Screening tools in the Three Tier model show a moderate pooled correlation with academic achievement outcomes (r = .51), with very high heterogeneity¶
Claim · All claims
Evidence · 1 study · quant-synthesisr?·q3
Currency · newest study 2025 · 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.
q3 i? Across 13 studies and 67 effect sizes, screening and progress monitoring tools correlate moderately with concurrent and predictive academic achievement outcomes (r = .51, 95% CI [.35, .64], p = .001), with very high heterogeneity. → Keles 2025
Evidence¶
Keles 2025¶
Keles, S., ten Braak, D., Hagen, Å. M., & Melby-Lervåg, M. (2025). Validity of Early-Grade Screening Tools in the Three Tier (RTI/MTSS) Model: A Systematic Review and Meta-Analysis of Literacy, Language, and Mathematics. Educational Psychology Review. https://doi.org/10.1007/s10648-025-10077-5
q3 · i? · quant-synthesis · r?
Meta-analysis using a CHE model with RVE of 67 effect sizes from 13 validation studies of screening tools in ECEC through grade 2, reporting a "moderate overall pooled effect size for correlations ( r = .51, 95% CI [.35, .64], p = .001)". Heterogeneity was very high (Q(66) = 7579.60, p < .001; 95 PI [−.31, .89]).
"Using a correlated-hierarchical effects robust variance estimation (CHE-RVE) model, results indicated a moderate overall pooled effect size for correlations ( r = .51, 95% CI [.35, .64], p = .001). However, this estimate should be interpreted cautiously, as heterogeneity was very high."
Discussion¶
Related Claims¶
- DIBELS is the most frequently used screening tool for tier assignment, and literacy is the most assessed domain — related
- Screening domain is a significant moderator of validity: literacy-literacy correlations (r = .55) exceed language-literacy (r = .38) and mathematics/literacy-achievement (r = .27) — related
- Very few studies (18 of 127) provide validity data for screening tools used in tier assignment, and none test whether screening itself improves achievement — related
- Sensitivity and specificity of Three Tier screening tools vary widely, and no studies report language-domain-only accuracy — related
- Effect sizes for gender differences in L2 achievement are highly heterogeneous across studies (I² = 89.82%) — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
screening-pooled-correlation-r51-three-tier |
title |
Screening tools in the Three Tier model show a moderate pooled correlation with academic achievement outcomes (r = .51), with very high heterogeneity |
description |
Screening tools in the Three Tier model show a moderate pooled correlation with academic achievement outcomes (r = .51), with very high heterogeneity |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
generated |
by process:wiki-ingest on 2026-10-21 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — keles-2025 |
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