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- Data for: Successfully Learning Non-Adjacent Dependencies in a Continuous Artificial Language StreamThis zip file contains data from the 4 experiments reported in Wang, Zevin & Mintz (under review).
- Dataset
- File Set
- Data for "Preference Accumulation as a Process Model of Desirability Ratings"Data for Bhatia and Pleskac - Stochasticity, Dynamism, and Context-Dependence in Desirability Ratings (submitted to Cognitive Psychology). The columns correspond to [subject id, rating, deliberation time, NA, RT after prompt, t1, t2, t3, c1, c2, c3] for Experiment 1, and [subject id, first object rating, deliberation time, second object rating, RT after prompt, t1, t2, t3, c1, c2, c3] for Experiment 2. Here t{1,2,3} and c{1,2,3} correspond to target and competitor attributes.
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- Data for: Set-Shifting and Place-Keeping as Separable Control ProcessesWe present data from three experiments using a sequential binary choice task that explore the relationship between two proposed cognitive control functions: set-shifting and place-keeping (i.e., keeping track of one’s place within a sequential task). The task involves switching from one stimulus-response mapping to another across trials, according to a predefined sequence and in the face of occasional brief interruptions. Response-stimulus interval, interruption length and interrupting task were varied. In each study, response time, sequential error type and interruption accuracy were recorded.
- Other
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- Data for: Modeling the dynamics of recognition memory testing with a combined model of retrieval and decision makingData from Experiment 1, which manipulates list length between 24 and 96 items, normative word frequency (LF vs. HF), and the length of the retention interval.
- Tabular Data
- Dataset
- Data for: Young Infants Expect Adults to Comfort a Crying Baby: Evidence from a Standard Violation-of-Expectation Task and a Novel Infant-Triggered-Video TaskDataset
- Tabular Data
- Dataset