Claims

True-score-model correlations between term scores exceed 0.90 for almost all course-specific tests

Claim · All claims
Evidence · 2 studies · 2 associational r2 · q2 · i3 large
Currency · newest study 2022 · checked against its sources 2026-10-17 (automated, 2 of 2 entries) · not reviewed by a person · overdue for a recheck since 2025: 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? Pearson correlation coefficients computed from true score model estimates are above 0.90 for almost all tests, indicating strong correlations between fall, winter, and spring scores; these corrected coefficients are higher than those from observed scores. → Wei He 2022

q2 i3 Pearson correlations computed from true score model estimates are above 0.90 for almost all tests and are higher than observed-score correlations because they are corrected for attenuation. → Thum 2019

Evidence

Wei He 2022

Wei He. (2022). Achievement and Growth Norms for Course-Specific MAP® Growth™ Tests. NWEA Research Report. https://www.nwea.org/research/publication/achievement-and-growth-norms-for-course-specific-map-growth-tests/

q2 · i? · associational · r2

Correlational analysis reported in Section 3.3 and Table 3.2, comparing model-based correlations (corrected for attenuation) with observed-score correlations for each subject across fall–winter, fall–spring, and winter–spring pairs. The report notes the corrected coefficients "are therefore higher than those from the observed scores," e.g., Algebra 1 fall–winter r of 0.92 versus 0.85 observed.

"the Pearson correlation coefficients computed based on the estimates from the true score models are above 0.90 for almost all tests, suggesting that scores from each administration were strongly correlated"

Thum 2019

Thum, Y. M., & He, W. (2019). Achievement and growth norms for course-specific MAP® Growth™ Algebra 1, Geometry, and Algebra 2 tests. NWEA Research Report. Portland, OR: NWEA. https://www.nwea.org/research/publication/achievement-and-growth-norms-for-course-specific-map-growth-algebra-1-geometry-and-algebra-2-tests/

q2 · i3 · associational · r2

Correlational analysis of observed RIT scores and true score model estimates (Table 3.2) for Algebra 1, Geometry, and Algebra 2. Printed correlation coefficients (r) include r = 0.91 (Algebra 1 fall–winter, true score model) versus r = 0.86 observed, with model-based coefficients "above 0.90 for almost all tests" and corrected for attenuation.

"the Pearson correlation coefficients computed based on the estimates from the true score models are above 0.90 for almost all tests, suggesting that scores from each administration were strongly correlated"

Discussion

Page metadata
Field Value
type claim
id true-score-correlations-above-090
aliases course-specific-term-score-correlations-above-090
title True-score-model correlations between term scores exceed 0.90 for almost all course-specific tests
description True-score-model correlations between term scores exceed 0.90 for almost all course-specific tests
status review
evidence_strength moderate
newest_evidence 2022
source_checked 2026-10-17
recheck_by 2025
generated by process:wiki-ingest on 2026-10-08
trust unverified — no one has confirmed this page's content
sources 2 — wei-he-2022, thum-2019

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