The SREM predicts time to reclassification more accurately than a conventional discrete-time hazard model¶
Claim · All claims
Evidence · 1 study · associationalr?·q2
Currency · newest study 2018 · checked against its sources 2026-10-09 (automated, 1 of 1 entry) · not reviewed by a person · overdue for a recheck since 2021: tool and model accuracy changes quickly
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? Predictions of time to reclassification from the SREM were 93% accurate compared to 85% accuracy from a conventional discrete-time hazard model used in prior literature. → Tyler Matta 2018
Evidence¶
Tyler Matta 2018¶
Tyler Matta, James Soland. (2018). Predicting time to reclassification for English learners: A joint modeling approach. Journal of Educational and Behavioral Statistics. https://doi.org/10.3102/1076998618791259
q2 · i? · associational · r?
Empirical comparison using data from a large Arizona school district, reported in the article's abstract. The shared random effects model achieved "93% accurate" predictions of time to reclassification, versus 85% for the conventional discrete-time hazard model used in prior literature. No effect size or test statistic is printed.
"the SREM resulted in predictions of time to reclassification that were 93% accurate compared to 85% accuracy from a conventional discrete-time hazard model used in prior literature"
Discussion¶
Related Claims¶
- Information about English-language development is critical for accurately predicting the grade an EL will reclassify — related
- Prediction algorithms forecast student achievement from small windows of data, more accurately when data are enriched with instructional design and learning-process detail — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
srem-outperforms-discrete-time-hazard-accuracy |
title |
The SREM predicts time to reclassification more accurately than a conventional discrete-time hazard model |
description |
The SREM predicts time to reclassification more accurately than a conventional discrete-time hazard model |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2018 |
source_checked |
2026-10-09 |
recheck_by |
2021 |
generated |
by process:wiki-ingest on 2026-10-09 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — tyler-matta-2018 |
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