Alpha of knowledge tests is higher for language and mathematics than for science and social sciences/humanities¶
Claim · All claims
Evidence · 1 study · quant-synthesisr2·q3
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2028: 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.
q3 i? Language tests show higher Alpha (.87, p = .003) than science (.76), while mathematics (.83) did not differ significantly from science. → Peter A. Edelsbrunner 2025
Evidence¶
Peter A. Edelsbrunner 2025¶
Peter A. Edelsbrunner, Bianca A. Simonsmeier, Michael Schneider. (2025). The Cronbach’s Alpha of Domain‑Specific Knowledge Tests Before and After Learning: A Meta‑Analysis of Published Studies. Educational Psychology Review. https://doi.org/10.1007/s10648-024-09982-y
q3 · i? · quant-synthesis · r2
Meta-regression from Table 2 controlling for log-centered test length. Language tests (.87, p = .003) exceeded science (.76); mathematics (.83, p = .235) and social sciences/humanities (.77, p = .750) did not differ significantly from science. Table 1: "Highest estimates for mathematics and language."
"Science 15 37 .76 [.68, .82] [.00, .95] ref 0.46 97.74 Social sciences ___/Humanities 5 22 .77 [.74, .80] [.02, .95] .750 0.18 95.57 Language 24 166 .87 [.83, .89] [.42, .97] .003 0.81 98.54 Mathematics 11 58 .83 [.73, .89] [.22, .96] .235 0.48 98.58"
Discussion¶
Related Claims¶
- Alpha is negatively related to sample mean age, and knowledge type shows no effect after controlling for test length — related
- Digital data use differs by teaching subject: STEM teachers report lower use than languages/arts/humanities and vocational teachers, and vocational teachers report the highest use — related
- Cronbach's Alphas of knowledge tests vary widely, with a 90% prediction interval of (0.35, 0.96) — related
- Meta-analytic average Cronbach's Alpha of domain-specific knowledge tests is 0.85 with expected item intercorrelation of 0.22 — related
- Stealth assessment facets show good internal consistency (Cronbach's alpha = 0.76) while MicroDYN reliabilities were low in this middle-school sample — related
- A pilot study (N = 10) established timed-administration parameters, showing high internal consistency and minimal speededness for the SCS1 12-item subset — related
- Open response format is associated with higher Alpha than multiple choice in knowledge tests — related
- Reliability estimates vary by region and instrument, with ARS showing α/ω = 0.90 and ABS α/ω = 0.82, and the evidence base geographically uneven — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
knowledge-test-alpha-domain-differences |
title |
Alpha of knowledge tests is higher for language and mathematics than for science and social sciences/humanities |
description |
Alpha of knowledge tests is higher for language and mathematics than for science and social sciences/humanities |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2025 |
recheck_by |
2028 |
generated |
by process:wiki-ingest on 2026-10-19 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — peter-a-edelsbrunner-2025 |
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