TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information

Enkelejda Kasneci; Gjergji Kasneci; Tobias Appel; Johannes Haug; Franz Wortha; Maike Tibus; Ulrich Trautwein; Peter Gerjets

doi:10.1038/s41597-021-00938-3

Scientific Data (Jun 2021)

TüEyeQ, a rich IQ test performance data set with eye movement, educational and socio-demographic information

Enkelejda Kasneci,
Gjergji Kasneci,
Tobias Appel,
Johannes Haug,
Franz Wortha,
Maike Tibus,
Ulrich Trautwein,
Peter Gerjets

Affiliations

Enkelejda Kasneci: Human-Computer Interaction, Department of Computer Science, University of Tübingen
Gjergji Kasneci: Data Science and Analytics, Department of Computer Science, University of Tübingen
Tobias Appel: Human-Computer Interaction, Department of Computer Science, University of Tübingen
Johannes Haug: Data Science and Analytics, Department of Computer Science, University of Tübingen
Franz Wortha: Leibniz-Institut für Wissensmedien
Maike Tibus: Hector Research Institute of Education Sciences and Psychology, University of Tübingen
Ulrich Trautwein: Hector Research Institute of Education Sciences and Psychology, University of Tübingen
Peter Gerjets: Leibniz-Institut für Wissensmedien

DOI: https://doi.org/10.1038/s41597-021-00938-3
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 14

Abstract

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Measurement(s) intelligence • eye movement • Socioeconomic Factors Technology Type(s) culture fair intelligence test (CFT-R) • eye tracking device • Questionnaire Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14173244

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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