A full answer-level audit confirmed 485 unique identifiers and validated that every stored total equals the sum of its criterion marks¶

Claim · All claims
Evidence · 1 study · design r1 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Every criterion mark was checked against its criterion maximum, over-allocations were corrected, and the final JSON was audited across all 485 records. → Jahangir Alam SM 2026

Evidence¶

Jahangir Alam SM 2026¶

Jahangir Alam SM, Md Khalid Syfullaha, Saad Ahmed, Munira Akter Mou, A K Z Rasel Rahman, A.K.M. Masudur Rahman, Mohammed Sowket Ali. (2026). Multimodal examination answer data with expert-designed Outcome-Based Education rubrics for criterion-level assessment. arXiv. https://arxiv.org/abs/2608.22346 doi:10.48550/arxiv.2608.22346

q2 · i? · design · r1

Score-validation reporting from the Score Validation section of the preparation workflow. The article reports that "Each stored total equals the sum of its criterion marks" and that no total exceeds its question-level rubric maximum; the verified range for Question 1 is 0 to 5 with a mean of 2.82 marks. Descriptive audit result; no effect size.

"Every criterion mark was checked against the applicable criterion maximum. Any source value above its valid maximum was corrected during preparation, and the total mark was updated where the correction changed the aggregate. The final answer-level JSON was audited across all 485 records."

Discussion¶

Related Claims¶

• Subject distribution is uneven, with E-commerce contributing five answers and Machine Learning 88 of 485 — related
• The dataset's 12 question templates contain 47 criteria, with question maxima ranging from 5 to 16 marks — related
• Summing all test scores into one general-intelligence rating manufactures the appearance of a general factor — related