Claims

Recent IES evaluations detected impacts well below Cohen's 0.20 SD 'small' benchmark

Claim · All claims
Evidence · 1 study · theoretical r3 · q2
Currency · newest study 2018 · 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 the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? An IES evaluation of Response to Intervention detected impacts of 0.13 to 0.17 SD, and the Teacher Incentive Fund evaluation detected impacts of 0.03 SD. → John Deke 2018

Evidence

John Deke 2018

John Deke, Thomas Wei, and Tim Kautz. (2018). Asymdystopia: The threat of small biases in evaluations of education interventions that need to be powered to detect small impacts. SREE Spring 2018 Conference Abstract. https://eric.ed.gov/?id=ED591611

q2 · i? · theoretical · r3

Motivating examples cited in the research context, attributed to Balu et al. (2015) and Chiang et al. (2015); the abstract reports these second-hand as its framing evidence.

"an evaluation of Response to Intervention from the Institute of Education Sciences (IES) detected impacts ranging from 0.13 to 0.17 standard deviations (Balu et al. 2015), and IES' evaluation of the Teacher Incentive Fund detected impacts of just 0.03 standard deviations (Chiang et al. 2015)."

Discussion

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