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i have an analysis approach question: event -related design with behavior measure (e.g. reaction time) what do you think about analyzing the data on the single subject level as an ancova, where 1 EV has 1's for all events, zeros elsewhere, and another EV has the demeaned behavior measure at each event, zeros elsewhere versus binning events into fast events or slow events, separate EVs, and then performing a contrast at the first level to pass up. so option A is the discrete approach, option B is a binary approach. thanks for suggestions, vitaly