
Good Experimental Design will ensure that your efforts are not in vain.
Typically, it'll ensure that the data you gather yields information that may answer the question you were asking in the first place. Without this, there's nothing worth publishing.
At the end of this course, you will be able to identify flaws in experimental design on 2 axes: sample constitution (randomization, active control) & avoidance of psychological bias.
You will be more conscious of the impacts of poor design, as it generates bad research and - should the data not get dumped right away - un-publishable papers.
- Enseignant: Jacqui Shykoff
Année: 20/21