Everyday Mathematics and Harcourt Math show no difference in effects on elementary student achievement in Pittsburgh Public Schools¶

Claim · All claims
Evidence · 1 study · causal r? · q2
Currency · newest study 2007 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? A quasi-experimental analysis of Pittsburgh Public Schools data finds no difference in the effects of Everyday Mathematics and Harcourt Math on student achievement. → Catherine Nelson 2007

Evidence¶

Catherine Nelson 2007¶

Catherine Nelson, Julia Kaufman, Kevin Booker, Brian Gill. (2007). Elementary-Grade Math Programs in the Pittsburgh Public Schools: A Comparison of Everyday Mathematics and Harcourt Math. Cambridge, MA: Mathematica Policy Research. https://www.mathematica.org/publications/elementarygrade-math-programs-in-the-pittsburgh-public-schools-a-comparison-of-everyday-mathematics-and-harcourt-math

q2 · i? · causal · r?

Quasi-experimental analysis of district data comparing two elementary math programs. The report "finds no difference in the effects" of Everyday Mathematics and Harcourt Math on student achievement; no effect size or test statistic is printed on the page.

"A quasi-experimental analysis of data from the Pittsburgh Public Schools finds no difference in the effects of two elementary-level math programs—Everyday Mathematics and Harcourt Math—on student achievement."

Discussion¶

Related Claims¶

• The null achievement difference may stem from the two math programs being implemented more similarly in practice than they differ in theory — related
• Everyday Mathematics® has potentially positive effects on mathematics achievement for primary students, with a substantively important but statistically non-significant effect size of 0.27 — related
• A large-scale experimental study compared the effects of the four mathematics curricula on student achievement — related
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• Everyday Mathematics® showed positive effects on TAAS math subtests (Concepts, Operations, Problem Solving) with effect sizes of 0.25 to 0.31 that were not statistically significant after clustering correction — related