Seasonal patterns are discrepant across national data sets¶
Claim · All claims
Evidence · 1 study · associationalr?·q1
Currency · newest study 2021 · checked against its sources 2026-10-20 (automated, 1 of 1 entry) · not reviewed by a person · recheck by 2026: baselines and conditions change
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.
q1 i? The article reports that seasonal patterns differ across national data sets, an inconsistency the authors take up in their discussion. → Dennis Condron 2021
Evidence¶
Dennis Condron 2021¶
Dennis Condron, Douglas Downery, Megan Kuhfeld. (2021). Schools as refractors: Change in variance in children's cognitive skills change while in school versus out. Sociology of Education, 94(4), 316-340. https://journals.sagepub.com/home/soe doi:10.1177/00380407211041542
q1 · i? · associational · r?
The abstract's concluding sentence identifies "discrepant seasonal patterns across national data sets" as a discussed issue; the available text does not print the details or magnitudes of the discrepancies.
"We conclude by discussing the theoretical implications of our findings, possible reasons why the math findings differ from those of other subjects, and discrepant seasonal patterns across national data sets."
Discussion¶
Related Claims¶
- Interim achievement data exhibit distinctly seasonal patterns that few existing statistical models can approximate — related
- Seasonal growth patterns were examined with math and reading scores for over seven million K-8 students across three within-year test occasions — related
- Seasonal comparisons can test whether schooling exacerbates, reduces, or reproduces overall skill inequality — related
- Prior seasonal studies were limited to social-category skill gaps and early grades — related
- Schooling does not show a compensatory effect on math skill inequality — related
- The CP model fits seasonal achievement data better than a traditional polynomial growth model on RMSE, AIC, and BIC while reducing residual autocorrelation — related
- Schooling has a compensatory effect on inequality in reading, language, and science skills — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
discrepant-seasonal-patterns-national-data-sets |
title |
Seasonal patterns are discrepant across national data sets |
description |
Seasonal patterns are discrepant across national data sets |
status |
review |
evidence_strength |
weak |
newest_evidence |
2021 |
source_checked |
2026-10-20 |
recheck_by |
2026 |
generated |
by process:wiki-ingest on 2026-10-08 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — dennis-condron-2021 |
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