Model-Based Recursive Partitioning in the Social Sciences

Who It's For: Anyone interested in understanding the intersections of machine learning and social science research.

Why We Love It: The article includes an empirical example relevant to social science research. The authors also compare recursive modeling to statistical models to make it clearer how they differ.

Citation: Kopf, J., Augustin, T., & Strobl, C. (2014). The potential of model-based recursive partitioning in the social sciences: Revisiting Ockham's Razor. In J. J. McArdle & G. Ritschard (Eds.), Contemporary issues in exploratory data mining in the behavioral sciences (pp. 75-95). Routledge/Taylor & Francis Group.