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.
Period
22-08-2011 - 25-08-2011 (1 weeks)
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).
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.
Credits
0.0 ECTS creditsCertificate of Attendance
Course fee
EUR 795: Course + course materials + housing
EUR 595: Course + course materials
Course leader
Dr. Leoniek Wijngaards-de Meij
Scholarships
Utrecht Summer School doesn't offer scholarships for this course.
Utrecht University
Address: PO BOX 80148
Postal code: 3508 TC
City: Utrecht
Country: Netherlands
Website: http://www.utrechtsummerschool.nl
E-mail: summerschool@uu.nl
Phone: 0031302534400
Introduction to Multilevel Analysis
