Facilities
21 June, 2018
Overview
- Research questions: How to ask well-defined research questions
- Populations: How to infer properties of populations from samples
- Manipulative experiments: Sampling design to infer causal relationships
- Randomisation: How to collect independent samples for valid inference
- Control: Importance of comparing to a control group, properties of good controls
- Sample size: Determining how much data to collect to answer the question
- Reducing variability: How blocking and statification can reduce variability and improve power
- Pilot study: How pilot studies can save time and money
Practical Component
- How to randomise – Random allocation of subjects to treatments and random sampling in space
- Simple power analysis – How much data do we need to answer the question if interest
- We will use free online tools, Excel and G*Power
Morning tea, lunch and afternoon tea are included in the workshop fee.
Participants will need to bring their own laptop with Excel (or equivalent) and G*Power to the workshop.
