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Overview
Key facts
- Regression analysis is used to explain variation in your dependent variable by one, or multiple independent variables through fitting the best linear (unbiased) estimates to whatever relationship(s) the researcher specifies.
- But it is not this simple. In Radboud University's Introduction to Regression and Inferential Statistics course, we will learn how to conduct regression analysis in a way that it makes sense. We will go through how to avoid common mistakes and how to avoid the production of nonsensical regression results, or more generally: bad science.
- To do this, I assume that course participants have a basic understanding of inferential statistics and understands hypothesis testing, variance, central limit theorem, z and t-tests, and Pearson correlations.
- But if you don't, no worries. As part of this course, I will provide a full online self-guided workshop on all these topics so you can either learn or review the basics. (Just make sure you allocate adequate time for this in the two-three weeks before the start of the course.)
Programme Structure
Course include:
- All analyses for the course will be conducted in R but examples can easily be implemented in other software.
- We will not cover all aspects of data management in R. We will simply load up a clean example dataset and run the models and diagnostics in R.
- If you want to run regressions on your own data I strongly urge you to also take our R class, though it is not absolutely necessary to do before this course.
Key information
Duration
- Full-time
- 5 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Credits
2 ECTS
Delivered
On Campus
Disciplines
Statistics View 8 other Short Courses in Statistics 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
- The course assumes no prior knowledge and minimizes math burden. If you can add, subtract, multiply, and divide positive and negative numbers, you will be fine. What I do assume is that if you were not previously familiar with any statistical basics, you take the time to go through the self-guided workshop I will provide.
- Just know that this workshop is as long as, and as much work as this whole week-long regression course itself. Assume the materials will become available only 2-3 weeks before the class and plan accordingly with your time.
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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