I’m trying to code a categorization / JDM task. The experiment involves three learning phases, and one experiment phase. In the experiment phase, people view either two or three pictures (of faces) and either make a choice or categorize the face. I’ve run into three issues that i’m hoping someone can help me out with:
First, In the categorization learning phase, we were hoping to make the correct answer probabilistic, where if one particular face had a 75% likelihood to be in group A and 25% in group B, when people catergorized the face, 75% of the time it would be in A and 25% in B. I’m aware that the pictures are my events, and I know how to assign the correct answer, but I’m not sure if it allows for the correct answer to randomly change based on a probability.
Second, again in the learning phase, I’m hoping to test to see if the subjects adequately learned the each condition. I’ve been unable to figure out if Superlab can examine the results of the test, and if a certain threshold isn’t met, then subjects are forced to redo a particular block.
Third, as I mentioned, in the experiment condition, subjects will select one face out of a possible two or three. I’ve coded it so that each face is an event, so in each trial, either two or three faces are shown. Since the faces are repeated throughout the trials, I had to select a specific position for each face. Therefore when a face is repeated, it’s in the same location on the screen. I see that the new version allows us to pick one of four random positions for each event, but I’m having a hard time figuring out how to do this. Please help.
I know this is a lot, but I really appreciate any help available.