Data Set Experiment: Eyetracking of authentic causal and concessive Clauses

Zitation: Frank, Markus und Schimke, Sarah und Flohr, Marie-Christin und Fenske, Alisa: Data Set Experiment: Eyetracking of authentic causal and concessive Clauses. 16. Mai 2025. Open Data LMU. 10.5282/ubm/data.817

Be­schrei­bung

The dataset contains all the research data from the publication: Frank, M., Flohr, M-C, Fenske, A., & Schimke, S. (2026). The Online Processing of Causal and Concessive Relations in Authentic Sentences: Evidence from Eye Tracking. Discourse Processes. https://doi.org/10.1080/0163853X.2026.2691679 1. All data from the data mining process for designing the stimuli for the study. 2. Stimuli in the import formats for Experiment Builder (SR Research) and the SoSci Survey platform. 3. All raw data from the eye-tracking experiment, the subject questionnaire, the SoSci Survey platform and the comprehension questions during the experiment. 4. Completely cleaned eye tracking data with the final interest areas and the export configuration for Data Viewer (SR Research). 5. All data for calculating the test statistics and visualizations, including the corresponding R script.

Stichwörter

Discourse Relations, Eyetracking-During-Reading, Causality-by-Default, Connectives, Concessive Relations, Causal Relations, Authentic Experimental Items

• Dokumententyp: Daten
• Name der Kontakt­person: Frank, Markus
• E-Mail der Kontaktperson: Markus.Frank at itg.uni-muenchen.de
• URL der Kontaktperson: https://www.sprach-und-literaturwissenschaften.uni-muenchen.de/studium/dhs/personen/koordination/frank/index.html
• Fächer: Sprach- und Literaturwissenschaften
• Dewey Dezimal­klassi­fikation: 100 Philosophie und Psychologie ; 100 Philosophie und Psychologie > 150 Psychologie ; 400 Sprache ; 400 Sprache > 410 Linguistik
• Eingestellt von: Dr. Markus Frank