<p>I think there's some confusion here. There's a difference between recruitment *and *admissions. I hadn't read the article, but based on some of the previous posts, I assumed the article was referring to the admissions process. But now that I've read the article, I see it's talking about both. From article:</p>
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That score helps Mr. Steen and his staff make crucial marketing decisions. Potential applicants with the highest scores receive glossy, full-color brochures. Those who seem less interested may get only an e-mail message or a black-and-white postcard. With limited marketing dollars, the object is to keep the interest of those students who already have Baylor on their radar screens.
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<p>Makes sense to me... I agree with you hoedown. I initially thought we were talking about after an applicant has submitted his/her application (which I have). In any case, I hadn't contacted/called/emailed any college before applying (with the exception of talking to reps at college fairs). And the colleges that sent me mail after mail (a couple of tech institutes, for whatever reason, sent me at least 5 letters/brochures a piece) I didn't respond to. I've got a pile of college brochures and recruitment letters from a lot of schools because I checked the box to receive info from colleges on my PSAT and SAT. Yet I didn't apply to any of those schools.</p>
<p>But to use this data as a factor in whether to admit an applicant seems absolutely ridiculous to me. Hence the depressing part. From the article (abridged):</p>
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Mr. Crockett says it is unethical for a college to use the data on phone calls, e-mail messages, and campus visits to make admissions decisions. Some students may not know that such information is collected, and others may not have the wherewithal to make campus visits, for example.</p>
<p>At Union College, Mr. Lundquist, the director of admissions, says he does just that. After a human being has read each application and debated its relative merit with the admissions committee, the predictive model's final calculations of such factors as who will accept an offer, or how much an applicant will contribute to tuition revenue, may determine whether the college accepts or rejects a particular student.</p>
<p>In recent years, Mr. Lundquist has had to make some difficult decisions. He has, for instance, told his application readers to pull out names of financially needy students that they had planned to accept. Why? The statistical model had predicted that Union's net tuition revenue would be lower than expected given the students he had chosen to admit.</p>
<p>Although no admissions official interviewed for this article would admit to using statistical models to make admissions decisions, one who asked not to be identified said he was fired twice for refusing to employ such criteria. The official, who has worked for two highly selective colleges, is now employed at a less competitive one.
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<p>So I can be accepted based on merit, but not admitted because I don't match a silly statistical model?! That's messed up. But if it's a game that needs to be played... sigh. Is it too late to make phone calls for this year's application cycle? :S</p>