Projects
Topic Assignment
| No. | Topic | Presenter 1 | Presenter 2 |
|---|---|---|---|
| 1 | Understanding the concept of shrinkage in multilevel models with practical applications | Hossain | Hosen |
| 2 | Choosing a random-effects structure: Keep it maximal or parsimonious? | Rick | Grabo |
| 3 | Different approaches for selecting among multilevel models (I) | Bilal | Burhanur |
| 4 | Different approaches for selecting among multilevel models (II) | Sajid | Tanvir |
| 5 | Discussing different likelihoods and link functions, and their influence on the interpretation of results (generalized linear multilevel models) (I) | Thao | Darya |
| 6 | Discussing different likelihoods and link functions, and their influence on the interpretation of results (generalized linear multilevel models) (II) | Islam | Redoana |
| 7 | Understanding multilevel models for longitudinal data and different covariance matrix specifications of the residual error term | Nasim | Navid |
| 8 | Correct and comprehensive reporting of results of a multilevel analysis: Guidelines and helpful tools | Farmal | Manouchehr |
| 9 | Multilevel models for big data: Approaches for handling very large data sets | Emon | Opeyemi |
Report [Tutorial]
For the reports, I’d like to use a format that’s a bit different from the usual. Specifically, I want you to create a tutorial on your respective topics. I recommend using either R Markdown or Jupyter Notebook as tool for creating a respective HTML file.
Each group should write one tutorial and unlike the presentation evaluations, there will be only one group grade for the tutorial.
The tutorial should exhibit the following characteristics:
- Thoughtful selection of topics that will be explored in depth, rather than covering a wide range of topics superficially.
- Inclusion of concrete examples with data sets.
- Clear presentation of information using tables and graphics.
- A combination of theoretical/mathematical background with a practical implementation for the user.
- A coherent and consistent discussion of the chosen topic.
- Examination of the pros and cons of specific methods, criteria, etc.
Please note that while the format of the work may not be a traditional report, the tutorial should adhere to the standards of scientific work. This includes proper citation following a style like APA or Harvard, accurate presentation of tables and graphics, and a correctly formatted reference list.
Furthermore, I want you to explain both, the methodological/mathematical background as well as the implementation in R. So, don’t focus only on implementation and show long code blocks in your tutorial.
Important: Due to the format it is important that you select only very specific aspects of your respective topic that you want to discuss and illustrate via one or more examples. Therefore, the literature I have provided for each topic should be considered as a suggestion. I do not expect you to cover all the content discussed in the papers but rather (1) to get an overview of your specific topic and (2) to select a few key concepts which you discuss in detail in your tutorial. The individual group meetings scheduled until the end of the year (see Course Plan) are specifically designed for you to get feedback on your specific topic selections.
Here are some good examples of tutorials:
Presentation
- 45-minute presentation and a 15-minute discussion
- adhere to the presentation time
- both presenters should have equal amount of speaking time
- we provide individual grades for the presenters
- upload your slides as PDF one day before your presentation (in Moodle)
Evaluation criteria
On the following PDF you will find our general evaluation criteria for presentations and reports. Even though we won’t have a classical report in this seminar, the criteria are still valid.