This is a nontechnical summary. If you want the technical details, feel free to ask.
I tried to create a model that could predict admissions outcomes using the TLS stats data for the purposes of better understanding why I was rejected. The three outcomes I designated were rejections, waitlists, and acceptances. URMs were eliminated from the analysis after I found that including a URM variable messed up the predictors for reasons that are really complicated. PLUMordinal regression gave me the following equation:
(GPA * 3.726) + (LSAT *0.280) = index
and these thresholds
Index < 60.916 = Rejection
60.916 < Index < 62.757 = Waitlist
62.757 < Index = Accept
The model works (X2 = 64.921, df = 2; p < .000), but it is much better at predicting rejections and acceptances than waitlists. If a score falls within the reject range the probability of rejection is 71.4%, the probability of a waitlist is 23.2%, and the probability of an acceptance is 5.4%. On the other side, an index score in the accept range gives you a 64% chance of acceptance, a 31% chance of a waitlist, and a 5% chance of rejection. Waitlist range scores should be considered inconclusive. This didn’t really help me answer any of my questions (since my score falls within the waitlist range), but I thought it might be helpful for others.
ITT: I try to estimate U of C’s index formula
 masochist
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 gbpackerbacker
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Re: ITT: I try to estimate U of C’s index formula
I fell within the well within the waitlist range and was accepted, FWIW.

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 Joined: Sun Oct 03, 2010 9:18 pm
Re: ITT: I try to estimate U of C’s index formula
Looks like a WL for me, assuming you're correct.
 masochist
 Posts: 247
 Joined: Tue Jun 29, 2010 3:14 pm
Re: ITT: I try to estimate U of C’s index formula
Yeah, the waitlist range isn't very predicitve. It was close to 60% WL, 20% A, and 20% R. If you wind up in the wailist range, pretty much anything can happen.
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