Example quality does not significantly moderate the effects of the standards on judgment accuracy when aggregated across concepts¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2023 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Exploratory moderation analyses found no statistically significant moderation of the standards' effects by example quality when aggregated across the eight concepts. → Linda Froese 2023

Evidence¶

Linda Froese 2023¶

Linda Froese, Julian Roelle. (2023). Expert example but not negative example standards help learners accurately evaluate the quality of self-generated examples. Metacognition and Learning. https://doi.org/10.1007/s11409-023-09347-w

q2 · i? · causal · r2

Exploratory moderation analyses (16 total: example quality as moderator for bias and absolute accuracy across eight concepts) found significant interactions with example quality in three analyses for expert example standards, but "no statistically significant moderation effects were found" when aggregated across concepts.

"When aggregated across the eight concepts, however, no statistically significant moderation effects were found. Jointly, these findings suggest that at least for the effects of expert example standards, example quality might be a potential moderator, though its effects likely are small and not consistent."

Discussion¶

Related Claims¶

• Expert example standards improve university students' judgment accuracy (bias, absolute accuracy, and relative accuracy) when evaluating self-generated examples — related
• Expert example standards did not significantly enhance relative accuracy in evaluating self-generated examples — related
• Negative example standards do not reliably improve judgment accuracy and significantly decrease relative accuracy in evaluating self-generated examples — related
• Exploratory tests found no significant interaction between receiving a rubric and learners' task performance on self-assessment accuracy or cognitive load — related
• Benefits of expert example standards depend on example quality: largest for incorrect examples, absent for correct ones — reports the opposite