https://garstats.wordpress.<wbr>com/2016/07/28/neuroscience-<wbr>group-results/</a><br></div><div><a href="https://garstats.wordpress.com/2016/04/02/simple-steps-for-more-informative-erp-figures/" target="_blank">https://garstats.wordpress.<wbr>com/2016/04/02/simple-steps-<wbr>for-more-informative-erp-<wbr>figures/</a><br></div><div><br></div><a href="https://garstats.wordpress.com/2016/07/28/neuroscience-group-results/" target="_blank">https://garstats.wordpress.<wbr>com/2016/07/28/neuroscience-<wbr>group-results/</a><br><div><br></div><div>hope this helps</div><div><br></div><div>Daniele</div></div><div class="gmail_extra"><br><div class="gmail_quote"><div><div class="h5">On Tue, Mar 28, 2017 at 3:30 AM, Shih-Chun Kao <span dir="ltr"><<a href="mailto:shihchunkao@gmail.com" target="_blank">shihchunkao@gmail.com</a>></span> wrote:<br></div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div class="h5"><div dir="ltr">Dear list,<div><br></div><div>If I found a statistically significant P3 latency effect (~50ms) between two conditions in a within-subject design study but my grand average plot does not show such difference, what would be the cause for inconsistent results and what does such inconsistency suggest? I understand grand average is not the best illustration but I thought 50ms is a pretty big difference. Thank you!</div><div><br></div><div><div><div>Alvin</div>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div style="color:rgb(80,0,80);font-family:Tahoma;font-size:13px">Shih-Chun Kao (Alvin)</div><div style="color:rgb(80,0,80);font-family:Tahoma;font-size:13px">Neurocognitive Kinesiology Laboratory<br></div><div style="color:rgb(80,0,80);font-family:Tahoma;font-size:13px">Department of Kinesiology and Community Health</div><div style="color:rgb(80,0,80);font-family:Tahoma;font-size:13px">College of Applied Health Sciences<br></div><div style="color:rgb(80,0,80);font-family:Tahoma;font-size:13px">University of Illinois at Urbana-Champaign</div><div style="color:rgb(80,0,80);font-family:Tahoma;font-size:13px"><a href="mailto:skao5@illinois.edu" target="_blank">skao5@illinois.edu</a></div></div></div>
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