[FieldTrip] 2 Groups, multiple conditions statistical analysis

[Schoffelen, J.M. (Jan Mathijs)]

Hi Andaç,

The difference between indepsamplesSomething, and depsamplesSomething would a comparison between a set of repeated observations (i.e. a set of measurements for a bunch of conditions, obtained in each participant) and a set of observations between two groups of participants (i.e a comparison between group A and group B). From your description it seems that you have mixture, i.e. you’d be interested in how a difference across conditions (i.e. a set of repeated observations (e.g. the average signal in number of experimental conditions)) is different across experimental groups.

The non-parametric testing framework does not in itself constrain the type of test statistic that is used for statistical inference, and in ’simple’ designs, which allow a test statistic to be reformulated as a comparison between two means, the depsamplesT/indepsamplesT might be in order. In your mixed design, if you want to do statistical inference by testing the null hypothesis about exchangeability across groups, I’d recommend using indepsamplesT on the main effects.

Best wishes,
Jan-Mathijs


On 14 Jan 2024, at 20:16, Topkan, Tugberk via fieldtrip <fieldtrip at science.ru.nl<mailto:fieldtrip at science.ru.nl>> wrote:


Hi Fieldtrip experts,

I have a dataset of 2 groups (patient and control), each includes 21 participants, and all participants completed a task with 4 conditions.

I am interested in revealing the main effect and interaction effect of groups.
I have read a previous reply of Eric Mari suggesting a depsamplesT test.
https://mailman.science.ru.nl/pipermail/fieldtrip/2011-January/003447.html<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmailman.science.ru.nl%2Fpipermail%2Ffieldtrip%2F2011-January%2F003447.html&data=05%7C02%7Cfieldtrip%40science.ru.nl%7C04cc5b49b4a142a60b2208dc15c72fc3%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C638409192434515321%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=CN0cEoZDgk0SlH6ErJV56tfZcpzim2eLRBPilZgJHJ4%3D&reserved=0>

I also came across another explanation from Fieldtrip suggesting a indepsamplesT test.
https://www.fieldtriptoolbox.org/faq/how_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests/<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.fieldtriptoolbox.org%2Ffaq%2Fhow_can_i_test_an_interaction_effect_using_cluster-based_permutation_tests%2F&data=05%7C02%7Cfieldtrip%40science.ru.nl%7C04cc5b49b4a142a60b2208dc15c72fc3%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C638409192434671634%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pdOXg4PO2gTLL8ySjR%2BirAlbY0LvVfEC60FyXcbXl6s%3D&reserved=0>

I think I misunderstand something. I would like to ask for your help to know which statistical method is required for my goal.

Thanks in advance,
Andac Topkan
University of Leipzig


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