Anonymous wrote:3:26 again. Now I remember. Somebody at Princeton has done a study along these lines:
http://www.princeton.edu/~tje/files/Opportunity%20Cost%20of%20Admission%20Preferences%20Espenshade%20Chung%20June%202005.pdf. This study adjusted for legacy, race and athletic recruitment. I don't have time to reread the study, so I'm going to have to rely on the handy Wikipedia summary of this same study (by all means double-check this against the actual study). So, according to Wikipedia's summary of the study, the following hooks are equivalent to adding/subtracting SAT points (on the old 1600-point scale):
Blacks: +230
Hispanics: +185
Asians: -50
Recruited athletes: +200
Legacies (children of alumni): +160
Another way to think about the legacy effect is just a pretty straight-forward calculation. If Harvard takes 30% of legacy applicants, and 6% of regular applicants, then a kid who is a legacy has a 5x advantage over a kid who is not a legacy.
In any case, I'm not sure you could readily get the dataset you want without cooperation from schools or colleges. And for that, it would probably help to be a tenured professor at a place like Princeton. You would need many years of data in order to eliminate cohort effects. For example, suppose this year STA's graduating class has 30 legacies at whatever "selective college" criteria you decide on, and Sidwell's graduating class has only 5--but maybe next year this is completely reversed. Plus, as I wrote earlier, the impact of legacy would be clearer if you have a dataset that lets you adjust for race and athletic recruits.
13:26 one more time. I see my link doesn't work. Google "Espenshade Chung Legacy 2005" and you should be able to find it. It's "The Opportunity Cost of Admissions Preferences at Elite Universities."
Anyway, thinking about this some more, it looks like you're trying to prove one or both of two things:
(1) legacy preferences don't explain *all* the admits from elite privates to highly selective universities. Maybe because there are so many qualified kids who get in on their own merits. So if STA sends 4 kids to Harvard, maybe 1-2 are legacies and the other 2-3 got in because of stellar academics or maybe athletic or other superb talents.
(2) legacy preferences somehow operate differently at elite private schools than at non-elite privates or publics. Maybe because, if you have a group of kids with SATs=1500, a 160-point SAT preference isn't going to be as useful because the SATs top out at 1600 (the Espenshade study used the old SAT=1600 baseline).
I think you'd also need another variable to understand if legacy status helps. You'd need too know the # of applicants to elite universities. Then you can tell if legacy helped actual applicants. As opposed to being distracted by the fact that, for whatever reason, few kids from private school X actually applied to highly selective universities in a given year. In other words, and depending on how you model this, you would look at a group of otherwise qualified NMSSFs, observe the ones who have legacy status, and conclude that legacy status doesn't help when in fact maybe the family couldn't afford an Ivy and didn't even apply. Or maybe the kids at one school soured on Princeton dining clubs (yes, this actually happened in DD's class) and few kids applied this year. So you need to know who applied, whether or not they had legacy status.