Moderator analyses for manipulative effects are inconclusive, with no discernable heterogeneity across participant and intervention characteristics¶
Claim · All claims
Evidence · 1 study · quant-synthesisr3·q2
Currency · newest study 2013 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
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This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Meta-regressions of manipulatives type, program duration, gender mix, and grade level were inconclusive, and effect-size heterogeneity was negligible, suggesting effects may not differ by these characteristics. → Amy B. Holmes 2013
Evidence¶
Amy B. Holmes 2013¶
Amy B. Holmes, Vanderbilt University. (2013). Effects of Manipulative Use on PK-12 Mathematics Achievement: A Meta-Analysis. SREE Spring 2013 Conference Abstract. https://eric.ed.gov/?id=ED563072
q2 · i? · quant-synthesis · r3
Bivariate meta-regression models (Table 3) tested grade level, manipulatives type, and duration; none reached significance at p < .05. The article reports moderator analyses were "inconclusive" with only suggestive trends, and low power to detect significant predictors.
"Although moderator analyses were inconclusive (insert Table 3 here), there was some evidence suggesting that virtual manipulatives use was associated with larger effects than physical manipulatives use and that randomized designs reported smaller effect sizes."
Discussion¶
Related Claims¶
- Effects of inclusion are heterogeneous and single-factor subgroup moderator analyses were inconclusive — related
- Interventions in higher Grades tend to have somewhat lower effect sizes; other study characteristics show few significant moderator effects — related
- Manipulatives use during mathematics instruction yields a small statistically significant achievement advantage over nonuse in grades PK-12 — related
- Effect sizes of small-group learning studies in engineering and technology education are significantly heterogeneous, justifying moderator analyses — related
- Knowledge gains from e‐learning are not significantly moderated by study design, student level, delivery synchronicity, intervention duration, or repeat testing — related
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