Table 1.
Acquisition frequencies compared | Prediction | Data | Model supported | ||
---|---|---|---|---|---|
PH | EM | Ms (%) | Test statistic | ||
O vs. P | Or = 1 > Pr = 1 | Or = 1 = Pr = 1 | 57.1 > 42.9 | t(479) = 12.7, p = 0.001 | Priority heuristic |
Or = 3 > Pr = 3 | Or = 3 = Pr = 3 | 55.5 > 44.5 | t(239) = 6.8, p = 0.001 | Priority heuristic | |
Omax vs. Omin | Omaxr = 1 < Ominr = 1 | Omaxr = 1 = Ominr = 1 | 28.2 = 28.8 | t(479) = −0.81, p = 0.42 | Expectation model |
Omaxr = 2 < Ominr = 2 | Omaxr = 2 = Ominr = 2 | 30.3 > 25.2 | t(239) = 4.8, p = 0.001 | Neither | |
Pmax vs. Pmin | Pmaxr = 2 < Pminr = 2 | Pminr = 2 = Pmaxr = 2 | 25.5 > 19.0 | t(239) = 4.7, p = 0.001 | Neither |
Pmaxr = 3 < Pminr = 3 | Pminr = 3 = Pmaxr = 3 | 24.2 > 19.6 | t(239) = 3.3, p = 0.001 | Neither | |
Omaxr = 1, Omaxr = 2 vs. Omaxr = 3 | Omaxr = 1 < Omaxr = 3 | Omaxr = 1 = Omaxr = 3 | 28.2 < 31.2 | t(718) = −3.8, p = 0.001 | Priority heuristic |
Omaxr = 2 < Omaxr = 3 | Omaxr = 2 = Omaxr = 3 | 30.3 = 31.2 | t(478) = −1.0, p = 0.30 | Expectation model | |
Pminr = 1 vs. Pminr = 2, Pminr = 3 | Pminr = 1 < Pminr = 2 | Pminr = 1 = Pminr = 2 | 22.7 > 19.0 | t(718) = 3.5, p = 0.001 | Neither |
Pminr = 1 < Pminr = 3 | Pminr = 1 = Pminr = 3 | 22.7 > 19.6 | t(718) = 2.9, p = 0.004 | Neither |
O, outcomes; P, probabilities. Maximum and minimum outcomes and their probabilities are denoted as Omax, Omin, Pmax, and Pmin, respectively. The rs in the subscripts refer to one- (r = 1), two- (r = 2), and three-reason (r = 3) choices.