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GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2295
Other Title (type): Autonomous driving algorithms (Paralleltitel)
Abstract: Die Daten für dieses Projekt stammen aus einer Webbefragung unter 1.643 in Deutschland lebenden Internetnutzer*innen ab 18 Jahren im Mai 2021. Die Befragten wurden aus de ... more
Abstract: Die Daten für dieses Projekt stammen aus einer Webbefragung unter 1.643 in Deutschland lebenden Internetnutzer*innen ab 18 Jahren im Mai 2021. Die Befragten wurden aus de ... more
Availability: Free access (with registration)
Subject area: [Soziologie [=] Verkehrssoziologie [=] Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie]
Topics: Autonomous vehicle, Vehicle technology, Experiment, Autonomous vehicle, epidemic, artificial intelligence, stigma, stigmatization, algorithm, ethics of responsibility
Date(s) of Data Collection: 2021-05-05; 2021-05-16
Geographic coverage: Germany / DE
Universe: Deutsche Internetbevölkerung ab 18 Jahren
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Cohausz, Lea; University of Mannheim, Hensgen, Sophie; University of Mannheim, Keusch, Florian; University of Mannheim
Publication year: 2024
DOI: 10.7802/2295
Study number: SDN-10.7802-2295
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2295
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df_stigma_autonomous.csv
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MD5: | b6641833fe4298f5bcbef1fe55f284a2 |
---|---|
Type of file: | Research Data |
File size: | 4.03 MB |
Version number: | 01 |
Version date: | 2024-09-18 |
Language: | German / de |
Number of variables: | 100 |
Number of units: | 1643 |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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DataDocumentation_Questionnaire.pdf
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MD5: | d2bbfa18631b32d6f80134ba62240bb5 |
---|---|
Type of file: | Questionnaire |
File size: | 5.31 MB |
Language: | German / de |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
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codebook-stigma-autonomous.pdf
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MD5: | 5a1db51706caa1069a9a6b400c6d5bcf |
---|---|
Type of file: | Codebook |
File size: | 333.28 KB |
Version date: | 2024-09-18 |
Language: | German / de,English / en |
The download of these files requires a login at GESIS. Registration at GESIS is free of charge, open to all and gives you access to various GESIS services.
Downloads:
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methodsreport-stigma-autonomous.pdf
Zusätzliche Angaben zu der Datei show
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MD5: | 53467118c05eb14116b72b4d0ed4febf |
---|---|
Type of file: | Methods Report |
File size: | 68.72 KB |
Version date: | 2024-09-18 |
Language: | German / de,English / en |