Learning objectives
- Understand the maximum likelihood criterion for coefficients of Yes/No models
- Compare 6 types of analysis
Before class
- Work on survey project survey, When you have collected data, you will have to clean it. You can do this “by hand”. Or, if you are geeky, you can do some of the work automatically following these instructions: Processing Survey Data and the template itself: cut and paste from here . Then submit a link to Moodle.
- Submit to Moodle a link for your cleaned and summarized data
- Do assignment Thirty
- Post to Piazza
In class
- Maximum likelihood for Yes/No (logistic) models
- 6 types of analysis: Descriptive, Exploratory, Inferential, Predictive, Causal, Mechanistic
- Quiz 8 (Yes/No variables)
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