Institution: see Organisers & Acknowledgements
Program of study: International Research Workshop
Lecturer: Roel de Jong (University of Hamburg)
Date: 06.10.2010, 09:00 – 17:30
Max. number of participants: 25
Semester periods per week: n.s.
Credit Points: 5 CP for participating in the whole IRWS
Language of instruction: English/German (depending on participants)
Many research designs in the social, medical and biological sciences yield data that have a hierarchical, nested or clustered structure. Examples include pupils within classes, children within families, occasions within an individual, experiments within batches, tests within laboratories, and so on. Classic statistical techniques fail to take into account that observations from the same cluster are likely to be dependent on each other, and are therefore not suited to analyze such data. Multilevel models have been developed over the last 20 years as an alternative, and are now the de-facto standard for the analysis of data with these complex patterns of variability.
In this course, you will learn :
- About the structure of multilevel models.
- How to ascertain the degree to which the observations of the sample are dependent.
- How to specify and fit multilevel models using statistical software.
- How to perform statistical tests relevant to the hypotheses at hand.
You have to register for the 4th International Research Workshop to participate in this course.