Acceso usuarios
The article by Rights and Sterba (2023, Multivariate Behavioral Research 58: 340-367) provides a comprehensive framework for computing measures for (linear) multilevel models. In this article, we introduce r2mlm, a postestimation command for mixed that computes measures using Rights and Sterba’s framework. We explain how this framework works and demonstrate how r2mlm can be used to compute various measures for models fit by mixed. One of the most useful features of r2mlm is that it will produce warning messages if the user specifies the model in a way that may lead to conflation bias (an easily overlooked issue). Finally, we walk through a simple example and explain how to interpret the various measures.
