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- W2893993296 abstract "To assess whether there may be a common ability related to the understanding and calibration of instance variability and mean behavior, participants performed spatial prediction and numeric estimation tasks. In the first task, participants experienced variability in a set of spatial trajectories whose endpoints they predicted along with a central mean. In the second task, they experienced variability in a set of random numbers whose mean and variability they estimated. For both tasks, estimated variability was compared with the true variability of instances to derive measures of bias (e.g., over-or under-estimation) and precision. Correlations between these estimates across the two experiments revealed mixed evidence for a common ability to estimate variability, but suggested similar performance when estimating mean behavior. Implications for individual differences and interventions are discussed." @default.
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- W2893993296 date "2018-09-01" @default.
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- W2893993296 title "Calibrating Uncertainty: Commonalities in the Estimation of Numeric Variability Versus Spatial Prediction" @default.
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- W2893993296 doi "https://doi.org/10.1177/1541931218621172" @default.
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