Control repetition and distribution of target words in an online Lexical Decision Task
I am new to OpenSesame and firstly wanted to thank everybody involved for the wonderful work. I am trying to set up an online LD task using OSWeb/JATOS where:
- a session consists of 100 items (out of over 50000)
- the distribution of the items should be around 75% words, 25% non-words
- ideally a participant only sees an item once (not only per session, but also in subsequent sessions)
- the number of times an item is shown to participants is more uniformly distributed
Currently, I have pasted all items into a block loop with a "break if 100 responses have been given" condition and a random selection. This works just fine and assuming that participants do not do more than 20-30 session, not too many items should be repeated. I pasted the items into the loop because reading from a file did not seem to work when I tried the experiment with OSWeb.
My questions: how could I achieve a distribution of 75:25 as mentioned above? And can I control how often items are shown in total/to each participant? I have implemented a user input form for subject IDs (as described here: https://kvonholzen.github.io/Tutorials_Open_Sesame_Lexical_decision_OSWeb.html#Create_a_subject-specific_code), could that be helpful?
Many thanks in advance!