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2017
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Introduction to Multilevel Analysis

Organizing institution
Utrecht University, Faculty of Social and Behavioural Sciences (UU)
Course code
S14
Course fee (incl. housing)
€ 650
Level
Master level

This course will teach you the theoretical basics of multilevel modeling and 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. The benefits of multilevel analysis are discussed both in theory as with empirical examples.

NOTE: this course is fully booked! New applicants will be placed on a waiting list.

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.

Tags: multilevel analysis, analysis, statistical analysis, hierarchical modeling, hlm

» Download the day-to-day programme (PDF)

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COURSE LEADER

Dr. Leoniek Wijngaards-de Meij

LECTURERS

Dr. Leoniek Wijngaards-de Meij

TARGET GROUP

(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

• € 650 - Course + course materials + housing
• € 450 - Course + course materials

Tuition for PhD candidates from the Faculty of Social and Behavioural Sciences will be funded by the Graduate School of Social and Behavioural Sciences.

NOTE: this course is fully booked! New applicants will be placed on a waiting list.

DISCOUNTS AND COMBINATIONS
» Overview of all available discounts

SCHOLARSHIPS

Utrecht Summer School does not offer scholarships for this course.

MORE INFORMATION

Marianne Geelhoed
ms.graduate.program@uu.nl

» Contact Utrecht Summer School

REGISTRATION

Deadline for registration: 19 June 2017

Course fully booked