Table 2 ANOVA Results for Generalization across all Generalization Blocks by Similarity and Temporal Distance in Experiment 3
From: Anticipated variability increases generalization of predictive learning
First generalization block | ||||
|---|---|---|---|---|
F(df) | p | η2p | CI95% | |
Temporal distance | F(1, 90) = 4.42 | 0.038 | 0.047 | [0.000, 0.156] |
Similarity to S+ | F(2.861, 257.521) = 13.96 | < 0.001 | 0.134 | [0.062, 0.206] |
Similarity x Temporal distance | F(2.861, 257.521) = 0.39 | 0.754 | 0.004 | [0.000, 0.020] |
All generalization blocks | ||||
|---|---|---|---|---|
F(df) | p | η2p | CI95% | |
Temporal distance | F(1, 90) = 4.42 | 0.038 | 0.047 | [0.000, 0.156] |
Similarity to S+ | F(1.829, 164.595) = 60.32 | < 0.001 | 0.401 | [0.313, 0.475] |
Similarity x Temporal distance | F(1.829, 164.595) = 1.80 | 0.172 | 0.020 | [0.000, 0.055] |
