A couple of weeks ago I got in a friendly back-and-forth on Twitter with my friend and colleague Daniel Kreiss. Daniel was annoyed by this article, which purports to reveal why Mitt Romney chose Paul Ryan to be his running mate by deploying median-voter theory. Daniel’s frustration was this:
Here’s the record of our conversation. More thoughts below the break.
Continue reading “what does ‘why’ mean?”
As I have admitted before, I am a terrible electronic file-keeper. If I was to count up the minutes I have wasted in the last 15 years searching for files that should have been easy to find or typing and retyping Stata code that would have (and should have) been a simple do-file or doing web searches for things that I read that I thought I wanted to include in lectures or powerpoints or articles but couldn’t place, I fear I would discover many months of my life wasted as a result of my organizational ineptitude.
For a long while, these bad habits only affected me (and the occasional collaborator). It was my wasted time and effort. Now, though, expectations are changing and this type of disorganization can make or break a career. I think about my dissertation data and related files, strewn about floppy disks and disparate folders, and I feel both shame and fear. Continue reading “ask a scatterbrain: managing workflow.”
A not-very-important, yet instructive, series of events on Friday offers a cautionary tale about the allure of big data and the fashionable mistrust of local knowledge.
Continue reading “big data hubris”
Dylan Riley’s Contemporary Sociology review (paywall, sorry) of Biernacki’s Reinventing Evidence is out, and an odd review it is. H/T to Dan for noting it and sending it along. The essence of the review: Biernacki is right even though his evidence and argument are wrong. This controversy, along with a nearly diametrically opposed one on topic modeling (continued here) suggest to me that cultural sociology desperately needs a theory of language if we’re going to keep using texts as windows into culture (which, of course, we are). Topic modeling’s approach to language is intentionally atheoretical; Biernacki’s is disingenuously so.
Continue reading “coding, language, biernacki redux”
I apparently attended the same session at the ASA conference as Scott Jaschik yesterday, one on Gender and Work in the Academy. He must have been the guy with press badge who couldn’t wait to fact-check his notes during the Q&A.
The first presenter, Kate Weisshaar from Stanford University, started the session off with a bang with her presentation looking at the glass ceiling in academia, asking whether it was productivity that explained women’s under-representation among the ranks of the tenured (or attrition to lower-ranked programs or out of academia all together). A summary of her findings – and a bit of detail about the session and the session organizer’s response to her presentation – appeared in Inside Higher Ed today. Continue reading “productivity, sexism, or a less sexy explanation.”
(N=100 on the left, N=24 on the right, one data point per person, observational study)
Andrew Gelman and I exchanged e-mails awhile back after I made his lexicon for a second time. That prompted me to check out his article in Slate about a study published in Psychological Science finding women were more likely to wear red/pink when at “high conception risk,” and then I read the original article.
I don’t want to get into Gelman’s critique, although notably it included whether the authors were correct to measure “high conception risk” as 6-14 days after a woman starts menstruating (see Gelman’s response to authors response about this). And I’m not here to offer an additional critique of my own.
I’m just looking at the graph and marveling at the reported effect size, and inviting you to do the same. Of the women wearing red in this study, 3 out 4 were at high conception risk. Of the women not wearing red, only 2 out of 5 were.*
UPDATE: Self-indulgent even by blog standards, but since I could see using this example again somewhere and it took some effort to reconstruct, I’m going to paste in the cross-tab here: Continue reading “a study in scarlet”
Like much of the sociology blogosphere, I’ve been following the debate over the recent Facebook emotion study pretty closely. (For a quick introduction to the controversy, check out Beth Berman’s post over at Orgtheory.) While I agree that the study is an important marker of what’s coming (and what’s already here), and thus worth our time to debate, I think the overall discussion could be improved by refocusing the debate in two major ways.
Continue reading “two problems with the facebook study debate”