[FieldTrip] mixed between/within subject Anova

Sysoeva, Olga Vladimirovna sysoevao at psychiatry.wustl.edu
Thu Aug 18 18:02:11 CEST 2011


Thank you Michael, Thank you Eric Maris,

So, as far as I understand there are some suggestion (Anderson et al, 2003) about how to apply the permutation test to my case (1 between and 2 within subjects factors), but it is not implemented in fieldtrip yet.
As for examination the  interaction for 1 between and 1 within subject factors - it is possible to do with fieldtrip scripts, isn't it? I've looked through the archive and one of the option seemed to be just to examine the between subject effect on the data obtained from subtraction of one level of  within subject variable from the another one ( in case of 2 levels). And the results will represent the interaction effect. Am I right?

Best Regards,
Olga.


-----Original Message-----
From: fieldtrip-bounces at donders.ru.nl [mailto:fieldtrip-bounces at donders.ru.nl] On Behalf Of Michael Wibral
Sent: Thursday, August 18, 2011 2:57 AM
To: Email discussion list for the FieldTrip project
Subject: Re: [FieldTrip] mixed between/within subject Anova

Dear Olga,

you might find this reference helpful with respect to permutation tests and ANOVA-like questions:

PERMUTATION TESTS FOR MULTI-FACTORIAL ANALYSIS OF VARIANCE MARTI J. ANDERSON and CAJO J. F. TER BRAAK Journal of Statistical Computation and Simulation, 2003, Vol. 73(2), pp. 85–113

Michael
(let me know if you have trouble getting it)

-----Ursprüngliche Nachricht-----
Von: "Eric Maris" <e.maris at donders.ru.nl>
Gesendet: Aug 18, 2011 7:50:08 AM
An: "'Email discussion list for the FieldTrip project'" <fieldtrip at donders.ru.nl>
Betreff: Re: [FieldTrip] mixed between/within subject Anova

>Dear Olga,
>
>> I'd like to use mixed between subjects (3 groups) and within subject
>> (2 factors each has 2 levels) Anova design to compare the ERPs using
>> cluster permutation statistics (ft_timelockananlysis).
>> But to my understanding it is impossible. Am I right?
>
>The problem is with the interaction effects. With permutation tests,
>you cannot test the interaction between two (or more) between-UO
>variables (UO=subject or trial) nor the interaction between two or more
>within-UO variables. However, with permutation tests, you can test the
>interaction between a between- and a within-UO variables. So. In your
>study, you would only be unable to test the interaction between the two
>within-subject variables.
>
>There have been more threads on the testing of interaction effects. You
>can find them by searching in the discussion list archive.
>
>Best,
>
>Eric Maris
>
>
>
>
>>
>> You comments are highly appreciated,
>>
>> Best Regards,
>> Olga.
>>
>>
>> Olga Sysoeva,
>> Research Associate, PhD
>> Washington University School of Medicine Campus Box 8134
>> 660 South Euclid Ave
>> Saint Louis, MO 63110-9909
>>
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