After the awesome short (15-min) teaser talk on SEM at the 10/22 R meet up, Jeremy will do a full-hour talk on SEM.
Let's do statistics backwards: Structural Equation Modeling in R
Structural equation modeling (SEM) is a powerful tool for testing complex hypotheses. In SEM we start with a model (represented in a path diagram) and test it on the data; rather than the more common starting with the data and developing a model. SEM requires that we do statistics backwards. But SEM allows us to think about models in different ways, and test complex hypotheses that cannot (easily) be tested using other methods. In this talk I'll attempt to explain why you should be as excited about SEM as I can be.
Jeremy Miles is a quantitative psychologist at the RAND Corporation, where he analyzes data to try to solve problems in areas of health policy; some of the time, he is a professor of quantitative methods at the Pardee-RAND Graduate School. His most recent book is 'Discovering statistics using R', written with Andy Field and Zoe Field.
- 6:15pm pizza arrives and networking
- 7:00pm talks starts promptly
Please arrive by 6:55pm the latest.
Please RSVP as places are limited.
Venue: Adconion Media Group (3301 Exposition Blvd, Santa Monica). They will kindly provide pizza and drinks (big thanks to Mikhail and AMG for that and for providing the place).