Mathematics items showed more variation in fit statistics than Reading items, and outfit statistics varied more than infit statistics¶
Claim · All claims
Evidence · 1 study · associationalr2·q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person · overdue for a recheck since 2022: 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? Mathematics items had more variation in fit statistics than Reading items, and outfit varied more than infit regardless of sample. → He 2019
Evidence¶
He 2019¶
He, W. (2019). MAP Growth K–2 item fit analysis study. NWEA. https://www.nwea.org/research/publication/map-growth-k-2-item-fit-analysis-study/
q2 · i? · associational · r2
Descriptive observation from the plotted fit statistics in Figures 2.1–2.4 for both samples; consistent with Table 2.2, where old Mathematics outfit maxima (e.g., 21.64 AllYr) far exceed Reading maxima.
"Compared with the Reading items, Mathematics items had more variations regarding the fit statistics. Outfit statistics exhibited more variations than infit statistics regardless of the sample."
Discussion¶
Related Claims¶
- Adjusting MAP Growth K–2 item difficulties in the 2020 scale alignment study improved item fit, with the largest gains in outfit statistics for difficult Mathematics items — related
- Item fit findings were the same regardless of whether the AllYr or LatestYr response sample was used — related
- New and old fit statistics are highly correlated after difficulty adjustment, with outfit correlations near 0.99 for Mathematics and infit correlations around 0.7 for Mathematics and mid-to-high 0.8–0.9 for Reading — related
- Adjusting MAP Growth K–2 item difficulties improved item fit, with old infit and outfit statistics more scattered than new ones in both samples — related
- New and old fit statistics are moderately correlated, with Pearson coefficients mostly between 0.50 and 0.79 — related
- Person and item fit statistics were similar across pilot and comparison groups, with items showing overfitting in both — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
math-outfit-more-variable-than-reading-infit |
title |
Mathematics items showed more variation in fit statistics than Reading items, and outfit statistics varied more than infit statistics |
description |
Mathematics items showed more variation in fit statistics than Reading items, and outfit statistics varied more than infit statistics |
status |
review |
evidence_strength |
weak |
newest_evidence |
2019 |
recheck_by |
2022 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — he-2019 |
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