So if regression doesn't prove causation, what does?
- Administrivia:
- Extra office hours by Nuria: 10 - 1 May 26 and 27th.
- Extra office hours by Michael: 10 - 12 on Thursday May 20th.
Observational studies vs controled experiments
- Observational studies
- An observation study is one where you watch the world around you
- Examples: Astrophysics, traditional evolution, economics, sociology
- controled Experiments (using randomization)
- Manipulate the world and see the result
- Examples: chemistry, psychology, microbiology, modern genetic
- Controled experiments are the domain of ANOVA
- Example: how long does it take to find something on a web page?
- number of items
- distractions
- layout
- colors (yellow on white)
- etc
- If you just watch people and measure the time till they click on something
- you don't know if they were actually searching
- maybe they knew where they were going
- reading a book!
- Controlled experiment: Give subjects a target to find on the page
- Can measure success
- can measure time until the find it
- can measure subjective experience
- Changing X variables
- build many different pages and see which works best (large one-way ANOVA)
- Build pages that change 2 different attributes (two-way ANOVA)
- possible control for subject effect (three-way! ANOVA)
- Generalizes a simple controled experiment
- If you find a ROW effect or a COL effect you know that
assignemtn to ROW/COL is random and hence uncorrelated
with any possible lurking variable.
- So many row and many column effects can be tested at the
same time. This can save lots of time!
- Example: ANOVA project (sample 2 way ANOVA writeup)
Last modified: Tue Apr 18 13:07:21 2000