Introduction to Multilevel Analysis
Faculty of Social and Behavioural Sciences
04 July 2018
06 July 2018
Utrecht, The Netherlands
NOTE: this course is fully booked!
This course will teach you the theoretical basics of multilevel modeling and we will explore some important methodological and statistical issues. You will also learn how to analyze multilevel data sets with the HLM programme, to interpret the output and to report the results of the analysis. The benefits of multilevel analysis are discussed both in theory as with empirical examples.
Download the day-to-day programme (PDF)
Social research often involves problems that investigate the relationship between individual and society. The general concept is that individuals interact with the social contexts to which they belong, meaning that individual persons are influenced by the social groups or contexts to which they belong, and that the properties of those groups are in turn influenced by the individuals who make up that group.
Generally, the individuals and the social groups are conceptualized as a hierarchical system of individuals and groups, with individuals and groups defined at separate levels of this hierarchical system. The appropriate analysis technique for such a hierarchical system is multilevel analysis. The benefits of multilevel analysis are discussed both in theory as with empirical examples.
You might also be interested in:
- Advanced Multilevel
- A gentle introduction to Bayesian Statistics, for if you have a small cluster size
- Advanced Course on Using Mplus, for if you have intensive longitudinal data
Dr. Mirjam Moerbeek
Dr. Leoniek Wijngaards-de Meij
(Master) Students or (post-graduate) researchers who already have a basic knowledge of regression analysis (i.e., previously completed a bachelor level introductory course in multivariate analysis techniques).
A maximum of 25 participants will be allowed in this course.
Participants will learn the theoretical basics of multilevel modeling and some important methodological and statistical issues. They will also learn how to analyze multilevel data sets with the HLM program, to interpret the output and to report the results.
In the morning there will be lectures while during the afternoons multilevel analyses will be performed in computer practicals.
Course + course materials + lunch
Utrecht Summer School
Tuition fee for PhD students from the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by the Graduate School of Social and Behavioural Sciences.
Utrecht Summer School does not offer scholarships for this course.
Irma Reyersen - firstname.lastname@example.org
A Gentle Introduction to Bayesian Statistics
Advanced course on using Mplus
Advanced Multilevel Analysis
20 June 2018