- 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 research question
- Reducing variability: How blocking and stratification 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 of interest?
- We will use free online tools and the software packages, Excel and G*Power
Duration: 9.00am to 5.00pm
Location: UNSW Business School (E12), Level 1, Room 115, UNSW Kensington Campus
Requirement: You will need to bring your own laptop to the workshop.
Fee
UNSW students: $125
UNSW staff: $250
External Student: $450
External: $600
Course fee includes morning tea and lunch
