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.
- Postgraduate students and staff
- 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 6 Mar 2024 13:00 - 18:00 | 13:00 - 18:00 | Department of Psychology, Psychology Lecture Theatre | map | Prof D. Szucs |
2 | Wed 13 Mar 2024 13:00 - 18:00 | 13:00 - 18:00 | 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).
There may be an online open-book test at the end of the module; for most students, the test is not compulsory.
Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.
SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.
For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.
For more information, and links to specific Moodle module pages, please visit our website: https://www.ssrmc.group.cam.ac.uk/Key-Information/moodle-vle
Booking / availability