Multilevel Data Analysis using R
May 25, 2017 10:00 AM
End: May 25, 2017 04:30 PM
The aim of this workshop is to provide an introduction to multilevel research design and data analysis using the R statistical environment..
Research increasingly requires more complex designs with more data, often collected from individuals in different social contexts or backgrounds. This creates (a) a methodological challenge because such data violate basic assumptions of linear regression, and (b) an opportunity to understand how factors at different levels of analysis (e.g. school, organization, etc.) can impact on individuals. This workshop will introduce participants to methods, techniques and software that can be used to address the challenges and take advantage of the opportunities that multilevel approaches offer.
The workshop will be organized in three parts, which will introduce users to multilevel modelling using R and some of the available R packages. Each of these sections will begin with a short presentation on the background theory and assumptions and will be followed by practical examples that participants will have an opportunity to try for themselves.
The workshop is intended for anyone interested in data analysis of multilevel data (e.g. school-classroom-student or hospital-ward-patient). Participants are not required to have any prior knowledge of multilevel modelling but some knowledge of basic statistical techniques (primarily linear regression) and the R statistical environment is required.
The course will take place in a cluster room, with access to a computer and R. Delegates are welcome to bring their own laptops if preferred (access to the UCL Guest network will also be provided), but everyone wishing to bring their own computer should ensure R is installed before attending (installation guidelines will be made available two weeks before the course).
All CASC courses take place in central London, in or close to the Institute of Child Health. Specific details of the course venue will be supplied after registration.
External Delegates (Non-UCL) £150
UCL Staff, Students, Alumni £75 *
* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university
Prices include printed course materials, refreshments and lunch (12.45pm - 1.45pm).
Please note that no refunds will be given for cancellations made within five working days of the course start date or for non-attendance, and for individuals attending the course on a funded place, a fee will be charged for late cancellation/non-attendance according to the same time frame. This fee is needed to cover printing, catering, etc. costs that are ordered no later than 5 days before the course and are based on the number of people registered at that point in time.
“Great course delivered at the correct speed and clarity.” “Well organised and enjoyable course” "The lecturer was very competent and engaging and clearly a master of the subject matter. He provided helpful answers to
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