Using Classification and Regression Trees (CART) and random forests to analyze attrition: Results from two simulations.

In this article, we describe a recent development in the analysis of attrition: using classification and regression trees (CART) and random forest methods to generate inverse sampling weights. These flexible machine learning techniques have the potential to capture complex nonlinear, interactive sel...

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Publicado en:	Psychology & Aging Vol. 30; no. 4; pp. 911 - 930
Autores principales:	Hayes, Timothy, Satoshi Usami, Jacobucci, Ross, McArdle, John J., Usami, Satoshi
Formato:	journal article
Publicado:	American Psychological Association Dec2015
Materias:	Psychological research Regression analysis Random forest algorithms Simulation methods & models Comparative studies
Acceso en línea:	Ver este registro en EBSCOhost