Gary's posts about teaching and breakfast cereal reminded me of a teaching experience I had once while teaching in the Peace Corps in Mozambique -- this time regarding the scientific method and hypothesis testing. It might be nothing particularly exciting to those of you who habitually teach pre-college level science, but I was surprised at how well it worked. Read more about Another classroom demo: the scientific method
Propensity Score Matching (PSM) has become an increasingly popular method to estimate treatment effects in observational studies. Most papers that use PSM also provide standard errors for their treatment effect estimates. I always wonder where these standard errors actually come from. To my knowledge there still exists no method to calculate valid standard errors for PSM. What do you all think about this topic? Read more about Valid Standard Errors for Propensity Score Matching, Anyone?
Today at noon, the Applied Statistics Workshop will present a talk by Jeff Gill of the Department of Political Science at the University of California at Davis. Professor Gill received his Ph.D from American University and served on the faculty at Cal Poly and the University of Florida before moving to Davis in 2004. His research focuses on the application of Bayesian methods and statistical computing to substantive questions in political science. Read more about Applied Statistics - Jeff Gill
I’m a teaching fellow for a course in missing data this semester, and one topic keeps coming up peripherally in the course, even though we haven’t tackled it head-on just yet. That topic is incompatible conditional distributions. And here’s my question for blog readers: how much does it bother you? Read more about Incompatibility: Are You Worried?
"I'm doing a survey. I've never done this before, taken any classes on survey research, or read any books on the subject, and a friend suggested that I get some advice. Can you help me? I'm going in the field next week."