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Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models

Luca Flesia, Merylin Monaro, Cristina Mazza, Valentina Fietta, Elena Colicino, Barbara Segatto, Paolo Roma

2020. DOI 10.31234/osf.io/yb2h8

Has this study been replicated?

The atlas records 1 reproduction of this study. Recorded outcomes: 1 mixed.

Reproductions

• Flesia covid P39Z - Szabelska - Reproduction (with author data), Miske et al. (2020). OSF. Outcome recorded: computationally reproducible, robustness not checked. Computational: "The results for the monthly income are: unstandardized coefficient = -0.46319, p = 0.000540. The claim was precisely replicated." Outcome read from Computational: Reproduction result. View paper

Cite this record

Flesia, L., Monaro, M., Mazza, C., Fietta, V., Colicino, E., Segatto, B., & Roma, P. (2020). Predicting Perceived Stress Related to the Covid-19 Outbreak through Stable Psychological Traits and Machine Learning Models. https://doi.org/10.31234/osf.io/yb2h8

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• Flesia covid P39Z - Szabelska - Reproduction (with author data)
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• Reproduction (with author data): Goeree et al. (2011, Econometrica)
• Self-interest and fairness: self-serving choices of justice principles
• Rodriguez-Lara ExpEco 2012 AgO1 - Chen - Reproduction (with author data)

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