Data underlying the research on "Comprehensibility of Tabular and Graphical Risk Model Representations: Results of Two Controlled Experiments"
Datacite citation style:
Labunets, Kate (2019): Data underlying the research on "Comprehensibility of Tabular and Graphical Risk Model Representations: Results of Two Controlled Experiments". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:0a6d32ea-a93f-4c2f-ac1e-cdee73da021b
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Dataset
This dataset contains results of two controlled experiments with students in TU Delft on the comprehensibility of tabular and graphical risk model representations. The dataset contains the raw data collected with Qualtics survey platform, the dataset processed with responses validated against a baseline of correct responses. The dataset is related to the following publication: Labunets, K. (2018). No search allowed: what risk modeling notation to choose?. In Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (p. 20). ACM.
history
- 2019-06-26 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
references
funding
- European Commission, eu-repo/grantAgreement/EC/H2020/740920
organizations
TU Delft, Faculty of Technology, Policy and Management
DATA
files (1)
- 796,764 bytesMD5:
982142701a0bcf298f06d7f86cfd0ba6
2017-Compr-dataset - public.xlsx -
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