Claims

EWIMS did not reduce the percentage of students with low GPA on the binary indicator, though continuous GPA was higher in EWIMS schools

Claim · All claims
Evidence · 1 study (2 entries) · causal r2–r3 · q4
Currency · newest study 2017 · 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.

q4 i? The percentage of students with a GPA of 2.0 or lower did not differ significantly between EWIMS schools (17 percent) and control schools (19 percent). → Faria 2017 q4 i? Sensitivity analyses using continuous GPA showed significantly higher average GPAs in EWIMS schools (2.98) than control schools (2.87). → Faria 2017 (2)

Evidence

Faria 2017

Faria, A.-M., Sorensen, N., Heppen, J., Bowdon, J., Taylor, S., Eisner, R., & Foster, S. (2017). Getting students on track for graduation: Impacts of the Early Warning Intervention and Monitoring System after one year (REL 2017–272). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Midwest. http://ies.ed.gov/ncee/edlabs

q4 · i? · causal · r3

Randomized controlled trial main analysis on the binary low-GPA risk indicator from extant student records. The difference "was 17 percent in EWIMS schools and 19 percent in control schools" and was not statistically significant.

"The percentage of students who had a GPA of 2.0 or lower was 17 percent in EWIMS schools and 19 percent in control schools (see figure 3). This difference was not statistically significant"

Faria 2017 (2)

Faria, A.-M., Sorensen, N., Heppen, J., Bowdon, J., Taylor, S., Eisner, R., & Foster, S. (2017). Getting students on track for graduation: Impacts of the Early Warning Intervention and Monitoring System after one year (REL 2017–272). Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Midwest. http://ies.ed.gov/ncee/edlabs

q4 · i? · causal · r2

Sensitivity analysis replacing the binary low-GPA indicator with continuous GPA in the same randomized controlled trial. Average GPAs were "higher in EWIMS schools (2.98) than in control schools (2.87)".

"sensitivity analyses that used continuous GPA data instead of the binary risk indicator showed that, on average, GPAs were higher in EWIMS schools (2.98) than in control schools (2.87); this difference was statistically significant"

Discussion

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