Website for course "Experimental Psychology Lab", University of Osnabrück, 2018
Experimental work is hard. Opportunities for suboptimality and failure abound. This course is all about avoiding pitfalls and cultivating a mindset aimed at continually improving practices. We will execute the whole process of implementation, execution and data analysis during this course, based on a replication of an existing experiment, which we will preregister.
| session | day | topic | material |
|---|---|---|---|
| 1 | April 12 | introduction | handout, slides |
| 2 | April 19 | tidy cooperation ::: git ::: markdown | git, markdown, slides |
| 3 | April 26 | HTML, CSS & JS ::: _babe | _babe |
| 4 | May 03 | data wrangling & visualizing in R | slides, R4DS |
| 5 | May 17 | more R ::: Rmarkdown ::: reporting an experiment | slides example |
| 6 | May 24 | deployment ::: preregistration ::: planning | slides |
| 7 | May 31 | project presentations |
R for Data Science is our main resource on R and the tidyverse
if you are interested in reasons for doing science openly, read 7 deadly sins