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Thank you for the references!<br>
I think that computing event-related regression coefficients (as in
the Hauk's paper) seems easier but quite complicated for the
beginner I am...<br>
I don't really understand how they technically did this and how I
could apply this to my data. <br>
<br>
In fact, I conducted a study which contains several sentences split
into 2 conditions. I observed a larger P600 for the condition A than
for the condition B at the end of the sentences (time window set a
the last word). <br>
What I would like to test is the effect of a feature (such as the
length) of the sentences for each condition separately on the
amplitude of the P600.<br>
<br>
My first idea was to compute the mean of amplitude in the 600-900
time-window for each sentence across subject and use them as
dependent measure and length values as predictors. <br>
But after reading references, it seems not statistically acceptable,
right ?<br>
<br>
Alexandre<br>
<br>
<div class="moz-cite-prefix">Le 23/01/2016 00:33, Stephen
Politzer-Ahles a écrit :<br>
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<blockquote
cite="mid:CAJT2k_87N4GWgB24mUpjz2fDK90AL3=d0YHUfzNSVjicETNj2Q@mail.gmail.com"
type="cite">
<div dir="ltr">Yes, this can easily be done with single-trial
analysis / event-related regression coefficient, or similar
analyses. See, e.g., Hauk et al. 2006 in NeuroImage, and Smith
& Kutas 2015 in Psychophysiology.<br>
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---<br>
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Stephen Politzer-Ahles<br>
University of Oxford<br>
Language and Brain Lab<br>
Faculty of Linguistics, Phonetics &
Philology<br>
<a moz-do-not-send="true"
href="http://users.ox.ac.uk/%7Ecpgl0080/"
target="_blank">http://users.ox.ac.uk/~cpgl0080/</a></span></div>
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<div class="gmail_quote">On Fri, Jan 22, 2016 at 1:19 PM,
Alexandre Obert <span dir="ltr"><<a moz-do-not-send="true"
href="mailto:obert.alexandre@gmail.com" target="_blank">obert.alexandre@gmail.com</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">Dear all,<br>
<br>
I wonder if there is a way to assess the effect of a
continuous variable from items' features on erps amplitudes
(without categorized it such as using median-split) ?<br>
For the ones who know fMRI, I would like compute something
similar to the parametric modulation...<br>
<br>
<br>
Regards,<br>
<br>
Alexandre Obert<br>
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