Analysis for Schmälzle, Hartung, Imhof, Barth, Kenter, Renner, & Schupp (2019)

Data and analysis code for Schmälzle, R., Hartung, F-M., Imhof, M., Barth, A., Kenter, A., Renner, B. & Schupp, H.T. (2019). Visual cues that predict intuitive risk perception in the case of HIV. PlosOne [External Link]

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Code

• The notebook to reproduce all main results

Data

• Required data and variable files

Dependencies

• Python Anaconda should provide you with most of what you need.

The following packages are used and we feel very indebted to their creators:

• Project Jupyter, scikit-learn, Pandas, matplotlib, Seaborn

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2018 | Ralf Schmaelzle