School-mean fall GMADE pretest scores strongly predicted spring posttest math achievement in the year-one EM trial¶

Claim · All claims
Evidence · 1 study · causal r2 · q3
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? A one standard deviation increase in school pretest score was associated with a .88 increase in outcome scores (coefficient 0.882, p < .0001). → Michael Vaden-Kiernan 2015

Evidence¶

Michael Vaden-Kiernan 2015¶

Michael Vaden-Kiernan, Geoffrey Borman, Sarah Caverly, Nance Bell, Veronica Ruiz de Castilla, and Kate Sullivan. (2015). Preliminary Findings from a Multi-Year Scale-Up Effectiveness Trial of Everyday Mathematics. SREE Spring 2015 Conference Abstract. https://eric.ed.gov/?id=ED562455

q3 · i? · causal · r2

Year-one three-level multilevel model of the cluster-randomized trial; Table 2 prints the GMADE pretest coefficient 0.882 (SE 0.055, t = 16.100, p < .0001). The article reports the school mean pretest "is predictive of the posttest achievement". No standardized effect size is printed.

"A one standard deviation increase in school pretest score is associated with a .88 increase in outcome scores."

Discussion¶

Learner Variables¶

• Prior Knowledge — predictor: learners who differ on it differ in outcomes

Related Claims¶

• School-mean pretest scores strongly predict spring posttest math achievement in the trial's three-level model — possibly the same claim (merge candidate)
• School-mean pretest scores predict posttest reading achievement in the OCR trial — related
• The treatment effect of Everyday Mathematics varied significantly across schools (greater than two standard deviations) and districts (greater than one standard deviation) in year one — related