Introduction to Multilevel Analysis

  • LocationUtrecht
  • Duration3 days
  • Starting moment10-07-2024
  • LanguageEnglish
  • Teaching methodAt location
  • Price€600
  • ECTS1. EC

This course will teach you the theoretical basics of multilevel modelling and some important methodological and statistical issues. You will also learn how to analyse multilevel data sets with the R and R Studio programmes, to interpret the output and to report the results.

The benefits of multilevel analysis are discussed both in theory as with empirical examples. This course restricts to a quantitative (i.e. continuous) outcome variable. Categorical outcomes are part of the course Advanced Multilevel.

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 well as with empirical examples.

You might also be interested in the course ‘Advanced longitudinal modeling in Mplus’

Participants are requested to bring their own laptop computer. Software will be available online.

We also offer tailor-made M&S courses and in-house M&S training. If you want to check out the possibilities, please contact us at ms.summerschool@uu.nl

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). Prior knowledge of R is not needed.

Aim of the 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 R and R Studio programmes, to interpret the output and to report the results.

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