I have data from a social learning task where participants (infants) can rely on two informants to predict the location of a target object (left vs right). In one condition the informant is reliable, and in the other the informant is unreliable (within participants). I already tested whether infants increasingly look at the reliable informant with this model:
m1 = lmer(looking_time ~ trial_number * condition + (1 + trial_number | participant_id ), data= df)
I find that looking time to the reliable agent increases over trials, while looking time to the unreliable agent decreases. However, I want to find individual differences in this ability. In other words: how much more does each infant prefer the reliable over the unreliable informant? Shall I extract this measure from the raw data? Or is there a way to extract individual differences from the model?
Thank you in advance for your help!
