Bayesian Approached Relevant for the Social and Behavioral Sciences and Humanities
How can Bayesian approaches contribute to research in the Social and Behavioral Sciences and Humanities, that is, how can Bayesian approaches contribute to the use of one and multiple sources of data and information to answer research questions.
During my stay at NIAS I will interview the other fellows to determine what kind of research they do and what their research methods are. During the interviews I will elaborate what Bayesian statistics might contribute to their research methods. This will render information about which features of Bayesian statistics are considered to be most relevant by scientists in the Social and Behavioral Sciences and Humanities. The main output of my stay at NIAS will be a report in which the most relevant Bayesian approaches will be introduced, exemplified with real data and R code, and discussed. The report will be accompanied by a website providing links to data, code and software used, such that these approaches become accessible and applicable.
Hoijtink, H., Mulder, J., van Lissa, C., and Gu, X. (2018). A tutorial on testing hypotheses using the Bayes factor. Psychological Methods. DOI: 10.1037/met0000201
Hoijtink, H., Gu, X., and Mulder, J. (2018). Bayesian evaluation of informative hypotheses for multiple populations. British Journal of Mathematical and Statistical Psychology. DOI: 10.1111/bmsp.12145
Hoijtink, H. (2012). Informative Hypotheses: Theory and Practice for Behavioral and Social Scientists. Boca Raton: Chapman & Hall/CRC.