So what we need is a multilevel model with a non-normal response; in other words, a __multilevel generalized linear model (multilevel GLM)__. \index{multilevel GLM} We will investigate what such a ...

In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...

What is a Generalized Linear Model? A traditional linear model is of the form where y i is the response variable for the i th observation. The quantity x i is a column vector of covariates, or ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

In the past 2 decades latent variable modeling has become a standard tool in the social sciences. Linear structural equation models have been extended to include non-linear interaction and quadratic ...

- Recognize when multilevel generalized linear models (multilevel GLMs) are appropriate. - Understand how multilevel GLMs essentially combine ideas from earlier chapters. - Apply exploratory data ...