Claims

For credits earned in semester 1, the estimated distribution of true intervention effects has a mean of 0.48 credits, a cross-intervention standard deviation of 0.55 credits, and a 75th percentile of 0.60 credits

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q2
Currency · newest study 2023 · 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? The semester-1 credits-earned effect distribution has mean β = 0.48 credits and τ = 0.55 credits, with 10th–90th percentiles of −0.03, 0.13, 0.48, 0.60, and 1.29 credits. → Michael J. Weiss 2023

Evidence

Michael J. Weiss 2023

Michael J. Weiss, Marie-Andrée Somers, & Colin Hill. (2023). Empirical Benchmarks for Planning and Interpreting Causal Effects of Community College Interventions. Journal of Postsecondary Student Success 3(1). https://doi.org/10.33009/fsop_jpss132759

q2 · i? · quant-synthesis · r2

Results section, FIRC estimates for credits earned through one semester. The article reports the mean (β) is 0.48 credits, the cross-intervention standard deviation (τ) is 0.55 credits — larger than the mean, indicating substantial variation — and the percentiles as quoted.

"the 10th, 25th, 50th, 75th, and 90th percentiles are − 0 .03, 0.13, 0.48, 0.60, and 1.29, respectively."

Discussion

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