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 HLM and Mplus programs, 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 with empirical examples.
Please note that there is always the possibility that we have to change the course pending COVID19-related developments. The exact details, including a day-to-day program, will be communicated 6 weeks prior to the start of the course.
(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 40 participants will be allowed in this 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 HLM and Mplus programs, to interpret the output and to report the results.
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.
In the morning there will be lectures while during the afternoons multilevel analyses will be performed in computer practicals.
Please note that there are no graded activities included in this course. Therefore, we are not able to provide students with a transcript of grades. You will obtain a certificate upon completion of this course.
Housing through: Utrecht Summer School.
You can choose between two options for participating in this course, but please note that there is always the possibility that we have to change the course pending COVID19-related developments:
If you are interested in the campus option, let us know via a message in the application form under ‘Student Comment’.
The physical course costs €510, but if you participate via the livestream you will get a 60 euro discount. Note that if you choose the campus option, you will be asked to first pay the livestream-fee (€450) and, when we have permission from the university to actually organise classes on location, we will send a second invoice for the remainder of the fee. This way, you will be ensured to have at least a spot for the livestream.
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.
Irma Reyersen | E: email@example.com