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Open Access
Dataset on Actual Users of the Privacy-Enhancing Technology Tor
- Citation Author(s):
-
DavidHarborth
Goethe University Frankfurt am MainSebastianPapeGoethe University Frankfurt am Main - Submitted by:
- David Harborth
- Last updated:
- Wed, 01/22/2020 - 13:52
- DOI:
- 10.21227/734p-nx67
- Data Format:
- Links:
- License:
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Abstract
This dataset was collected for research conducted within the project AN.ON-Next funded by the German Federal Ministry of Education and Research (BMBF) with grant number: 16KIS0371.
The dataset is based on an online survey with actual users of the Tor technology. The dataset includes – among others – constructs from different established models of the literature like the technology acceptance model (TAM) by Davis (1985) and the Internet Users Information Privacy Concerns (IUIPC) model by Malhotra et al. (2004). Furthermore, there are extensive questions on privacy literacy covered by the online privacy literacy scale (OPLIS) by Masur et al. (2017).
The data are primarily gathered with 7-point Likert scales (exceptions are shown in the documentation). Thus, the analysis requires statistical approaches which are applicable to ordinal data. Examples of how the dataset was used in prior research can be found in the documentation.
Dataset Files
Dataset Tor.csv (24.77 kB)
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Documentation
| Attachment | Size |
|---|---|
 Documentation | 65.49 KB |
