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Process-model and distribution-matching method for testing moderation of testing efficacy

Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 causal), q3 · 0 of 1 report an effect size · 2 claims rest on one study

Description

When both restudy and test condition means shift in the same direction across levels of another factor, an ANOVA interaction on proportion correct is theoretically uninterpretable, because the mapping from latent memory strength to accuracy is non-linear and unknown. The article instead evaluates an empirically supported process model as a yardstick and applies a matching strategy via cumulative proportion-correct distributions. This revealed a real relatedness × testing-efficacy interaction that "a traditional ANOVA interaction" masked.

Accounts

  • Do not infer whether a factor moderates testing efficacy from an ANOVA interaction on proportion correct; use a process model plus distribution matching instead: When both restudy and test condition means shift in the same direction across levels of another factor, an ANOVA interaction on proportion correct is theoretically uninterpretable, because the mapping from latent memory strength to accuracy is non-linear and unknown. The article instead evaluates an empirically supported process model as a yardstick and applies a matching strategy via cumulative proportion-correct distributions. This revealed a real relatedness × testing-efficacy interaction that "a traditional ANOVA interaction" masked. (Gupta et al. (2026))

Claims

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Key Sources

  • Gupta, M.W., Pan, S.C., & Rickard, T.C. (2026). Semantic relatedness and the efficacy of retrieval practice. npj Science of Learning. https://doi.org/10.1038/s41539-026-00416-8
Page metadata
Field Value
type research-method
id process-model-and-distribution-matching-method-for-testing-moderation-of-testing-efficacy
title Process-model and distribution-matching method for testing moderation of testing efficacy
description When both restudy and test condition means shift in the same direction across levels of another factor, an ANOVA interaction on proportion correct is theoretically uninterpretable, because the mapping from latent memory strength to accuracy is non-linear and unknown.
status review
generated by process:settle-candidates on 2026-10-27
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