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. We do this using _magpie, an architecture to help realize browser-based experiments.
This is the material for a course taught at ESSLLI 2019 (Riga, Latvia).
|Mon, Aug 11||open science, git, and _magpie||lecture notes Chapters 2, 3, and 4|
|Tue, Aug 12||_magpie basics||lecture notes Chapter 5, quick start guide|
|Wed, Aug 13||case study (on conditionals)||lecture notes Chapter 6, Douven & Verbrugge (2010)|
|Thu, Aug 14||results from the replication study||Lecture notes chapter 6.3|
|Fri, Aug 15||deployment and advanced features of _magpie||lecture notes Chapter 7, 8|