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Bayesian analysis in social sciences

Author

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  • Nguyen, Minh-Hoang

Abstract

Given the reproducibility crisis (or replication crisis), more psychologists and social-cultural scientists are getting involved with Bayesian inference. Therefore, the current article provides a brief overview of programs (or software) and steps to conduct Bayesian data analysis in social sciences.

Suggested Citation

  • Nguyen, Minh-Hoang, 2021. "Bayesian analysis in social sciences," OSF Preprints zwdg2, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:zwdg2
    DOI: 10.31219/osf.io/zwdg2
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    References listed on IDEAS

    as
    1. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
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    5. Colin F. Camerer & Anna Dreber & Felix Holzmeister & Teck-Hua Ho & Jürgen Huber & Magnus Johannesson & Michael Kirchler & Gideon Nave & Brian A. Nosek & Thomas Pfeiffer & Adam Altmejd & Nick Buttrick , 2018. "Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015," Nature Human Behaviour, Nature, vol. 2(9), pages 637-644, September.
    6. Quan-Hoang Vuong & Manh-Tung Ho & Hong-Kong T. Nguyen & Thu-Trang Vuong & Trung Tran & Khanh-Linh Hoang & Thi-Hanh Vu & Phuong-Hanh Hoang & Minh-Hoang Nguyen & Manh-Toan Ho & Viet-Phuong La, 2020. "On how religions could accidentally incite lies and violence: folktales as a cultural transmitter," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 6(1), pages 1-13, December.
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