Empirical examples using real-world education RCT data demonstrate the design-based grouped-data theory¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q2
Currency · newest study 2020 · 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's theoretical results are demonstrated with empirical examples using real-world education RCT data. → Peter Z. Schochet 2020
Evidence¶
Peter Z. Schochet 2020¶
Peter Z. Schochet. (2020). Analyzing Grouped Administrative Data for RCTs Using Design-Based Methods. Journal of Educational and Behavioral Statistics, vol. 45, issue 1. https://www.mathematica.org/publications/analyzing-grouped-administrative-data-for-rcts-using-design-based-methods
q2 · i? · theoretical · r2
The article reports that "Several empirical examples using real-world education RCT data demonstrate the theory," grounding the analytical results in applied education evaluation settings. Detailed results are not printed in the available text.
"Several empirical examples using real-world education RCT data demonstrate the theory."
Discussion¶
Related Claims¶
- The variance-bias trade-off for late pretests is addressed both theoretically and empirically for several commonly used impact estimators — related
- Including late pretest data in RCT analyses can bias post-test impact estimates because pretests are collected after random assignment — related
- Deciding whether to collect and use late pretest data in RCTs involves a variance-bias trade-off — related
- In RCTs of interventions to improve student test scores, estimators including late pretests will typically be preferred to estimators excluding them or using other baseline data — related
- The late-pretest estimator preference holds as long as test score impacts do not grow very quickly early in the school year — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
empirical-examples-education-rct-data-demonstrate-theory |
title |
Empirical examples using real-world education RCT data demonstrate the design-based grouped-data theory |
description |
Empirical examples using real-world education RCT data demonstrate the design-based grouped-data theory |
status |
review |
evidence_strength |
weak |
newest_evidence |
2020 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — peter-z-schochet-2020 |
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