Supplementary data to the paper: Self-identification with a virtual experience and its moderating effect on self-efficacy and presence
doi: 10.4121/12826307.v2
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/12826307
doi: 10.4121/12826307
Datacite citation style:
Kang, Ni; DING, DING; M.B. (Birna) van Riemsdijk; Morina, Nexhmedin; A. Neerincx, Mark et. al. (2020): Supplementary data to the paper: Self-identification with a virtual experience and its moderating effect on self-efficacy and presence. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/12826307.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 2 - 2020-08-24 (latest)
version 1 - 2020-08-21
This dataset is the result of a study on self-identification with a virtual experience and its moderating effect on self-efficacy and presence, conducted in Interactive Intelligence Group, Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, TU Delft. It included four types of files: the data collected in this study, the R scripts file of data analysis, the output of the analysis, and a readme file.
history
- 2020-08-21 first online
- 2020-08-24 published, posted
publisher
4TU.ResearchData
associated peer-reviewed publication
Self-identification with a virtual experience and its moderating effect on self-efficacy and presence
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
DATA
files
- 32,902 bytes md5 all_data.csv
- 734 bytes md5 Length.csv
- 346,900 bytes md5 Output_Self-identification_analysis Results.pdf
- 26,595 bytes md5 R Markdown_Self-identification.Rmd
- 61,755 bytes md5 README.pdf
- download all files (zip)