Data underlying the MSc thesis: An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline
doi:10.4121/16566954.v1
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: 10.4121/16566954
doi: 10.4121/16566954
Datacite citation style:
Chen, Siyu (2021): Data underlying the MSc thesis: An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/16566954.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The dataset is a result of the master thesis 'An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline'. It also includes an R script with details of the analysis.
An experimental research was conducted for the topic with measures of participants' motivation levels towards seeking professional psychological help, feeling of being heard, satisfaction with the service and perceived usefulness. The data was collected from participants recruited from Prolific.The type of data is discrete quantitative data.
An experimental research was conducted for the topic with measures of participants' motivation levels towards seeking professional psychological help, feeling of being heard, satisfaction with the service and perceived usefulness. The data was collected from participants recruited from Prolific.The type of data is discrete quantitative data.
history
- 2021-12-30 first online, published, posted
publisher
4TU.ResearchData
format
xlsx, Excel, .R script, .txt
organizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science
DATA
files (3)
- 3,825 bytesMD5:
988e91c9d616954be60c0d1cb44cb458
README.txt - 37,957 bytesMD5:
9a14fe7c98a784449a0cbf538d8acee3
AnalysisScript.R - 42,261 bytesMD5:
fff59d42a514aaa0d2a3aa9ce9df5af3
Dataset.xlsx -
download all files (zip)
84,043 bytes unzipped