MFSAS Workshop: Understanding Relationships
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Event Description
- Full Description:
- Purpose
To provide participants with an understanding of the different statistical methods available for understanding relationships between variables. To provide guidelines for when different methods of analysis are applicable.
Learning objectives
On completing this module, participants will have an understanding of:
1. how relationships between variables are assessed
2. correlation, basic regression and multiple regression
3. the difference between correlation and causality
4. when it is appropriate to use each test
5. how to interpret results from these tests
Who should attend, and module pre-requisites
This module is designed for people who need to have an understanding of the statistical tests required to understand relationships between variables in a dataset. This module will be beneficial for those who need to read and understand research and for those who need to conduct their own analyses.
Participants should have a good understanding of quantitative data and a basic understanding of the concept of statistical inference.
Topics covered
Session 1
a) Relationships between what?
b) Strength of association – Correlation
c) Correlation versus Causality
Session 2
d) Basic regression
e) Multiple regression
f) Different forms of regression for different forms of data
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