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Hi Jeremy,
I’ve run into some problems with randomization now. Back in October, I uploaded a table with the three groups (like I mentioned above in my first posts), groups A, B, and C. I was able to get it to randomize the group presentation with randomize(“experiment”), and it only ever presented stimuli from group A, B, or C; never all three. In my results file, I could see that the participant received group B’s stimuli, group A’s, stimuli, etc. That .csv file was entitled StimuliTemplate2.csv.
I’ve since created some new tables (like the one that I’m using to figure out pseudorandomization) and they are more or less the same as StimuliTemplate2. However, when I’m using these tables, all groups end up getting presented in the experiment. So all stimuli from groups A, B, and C get presented. Really the table “StimuliTemplate2.csv” is the only one where stimuli is presented from only one group, despite the fact that I’m using nearly the exact same script (at some points I’ve cut out the practice trials and gone right to the experiment, but otherwise the script remains the same). I’ve revised the newer tables multiple times: I’ve added information into the “trial_ID” column so that all columns are filled out, and I’ve added rows into each group so there is an even and equal number of stimuli in each group (i.e eight congruent flankers in group A, eight in group B, etc). Nothing I try seems to fix the problem.
Do you have any idea what might be causing these issues?
Thank you!
Grace
Hi Jeremy,
Thank you so much! I just incorporated that into my script, and I think it worked, but I’m going to break it into smaller chunks and go through it a few times to make sure.
If I run into any more questions and can’t find an answer on previous posts then I’ll post back here.
Thank you again for your help!
Grace
For clarification purposes, since the table didn’t line up right, “trial_ID” should be blank, and the column label “stim” lines up with the sentences (basically stim = sentences).
Hi Jeremy,
Thank you!
My group column is similar to what is in the tutorial. So I have a column for group, and each row with the corresponding conditions is assigned to either group A, group B, or group C. I tried to copy and paste and align a part of the table in my .csv file here in the textbox; hopefully it stays all lined up once I post this. (None of the stimuli presented like the sentences, fillers, etc are what will actually be in the live experiment.)
If I’m understanding this correctly, the randomizeNoMoreThan with 1A, 1B, 1C etc is just a label of trials, and isn’t about the pseudorandomizing specifically of the group column, where the groups are A, B, C? In my trial type, “con” is for congruent, and “inc” is for incongruent. Ideally, we’ll have some filler sentences and some filler questions, so “Q” means question (but I’ve omitted the question column for space).
The “group” column seems to be randomized already with the randomize(“experiment”) code, so what I want is to find a way to pseudorandomize my “trialtype” column, so the UA_con etc labels. At one point I tried randomizeNoMoreThan(anyOf(“UA_con”, “UA_inc”, “AM_con”),2) (so on and so forth with the rest of the trials) but I didn’t think that was right, because I didn’t think I was supposed to edit your randomizeNoMoreThan(anyOf script.
Group trial_ID. trialtype Stim Flanker Response A UA_con Put the dumplings in the pot <<<<< F A UA_inc Pour the coffee in the mug <<><< J A AM_con Put the dumplings in the pot in the pan >>>>> F A AM_inc Pour the coffee in the mug down the drain >><>> J A AM_con_Q Sit in the chair in the living room <<<<< F A UA_con_Q Sleep on the bed >>>>> F A con >>>>> A inc <<><< A filler This is a filler sentence F B UA_con Put the dumplings in the pot <<><< J B UA_inc Pour the coffee in the mug >>>>> F B AM_con Put the dumplings in the pot in the pan >><>> J B AM_inc Pour the coffee in the mug down the drain. <<<<< F B AM_con_Q Sit in the chair in the living room >>>>> F B UA_con_Q Sleep on the bed >>>>> B con <<><< B inc <<<<< F B filler This is a filler sentence
Thank you again!
Grace