A Critical Analysis of Null Hypothesis Testing and its Alternatives (Including Bayesian Analysis)
This course will provide a detailed critique of the methods and philosophy of the Null Hypothesis Significance Testing (NHST) approach to statistics which is currently dominant in social and biomedical science. We will briefly contrast NHST with alternatives, especially with Bayesian methods. We will use some computer code (Matlab and R) to demonstrate some issues. However, we will focus on the big picture rather on the implementation of specific procedures.
- University Students from Tier 1 Departments
- Further details regarding eligibility criteria are available here
- Students should have studied some basic statistics before this course.
Number of sessions: 2
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Wed 4 Mar 2020 12:00 - 17:00 | 12:00 - 17:00 | Department of Psychology, Psychology Lecture Theatre | map | Prof D. Szucs |
| 2 | Wed 11 Mar 2020 12:00 - 17:00 | 12:00 - 17:00 | Department of Psychology, Psychology Lecture Theatre | map | Prof D. Szucs |
Interactive lectures
Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).
Students from the Department of Psychology MUST book places on this course via their own Department.
There may be an online open-book test at the end of the module; for most students, the test is not compulsory.
Booking / availability