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Featured byRadboud University
Overview
Key facts
- Models and examples are discussed in as non-technical a way as possible; the emphasis is on understanding the methodological and statistical issues involved in application of the models.
- Following the day 1 introductory meeting, course days 2 and 3 are devoted to the analysis of (two-level) cross-sectional data, day 4 to the analysis of panel data, with repeated measures nested in individuals, and day 5 to multilevel logistic regression.
- Radboud University offers the Multilevel regression analysis with R programme.
Programme Structure
Courses include:
- Day 1, discussion of the unique features of multilevel data and their consequences for statistical analysis, including number of effective observations, intra-class correlation, null and random intercept model, and the R software itself.
- Topics covered on day 2 are fixed effects, random slopes and significance testing, and we discuss level-1 (X) and level-2 (Z) predictors variables, types of regression effects (fixed, random), and null hypothesis tests (Wald test, likelihood ratio test, Satterthwaite df).
- On day 3 the issues covered include cross-level interaction and proportion explained variance.
- On day 4 the attention shifts to longitudinal data.
- On day 5 the multilevel mixed effects model is briefly juxtaposed with Generalized Least Squares followed by a discussion of multilevel logistic regression.
Key information
Duration
- Full-time
- 5 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Credits
2 ECTS
Delivered
On Campus
Disciplines
Computer Sciences View 22 other Short Courses in Computer Sciences in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
- Participants should have a basic knowledge of social science statistics, including analysis of variance and multiple regression analysis.
- Computer exercises will be done in R but familiarity with R is not required. Participants need to bring their laptop computer.
- The R software provided by CRAN should be installed on the participant’s device. It is also recommended to install RStudio
Tuition Fee
To always see correct tuition fees
-
International
1049 EUR/fullTuition FeeBased on the tuition of 1049 EUR for the full programme during 5 days. -
National
1049 EUR/fullTuition FeeBased on the tuition of 1049 EUR for the full programme during 5 days.
Living costs for Nijmegen
800 - 1000 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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