Cross-site standard deviations of ITT effects were estimated for education and workforce interventions using data from 16 large multisite randomized controlled trials¶
Claim · All claims
Evidence · 1 study · causalr?·q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2022: baselines and conditions change
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 study estimates the cross-site standard deviation of ITT effects for a broad range of education and workforce development interventions using 16 large multisite randomized controlled trials. → Michael J. Weiss 2017
Evidence¶
Michael J. Weiss 2017¶
Michael J. Weiss, Howard S. Bloom, Natalya Verbitsky-Savitz, Himani Gupta, Alma E. Vigil, Daniel N. Cullinan. (2017). How Much Do the Effects of Education and Training Programs Vary Across Sites? Evidence from Past Multisite Randomized Trials. Journal of Research on Educational Effectiveness, vol. 10, issue 4. https://www.mathematica.org/publications/how-much-do-the-effects-of-education-and-training-programs-vary-across-sites-evidence doi:10.1080/19345747.2017.1300719
q2 · i? · causal · r?
The article's abstract states the study's central empirical contribution: estimating cross-site variation of intent-to-treat effects across "16 large multisite randomized controlled trials" covering education and workforce development interventions. No effect-size magnitudes are printed in the available text.
"we estimate the cross-site standard deviation of ITT effects for a broad range of education and workforce development interventions using data from 16 large multisite randomized controlled trials"
Discussion¶
Related Claims¶
- The study explores hypotheses about factors that predict the magnitude of cross-site impact variation — related
- Methods for estimating impacts when treatment effects vary apply to randomized controlled trials and are also applicable to quasi-experimental designs — a broader claim this one bears on
- Cross-site impact variation has implications for the statistical precision of multisite trials — related
- Quantitative methods exist for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools — a broader claim this one bears on
- A multi-site randomized controlled trial found Woot Math's adaptivity contributed significant effects in learning and retention — related
- Student work varies more in the uniform school environment than across varied home environments — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
cross-site-itt-effect-variation-16-multisite-rcts |
title |
Cross-site standard deviations of ITT effects were estimated for education and workforce interventions using data from 16 large multisite randomized controlled trials |
description |
Cross-site standard deviations of ITT effects were estimated for education and workforce interventions using data from 16 large multisite randomized controlled trials |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2017 |
recheck_by |
2022 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — michael-j-weiss-2017 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.