Alexandru Cernat is a lecturer in the social statistics department at the University of Manchester. He has a PhD in survey methodology from the University of Essex and was a post-doc at the National Centre for Research Methods and the Cathie Marsh Institute. His research and teaching focus on: survey methodology, longitudinal data, measurement error, latent variable modelling, new forms of data and missing data. You can find out more about him and his research at: www.alexcernat.com

WORKSHOP TITLE:          
Introduction to multilevel analysis using R
LENGTH:                           
Six hours
OVERVIEW:                      
The multilevel model is an essential tool that allows researchers to investigate data that is nested in nature (e.g., pupils in schools, individual in countries, time in individuals). In this course you will learn the basics of multilevel modeling as well how to implement it using R. The lecture will include a combination of lectures and hands on exercises using R.
OTHER PREREQUISITES:
A good understanding of regression modeling is essential.
MINIMUM AND MAXIMUM NO. OF REGISTRANTS:   
Up to 25 students.
OTHER INFORMATION: 
Please bring a laptop that has the latest version of R and Rstudio for the practical section. Make sure you are able to install packages. If that is not possible insure you have installed the following packages before coming: tidyverse, lme4, lattice.

Also, please register in advance to the European Social Survey website so you can access the data. This can be done here: https://www.europeansocialsurvey.org/user/new