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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.618

Data Set Experiment: Eyetracking of authentic causal and concessive Clauses
Data Set Experiment: Eyetracking of authentic causal and concessive Clauses

The data set contains all research data of the project “Causality and prediction in linguistic discourse”: 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.

Discourse Relations, Eyetracking-During-Reading, Causality-by-Default, Connectives, Concessive Relations, Causal Relations, Authentic Experimental Items
Frank, Markus
Schimke, Sarah
Flohr, Marie-Christin
Fenske, Alisa
2025

[thumbnail of Corpus data, eye tracking data, SoSciSurvey data & evaluation scripts] Other (Corpus data, eye tracking data, SoSciSurvey data & evaluation scripts)
project_data.zip - Ergänzendes Material

1GB
[thumbnail of readme.txt] Plain Text
readme.txt - Zusätzliche Metadaten

2kB

DOI: 10.5282/ubm/data.618

Dieser Datensatz steht unter der Creative Commons Lizenz
CC BY-SA 4.0

Be­schrei­bung

The data set contains all research data of the project “Causality and prediction in linguistic discourse”: 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
ID Code:618
Eingestellt von: Dr. Markus Frank
Eingestellt am:27. Mai 2025 12:35
Letzte Änderungen:27. Mai 2025 12:35

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