Anticipating application of learning in the distant future broadens generalization relative to anticipating near-future application¶

Claim · All claims
Evidence · 1 study · causal r2 · q3 · i2 medium
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i2 Experiment 3 found broader generalization in the distal condition than in the proximal condition (η2p = 0.047), with no similarity × distance interaction. → Hadar Ram 2024

Evidence¶

Hadar Ram 2024¶

Hadar Ram, Guy Grinfeld & Nira Liberman. (2024). Anticipated variability increases generalization of predictive learning. npj Science of Learning. https://doi.org/10.1038/s41539-024-00269-z

q3 · i2 · causal · r2

Online experiment (final N = 92, random assignment) replicating the predictive learning task with a lightning-bolt outcome; participants expected to apply learning immediately or a week later. Table 2 reports temporal distance F(1, 90) = 4.42, p = 0.038, η2p = 0.047; a similarity-to-S+ main effect (η2p = 0.401 across all blocks) showed generalization decreased with decreasing similarity, with no interaction.

"As hypothesized, we found broader generalization in the distal condition ( M = 5.80, SD = 2.06) than in the proximal condition (M = 4.79, SD = 2.50; see Table2 and Fig. 2b)."

Discussion¶

Related Claims¶

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