Master’s students in Psychology with a:
- Basic understanding of the concepts underlying multiple regression analysis
In empirical research we often have nested data. Examples of nested data are when we have measurements of children from different classes or school, and measurements of employees in firms. One important class of nested data is longitudinal data, where there are measurements at different time points nested within an individual.
Nested data create dependent observations, i.e. children in one class are more alike than children from different classes or measurements of one subject are more alike than measurements of different subjects. The statistical analysis needs to take into account this dependency. Two classes of regression models exist that deal with this dependency: the first class ignores the dependency when etsimating the regression weights but adjusts standard errors to obtain valid inference; the second class include includes specific parameters in the regression model that account for the dependency. The latter model is the so-called multilevel regression model.
In this course these two types of regression models will be introduced and explained in much detail.
Learns to distinguish between nested and non-nested data
Learns the intraclass correlation
Understands the bootstrap and knows how to use it in longitudinal data analysis
Learns R software for applying the bootstrap method in longitudinal data analysis
Acquires a basic understanding of the multilevel model
Understands how multilevel models deal with dependency
Learns R software for fitting multilevel models
Multilevel Analysis (2014-2015):
Students need to enroll for lectures and work group sessions. Please consult the Instructions registration
Mode of instruction
Supervised computer practicals.
Two take home assignments.
The Faculty of Social Sciences has instituted that instructors use a software programme for the systematic detection of plagiarism in students’ written work. In case of fraud disciplinary actions will be taken. Please see the information concerning fraud
Multilevel Analysis occasionally uses of the learning environment Blackboard . (http://blackboard.leidenuniv.nl/)
J.D. Singer and J.B. Willett (2003). Applied longitudinal data analysis: modeling change and event occurrence. Oxford University Press, Inc.
M. de Rooij (2012). Standard regression models for repeated measures data. (paper will be distributed during course).
J. Hox (2010). The basic two level regression model. Chapter 2 from Hox. J (2010). Multilevel Analysis. Techniques and applications (2nd edition). New York, NY: Routledge. Chapter available on the web. http://joophox.net/mlbook2/MLbook.htm
Dr. M. de Rooij
Methodology and Statistics Unit, room 3B21
Tel: +31(0)71 527 4102