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Instructor-led course

Provided by: Social Sciences Research Methods Programme


This course has 1 scheduled run. To book a place, please choose your preferred date:


Wed 10 Mar 2021


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A Critical Analysis of Null Hypothesis Testing and its Alternatives (Including Bayesian Analysis)


Description

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.

Target audience
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
Prerequisites
  • Students should have studied some basic statistics before this course.
Format

Interactive lectures

How to Book

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).

Assessment

There may be an online open-book test at the end of the module; for most students, the test is not compulsory.

Moodle

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

Theme
Specialist Statistics

Events available