I thought I knew at least a little something about research methodology, that was, until I read this blog post from the Social Science Statistics Blog and the accompanying article by Phil Schrodt on the seven deadly sins of contemporary qualitative analysis.
I read Schrodt's article, but I can really only say I understood about 25% of it, and that might be an over estimation. It was good to read none the less because it highlighted some of the empty assumptions that I've had about data analysis. I like to keep my skeptical whits about me and this article really was helpful. I also appreciate his suggestions for keeping it simple and avoiding fancy methods unless you know they're the most appropriate.
I'm also more interested than ever in learning about Beynesian Analysis. I don't know enough about it to understand when and where it's the right way to go. Let me know if you have any cool insights about it.
Anyway, leave a comment on this post if you read the essay. I'd like to hear your favorite peices.