Claims

The study explores hypotheses about factors that predict the magnitude of cross-site impact variation

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 authors use their variation estimates to explore hypotheses about factors predicting the magnitude of cross-site impact variation. → 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?

Per the abstract, the estimated cross-site standard deviations are used to "explore hypotheses about factors that predict the magnitude of cross-site impact variation". The available text does not print which factors or what the hypothesis tests found.

"We use these findings to explore hypotheses about factors that predict the magnitude of cross-site impact variation"

Discussion

Page metadata
Field Value
type claim
id hypotheses-predicting-cross-site-impact-variation
title The study explores hypotheses about factors that predict the magnitude of cross-site impact variation
description The study explores hypotheses about factors that predict the magnitude of cross-site impact variation
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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