Research questions often require the use of combinations of multivariate data analysis techniques. Learn about advanced multivariate analysis applications.
This module is intended for all scientific staff who collect large datasets and who wish to graphically describe them using multivariate techniques.
Participants must have attended the following training modules:
- Principal Component Analysis
- Factor Analysis
- Discriminant Analysis and its Applications
- Correspondence Analysis and its Applications
- Cluster Analysis and its Applications
- or have a working knowledge of these multivariate techniques
Upon completion of this module, participants will be able :
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- To understand the how mapping techniques work and their use
- To prepare the into the required layout for the analysis
- To read and interpret numeric and graphical software output
- To report the results & communicate findings
Recommended Duration: 1 day(s)
Course Materials:
TBD
Case Studies:
N/A