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g_causal.Rmd

@@ -44,7 +44,7 @@ We will likely present these results in two separate papers: 1) determining whet
 
 Alternative 1: If there is no correlation between flexibility measures and performance on causal inference tasks, this suggests that learning about associations (on which the flexibility tasks are based) is different from learning about causal inferences.
 
-Alternative 2: If there is a negative correlation between flexibility measures and performance on causal inference tasks, this suggests that some individuals may prefer to rely on information acquired previously (i.e., they are slow to reverse, but good at remembering prior information in causal inference tasks) rather than relying on current cues (e.g., the food is in a new location (flexibility), the light is absent in the test trials (causal inference)). For example, relying solely on current cues (i.e., the immediate stimulus (light, tone, or noise) or lack thereof) in the causal cognition test will not give them enough information to consistently solve the task. They will need to draw on their memory of what the presence or absence of the current stimulus means about the food reward based on their experience in previous trials to perform well on this task.
+Alternative 2: If there is a negative correlation between flexibility measures and performance on causal inference tasks, this suggests that some individuals may prefer to rely on information acquired previously (i.e., they are slow to reverse, but good at remembering prior information in causal inference tasks) rather than relying on current cues (e.g., the food is in a new location (flexibility), the light is absent in the test trials (causal inference)). For example, relying solely on current cues (i.e., the immediate stimulus (e.g., tone, noise) or lack thereof) in the causal cognition test will not give them enough information to consistently solve the task. They will need to draw on their memory of what the presence or absence of the current stimulus means about the food reward based on their experience in previous trials to perform well on this task.
 
 Alternative 3: If the flexibility measures do not positively correlate with each other (P2 alternative 2 in the [flexibility preregistration](./g_flexmanip.Rmd)), this indicates they measure different traits. In this case, we are interested in how each flexibility measure relates to performance on causal inference tasks: the reversal learning measure as an indication of flexibility, and  task switching latency on the multiaccess box as a measure of a combination of flexibility and innovation.