Psychometric Scores for 69 Mathematics Infographics Created by Pre-Service Teachers

69 mathematics-themed infographics created by pre-service English teachers were evaluated using a 5-dimensional analytic rubric. The dataset contains psychometric evaluation scores from two independent raters, providing evidence for the rubric's validity and reliability. Authored by Ahmet YILDIZ and last updated on May 14, 2026, this data supports research on interdisciplinary digital material design within a Content and Language Integrated Learning (CLIL) framework.

Use Cases

• Validate a rubric for assessing digital educational materials based on the five described subdimensions.
• Analyze inter-rater agreement for complex, multi-component assessments based on the reported Cohen's Kappa and ICC scores.
• Study the integration of mathematical content and language learning in pre-service teacher education based on the CLIL context.
• Benchmark the quality of student-created infographics against established criteria like Conceptual Validity and Visual Design.

Strengths

• Includes psychometric evidence such as Lawshe’s Content Validity Ratio (CVR), weighted Cohen’s Kappa, Intraclass Correlation Coefficient (ICC), and Cronbach’s alpha.
• Data is derived from 69 independently evaluated artifacts, providing a basis for statistical analysis.
• The assessment tool is validated across five specific subdimensions, offering a structured evaluation framework.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 3.3 KB, indicating limited scope.

Provenance

Source

Ahmet YILDIZ via figshare

Collection Method

Scores derived from independent evaluation of 69 infographics by two raters.

Freshness

Last updated 2026-05-14 15:38:20; freshness should be verified.