Error Bars from Scientific Research

Both the model comparison (left) and partial correlation coefficients (right) reveal that participants above the Discriminative Error threshold are better fit by the D1M than the D2M. Model comparison shows the mean ± s.e.m. for Pareto smoothed importance sampling leave-one-out cross-validation. D1M, discriminative model with one feature; D2M, discriminative model with two features; I, intercept; P, prototype covariance; A, all-feature attention; All, all participants; HDE, high Discriminative Error; LDE, low Discriminative Error; HIE, high initial error; LIE, low initial error.

DOI