Netherlands, Utrecht

Multilevel with HLM

when 2 February 2016 - 4 February 2016
language English
duration 1 week
credits 1 ECTS
fee EUR 500

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.

Course leader

Dr. Leoniek Wijngaards-de Meij

Target group

This course is intended for (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).
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.

A max. of 25 number of participant will be allowed in this course.

Course aim

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.

Fee info

EUR 500: Course + course materials

Register for this course
on course website