Data Set Experiment: Eyetracking of authentic causal and concessive Clauses

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

Abstract

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.

Uncontrolled Keywords

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

• Item Type: Data
• Contact Person: Frank, Markus
• E-Mail of Contact: Markus.Frank at itg.uni-muenchen.de
• URL of Contact: https://www.sprach-und-literaturwissenschaften.uni-muenchen.de/studium/dhs/personen/koordination/frank/index.html
• Subjects: Languages and Literatures
• Dewey Decimal Classification: 100 Philosophy and Psychology; 100 Philosophy and Psychology > 150 Psychology; 400 Language; 400 Language > 410 Linguistics