Linked five-year student-level administrative dataset from Pittsburgh Public Schools, Propel Schools, and Allegheny County DHS¶
Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
A five-year linked student-level administrative dataset assembled by the study team from Pittsburgh Public Schools, Propel Schools, and the Allegheny County Department of Human Services for analyzing and predicting near-term academic risks.
Components¶
Claims¶
Related Products and Programmes¶
Key Sources¶
- Julie Bruch, Jonathan Gellar, Lindsay Cattell, John Hotchkiss, and Phil Killewald. (2020). Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks, Appendixes. Regional Educational Laboratory Mid-Atlantic. https://www.mathematica.org/publications/using-data-from-schools-and-child-welfare-agencies-to-predict-near-term-academic-risks-appendixes
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
linked-five-year-student-level-administrative-dataset-from-pittsburgh-public-schools-prope |
title |
Linked five-year student-level administrative dataset from Pittsburgh Public Schools, Propel Schools, and Allegheny County DHS |
description |
A five-year linked student-level administrative dataset assembled by the study team from Pittsburgh Public Schools, Propel Schools, and the Allegheny County Department of Human Services for analyzing and predicting near-term academic risks. |
status |
review |
moved_from |
element/pittsburgh-linked-school-child-welfare-administrative-dataset |
product_kind |
dataset |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — julie-bruch-2020 |
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