Uitgebreide vaknaam 
Multilevel Analysis 
Leerdoelen 
After the course the student will have a good understanding of the basic (random intercept and random slope) multilevel models and their assumptions. The students has a good knowledge of the type of research questions these models can handle and is able to formulate appropriate research questions for empirical problems. The student is able to use the software MLwiN, to apply it to empirical datasets, interpret results, test hypotheses, and check assumptions, and to explain and report the analysis in the methods and results sections of a scientific paper. The student will have a working knowledge of multilevel logistic regression and its estimation methods. 
Omschrijving 
Multilevel analysis, also called hierarchical modelling, is a methodology for analysing data that have a natural hierarchical structure. A frequently occurring nesting structure is individuals nested within groups, but these methods can be applied also, e.g., to longitudinal and panel data, growth curve modelling, and metaanalysis. This course gives an introduction to multilevel analysis assuming a good background knowledge of linear regression analysis or Analysis of Variance. Basic topics treated are the random intercept model, random slopes models, posterior means, parameter interpretation, testing of parameters. Some more advanced topics will also be treated: assessment of model fit, binary outcomes (i.e., multilevel logistic regression), multivariate outcomes, and data structures that include crossed as well as nested factors. In computer lab classes the students learn to use the program MlwiN. Students are encouraged to work with their own data for the assignment. 
Uren per week 
4 
Onderwijsvorm 
(7 2hour lectures and 7 2hour lab sessions)

Toetsvorm 
schriftelijk tentamen (essay)
(paper (individual assignment) and exam (essay))

Vaksoort 
master

Coördinator 
dr. M.A.J. van Duijn

Docent(en) 
dr. M.A.J. van Duijn

Verplichte literatuur 
Titel 
Auteur 
ISBN 
Prijs 
Multilevel analysis. An introduction to basic and advanced multilevel modeling. 2nd EditionLondon etc.: Sage Publications, 2011. 
Snijders, T.A.B., and Bosker, R.J. 

ca.
€
35,00


Entreevoorwaarden 

Opmerkingen 
Maximum number of students who can participate: 25. Participants other than from the Research Master's programme in Behavioural and Social Sciences need to register at least 4 weeks before the start of the course. 
Opgenomen in 
