Claims

Previous non-longitudinal analyses of the PRIMR dataset reported statistically significant impacts on English and Kiswahili outcomes, with impacts ranging from .3 to .5 standard deviations.

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2015 · 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? Prior analyses of the non-longitudinal PRIMR dataset found statistically significant impacts on English and Kiswahili outcomes, on poor pupils, and in schools with additional TAC tutor support, with impacts of .3 to .5 standard deviations. → Piper 2015

Evidence

Piper 2015

Piper, B., Bulat, J., & Johnston, A. (2015). Reading Skill Transfer Across Languages: Outcomes from Longitudinal Bilingual Randomized Control Trials in Kenya and Haiti. SREE Spring 2015 Conference Abstract. https://eric.ed.gov/?id=ED562423

q2 · i? · causal · r2

The abstract cites prior published analyses of the non-longitudinal PRIMR dataset, attributing the findings to those studies: "Impacts ranged from .3 to .5 standard deviations." The cited studies were not read for this extraction.

"Previous research using the non-longitudinal dataset from t he PRIMR study shows statistically significant impacts on English and Kiswahili outcomes (Piper, Zuilkowski & Mugenda, 2014); for the poor (Piper, Jepkemei & Kibukho, 2014); and particularly in schools provided additional instructional support by TAC tutors (Piper & Zuilkowski, 2014). Impacts ranged from .3 to .5 standard deviations (Piper & Mugenda, 2014)."

Discussion

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