Overview of sessions
| Title | Description |
|---|---|
| Session 01 - Introduction | Threats to credible research; choice of replication target |
| Session 02 - Threats part 2, ethics approval, Git | Continuing the discussion on threats to credible research; introducing ethics approval; intro to Git. |
| Session 03 - Preparing the study material | We follow the steps of CREP and prepare our study material |
| Session 04 - Finalize study material | We finalize all study material |
| Session 05 - Finalize Study & Prereg | We do the last finetuning of the study; intro to preregistration |
| Session 06 - Preregistration 2; Good coding practices | We learn more about preregistration and how to set up a code repository that facilitates reproducibility |
| Session 07 - Reproduction of original results | We try to reproduce the original results with the original data set (no code provided). We finalize and submit the preregistration. |
| Session 08 - Open Data | We talk about how to publish open data and how to create a codebook. |
| Session 09 - Data Analysis & Power Analysis | We review the data preprocessing and agree on a “best practice” version of it. We create coding instructions for free-text answers. We do a proper power analysis based on the original finding. |
| Session 10 - How to Hausarbeit | The structure of the final report; apaquarto; confirmatory analyses |
| Session 11 - The Grand Final | Wrapping it all up. Discussing AI use in university teaching. |
No matching items