Content domain shows little association with effect sizes, except fractions in mathematics¶

Claim · All claims
Evidence · 1 study · quant-synthesis r3 · q3
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? The review found little evidence that effect sizes were larger in some content domains than others; fractions had significantly higher associations than other math domains, but only six studies targeted fractions. → Dietrichson 2021

Evidence¶

Dietrichson 2021¶

Dietrichson, J., Filges, T., Seerup, J. K., Klokker, R. H., Viinholt, B. C. A., Bøg, M., & Eiberg, M. (2021). Targeted school‐based interventions for improving reading and mathematics for students with or at risk of academic difficulties in Grades K‐6: A systematic review. Campbell Systematic Reviews. https://doi.org/10.1002/cl2.1152

q3 · i? · quant-synthesis · r3

Moderator analysis across content domains in the review's meta-regressions; the fractions contrast was significant but rests on only six studies, so the review treats the general domain finding as null, with no effect size printed.

"We found little evidence that effect sizes were larger in some content domains than others. Fractions had significantly higher associations with effect sizes than all other math domains, but there were only six studies of interventions targeting fractions."

Discussion¶

Related Claims¶

• In adjusted meta-regressions, peer-assisted and small-group instruction outperform computer-assisted instruction, coaching, incentives, and progress monitoring — related
• Interventions targeting different reading and skill content domains show mostly small differences, with average effect sizes of 0.14–0.22 all statistically significant — related
• Effect sizes based on mathematics tests are significantly larger than effect sizes based on reading tests in targeted secondary interventions — related
• The counting and cardinality coefficient is significantly larger than the coefficients for patterning, geometry, and measurement and data — related