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Social

Introduction to Multilevel Analysis

Closed
Organizing institution
Utrecht University - Faculty of Social and Behavioural Sciences
Course code
S14
Course fee (excl. housing)
€ 450.00
Level
Master

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.

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



Download the day-to-day programme (PDF)

Course director

Dr. Mirjam Moerbeek

Lecturers

Dr. Leoniek Wijngaards-de Meij

Target audience

(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.

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.

Study load

In the morning there will be lectures while during the afternoons multilevel analyses will be performed in computer practicals.

Fee

Course + course materials + lunch € 450.00
Housing € 200.00 , through 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.

Scholarships

Utrecht Summer School does not offer scholarships for this course.

More information

Irma Reyersen  -  ms.graduate.program@uu.nl
Recommended combinations
A Gentle Introduction to Bayesian Statistics
Advanced course on using Mplus
Advanced Multilevel Analysis

Registration

Application deadline: 20 June 2018