Data · dataset · 2025
From Abstract to Domain-Specific: Development and Validation of Matrix Reasoning Tasks for Biology
Listed in Teesside University Research Data Repository
Matrix reasoning tests are frequently used as time-efficient measures of intelligence in identifying gifted students across domains.
Description
Factors like test-taking motivation, task interactivity, and performance validity are largely neglected in this context. In the current study, domain-specific matrix reasoning tasks were developed and validated to identify gifted students in Biology in grades 3-6.
The tasks were evaluated across two research cycles, involving a total of N = 895 students (n1 = 470; n2 = 425). An item analysis based on item response theory indicated acceptable item parameters and fit indices for the final item pool. Correlation analyses showed moderate to strong correlations with IQ and domain-specific abilities in scientific inquiry processes.
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These findings provide initial evidence that the matrix reasoning tasks have been successfully tailored to biology and that students with stronger domain-specific abilities were more engaged in these tasks. A group comparison showed that gifted students in biology outperformed randomly selected students, supporting the suitability of the developed tasks for identifying giftedness in Biology. The findings suggest that domain-specific adaptation of matrix reasoning tasks could improve performance validity in giftedness identification.
Links
Where it is published
- DOI doi.org/10.17632/cx7zwx7k66.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Social Science
- Inferred from text
- Specialist studies in education 70%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/cx7zwx7k66.1 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3904 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |