Description: Mixed-effects models are often used to analyze linguistic data. These models are complex, with many parameters and therefore require quite a lot of data. It may happen (and happens quite often) that the, the statistical model which would be appropriate given the design is too complex for the data at hand. As a consequence, some parameters cannot be estimated (properly). In such cases, and when these models are run in lmer, R throws a convergence warning. In this workshop we will discuss these warnings, their meaning and possible consequences. We will discuss possible strategies.

Please register by May 24, 2024 to Sandra Schwab. The Zoom link will be sent to you upon registration.