Can you display only a random subset of incorrect/distractor trials?
I am creating an emotional identification study in which a target emotion is selected (e.g. happy) and then participants complete a set of trials in which they press 1 if the image shown displays a happy face and 2 if it displays any other emotion (from the basic 6). Simple so far.
This is then repeated with each different emotion set as the target emotion.
For each block I have 6 models with each displaying all 6 emotions meaning each block has 36 images but only 6 are actually correct. In total this means participants have to go through 216 trials for only 36 potential "hits". My actual study is more complicated (adding divided visual field components) and would end up with over 1000 trials (most of which incorrect) which is why I need to simplify.
Seeing as I don't care about the responses to the incorrect trials, is it possible to randomize each block so that participants see all of the correct trials and then a random selection of incorrect trials? For example, a "happy" block would show all 6 models displaying a happy face randomly between 10 incorrect trials showing any model displaying any emotion OTHER than happy (with no repeats).
I am somewhat comfortable with adding inline scripts which I know this will need.