Claims

CTAT shows robust psychometric properties for higher education CS/AI students, with reliable internal consistency and adequate IRT item parameters

Claim · All claims
Evidence · 1 study (2 entries) · design r3 · q3
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: 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? CTAT demonstrated reliable internal consistency (Cronbach's alpha 0.849) in a field test with 461 higher education students. → Shile Zhang and Shuhan Zhang 2026 q3 i? Under the 3PL1p IRT model, CTAT items showed adequate difficulty, discrimination above 0.5, and guessing at or below 0.35. → Shile Zhang and Shuhan Zhang 2026 (2)

Evidence

Shile Zhang and Shuhan Zhang 2026

Shile Zhang and Shuhan Zhang. (2026). Integrating AI into computational thinking: development and validation of an assessment tool for higher education students. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00623-0

q3 · i? · design · r3

Main-study field test of CTAT with 461 CS/AI students in two colleges and two vocational schools in northern China. The article reports Cronbach's alpha of "0.849", exceeding the 0.7 threshold, indicating reliable performance.

"Internal consistency was examined using Cronbach's alpha, which yielded a value of 0.849. This result exceeds the recommended threshold of 0.7 (Kline, 2023), indicating that the scale demonstrated reliable performance."

Shile Zhang and Shuhan Zhang 2026 (2)

Shile Zhang and Shuhan Zhang. (2026). Integrating AI into computational thinking: development and validation of an assessment tool for higher education students. International Journal of STEM Education. https://doi.org/10.1186/s40594-026-00623-0

q3 · i? · design · r3

IRT item-parameter analysis of the main-study data using the 3PL1p model. Mean difficulty was 0.634, mean discrimination 2.412 with all items above the 0.5 threshold, and mean guessing parameter 0.221, indicating adequate item parameters.

"CTAT had a mean difficulty of 0.634 (range -0.887 to 2.181), showing reasonable difficulty with broad coverage. The mean discrimination was 2.412 (range 0.503 to 5.609), all items exceeded the 0.5 threshold"

Discussion

Page metadata
Field Value
type claim
id ctat-robust-psychometric-properties
title CTAT shows robust psychometric properties for higher education CS/AI students, with reliable internal consistency and adequate IRT item parameters
description CTAT shows robust psychometric properties for higher education CS/AI students, with reliable internal consistency and adequate IRT item parameters
status review
evidence_strength moderate
newest_evidence 2026
recheck_by 2029
generated by process:wiki-ingest on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 2 — shile-zhang-and-shuhan-zhang-2026, shile-zhang-and-shuhan-zhang-2026-2

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