πŸ“š Research Digest

Monday, June 01, 2026

2 papers sorted by relevance β€’ 1 meta-analyses! | 202 ratings collected

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⭐ Meta-Analyses

Your favorites β€” synthesized findings across multiple studies

The impact of grouping by ability on children’s thinking about academic performance Meta Analysis 👍 👎
Jellie Sierksma, Astrid M.G. Poorthuis, Hanna Schleihauf β€’ PsyArXiv
Finding: Meta-analysis of two studies (N=418, ages 5-11) shows that ability grouping in classrooms leads children to attribute academic performance to stable, internal traits like intelligence rather than external factors, promoting essentialist thinking about ability.

Why it matters: This reveals how educational design choices can fundamentally alter children's mindsets about learning and ability, with implications for motivation, goal-setting, and collaborative learning environments.

Method: Children viewed animated classroom scenarios with and without ability grouping, then answered questions about performance attributions and expectations.

Jargon: Essentialism - the belief that group membership reflects stable, internal characteristics rather than changeable factors.
⭐ Meta-analysis | ⭐ Pre-registered | ⭐ Longitudinal design
πŸ“– Plain-language summary

Papers by Relevance

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Empirically derived effect size guidelines for social, individual differences, and cognitive psychology Empirical 👍 👎
Shaheed Azaad β€’ PsyArXiv
Finding: Meta-analysis of 13,194 effects from psychology research establishes field-specific effect size thresholds, showing cognitive psychology produces larger effects than social psychology, and preregistration reduces reported effect sizes across all fields.

Why it matters: Provides essential benchmarks for interpreting effect sizes in HCI, behavioral science, and learning research, helping researchers avoid misinterpreting small effects as meaningless or large effects as more significant than they actually are in context.

Method: Analyzed effect sizes from 3,302 published articles across three psychology subfields to derive empirical thresholds replacing Cohen's generic small/medium/large guidelines.

Jargon: Effect size = standardized measure of difference/relationship strength; Preregistration = declaring study methods before data collection to reduce bias; dz/g = within-subjects effect size measures.
⭐ Pre-registered | ⭐ Longitudinal design ⚠️ No control group mentioned | Single study (not replicated)
πŸ“– Plain-language summary
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