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- W2023254865 abstract "In a recent paper, four-look recognition performance was predicted from one-look (lL) data by Bayes’s theorem, with the entire pattern of two Ss’ four-look data being predicted reasonably well. In the present study, three Ss were run, with the addition that feedback was given and confidence judgments were required. Their task was to identify tachistoscopically presented graphemes A, T, or U. Predictions of four-look performance were made using three orders of lL data matrices, differing in the breakdown of confidence categories. The three matrices led to reasonably accurate predictions. Predictions varied somewhat in accuracy, depending on the order of the lL matrix. The possibility that the variation in predictive accuracy reflected the capacity of an S to combine information received from each observation was discussed. The capacity question is presently under investigation by the authors." @default.
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- W2023254865 title "A Bayesian prediction of four-look recognition performance from one-look data: II" @default.
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- W2023254865 doi "https://doi.org/10.3758/bf03209363" @default.
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