Thank you for the quick responce and showing usefull direction. Hope it would work. The task is, if it is difficult to get, is about carry over effect in Stroop task. Latencies for the stimuli which presented after particular emotional stimuli. [;)] I am trying to find if preceding stimuli consume attentional resourses [:(]
While I admittedly don't really "get" what you are aiming to achieve there, I'm reasonably sure you can pull this off using <values> and <expressions>. I.e., store trials' category in a value, check category on the next trial, sum latencies up, divide by number of trials to get the means,
I would like to save (or to present on a page) a latency time (mean latency) for the stimulus which follows specific stimulus. For example, in below mentioned script part, I received only latencies for specific stimuli (Animal, food, neutral), but I am interested in reaction time on the stimulus presented after stimulus from “Animal category” . Of course, I could methodically by hand choose those latenciesfrom a dat. file, but I would like to reach result more elegantly with presenting them on a screen (e.g. posinstractional page)Could you please kick my brain in right direction to find the solution?<text Animals>/ items = Animalwords</text><item Animals >/ 1 = " Fox "/ 2 = " Dog "/ 3 = " Cat "/ 4 = " Cat2 "/ 5 = " Cat3 "/ 6 = " Cat4 "/ 7 = " Cat5 "</item><text Food>/ items = Foodwords</text><item Foodwords>/ 1 = " Food1"/ 2 = " Food2"/ 3 = " Food3"/ 4 = " Food4"/ 5 = " Food5"/ 6 = " Food6"/ 7 = " Food7"</item><text Neutral>/ items = Neutralwords</text><item Neutralwords>/ 1 = " Screen "/ 2 = " Mouse "/ 3 = " Pencil "/ 4 = " Bus "/ 5 = " Tree "/ 6 = " Bike "/ 7 = " House "</item><expressions>/tlatencyofAnimal = totalmeanlatency(trial.redcongruentAnimal, trial.bluencongruentAnimal, trial.greenncongruentAnimal, trial.yellowncongruentAnimal)/tlatencyofFood = totalmeanlatency(trial.redcongruentFoodwords, trial.bluencongruentFoodwords, trial.greenncongruentFoodwords, trial.yellowncongruentFoodwords)/tlatencyofneutral = totalmeanlatency(trial.redcongruentneutral, trial.bluencongruentneutral, trial.greenncongruentneutral, trial.yellowncongruentneutral)</expressions>
Arturas