Claims

Cross-site impact variation has implications for the statistical precision of multisite trials

Claim · All claims
Evidence · 1 study · causal r? · q2
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.

q2 i? The article considers the implications of cross-site impact variation for the statistical precision of multisite 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 abstract states the authors "consider the implications of this variation for the statistical precision of multisite trials". The available text does not print the specific precision findings or recommendations.

"we consider the implications of this variation for the statistical precision of multisite trials"

Discussion

Page metadata
Field Value
type claim
id cross-site-variation-implications-trial-precision
title Cross-site impact variation has implications for the statistical precision of multisite trials
description Cross-site impact variation has implications for the statistical precision of multisite trials
status review
evidence_strength weak
newest_evidence 2017
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

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