Data underlying the research on "Comprehensibility of Tabular and Graphical Risk Model Representations: Results of Two Controlled Experiments" (dataset)

Data underlying the research on "Comprehensibility of Tabular and Graphical Risk Model Representations: Results of Two Controlled Experiments"

doi: 10.4121/uuid:0a6d32ea-a93f-4c2f-ac1e-cdee73da021b

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

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

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781

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162

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categories

keywords

Comprehension, Controlled experiment, Cyber risk modeling, Cyber security risk assesssment, Memorization

time coverage

09/2017

licence

CC BY-NC-SA 4.0

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by Katsiaryna Labunets

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.

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