Have you been told you need to do multilevel modeling but you can't get past the forest of equations? Do you need the techniques explained with words & practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata The techniques are explained without reliance on equations & algebra so that new users will understand when to use these approaches & how they are really just special applications of ordinary regression Using real life data the authors show you how to model random intercept models & random coefficient models for cross-sectional data in a way that makes sense & can be retained & repeated This book is the perfect answer for anyone who needs a clear accessible introduction to multilevel modeling