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 (5)
- 61,755 bytesMD5:
c4feea0fd0d8c2b411cb51681892c5c6
README.pdf - 32,902 bytesMD5:
9376335468d409f441e42abe3566eaed
all_data.csv - 734 bytesMD5:
3f09d068ae6a1d089fd06b89c6de6207
Length.csv - 346,900 bytesMD5:
1bb052753da14adbd88e60289a2ddb70
Output_Self-identification_analysis Results.pdf - 26,595 bytesMD5:
03857df34327c9a3362fbd0955abcf90
R Markdown_Self-identification.Rmd -
download all files (zip)
468,886 bytes unzipped