turrietalndactionabilityjudgmentscause
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"caption": "Figure 1: Experiment 1: Graph of the best fitting model as determined by a causal search using the Greedy Equivalence Search algorithm. Arrows represent directional causal pathways. Path coefficients represent the causal relation's strength and quality. Positive numbers represent a positive causal relation (higher scores for the cause generate higher scores for the effect and lower scores for the cause generate lower scores for the effect); negative numbers represent a negative causal relation (higher scores for the cause generate lower scores for the effect and lower scores for the cause generate higher scores for the effect).",
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"caption": "Figure 2: Experiment 2: Graph of the best fitting model as determined by a causal search using the Greedy Equivalence Search algorithm. Arrows represent directional causal pathways. Path coefficients represent the causal relation's strength and quality. Positive numbers represent a positive causal relation (higher scores for the cause generate higher scores for the effect and lower scores for the cause general lower scores for the effect); negative numbers represent a negative causal relation (higher scores for the cause generate lower scores for the effect and lower scores for the cause generate higher scores for the effect).",
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"caption": "Experiment 2: Mean Scores (SD) for the Dependent Measures in the Low and High Conditions along with the Results from Independent Samples t-Tests it matters whether the coffee [is from northern Colombia/contains pine nuts]. While working on today's menu, Christina observes that the latest shipment of coffee [is from northern Colombia/contains trace amounts of pine nuts]. ¶ Christina must distribute a [provisional/final] copy of the menu to all the shops in just a couple minutes. She [will/will not] have a chance to revise the menu before the shops open,",
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