elterrible78 wrote:MoMettaMonk wrote:
As someone who has no idea what these numbers mean, a brief explanation would be greatly appreciated.
Heh, no problem!
There are two different factors here: earlier application submission (Early) and binding-early decision application (ED) - you probably got that, though. I do want to point out that the "early" application means an earlier month, not a month early. So we're broadly comparing October v. November applicants, for example, no matter when in the month they applied. That needs to be clarified.
The coefficient for each variable is that substantive effect. In my analysis, the dependent variable is either 1 (applicant was admitted) or 0 (applicant was rejected). The coefficient shows you the "effect" of an independent variable (here, either "early" or "ed").
The coefficient for early = the % increase in your likelihood of being admitted for each 1-point increase in the value of the dependent variable (for "early", a one-point increase is equal to an earlier month the application was sent...September is a-point increase over October).
The coefficient for ED is the same, only here the independent variable is also binary, so it's either a 0 or a 1. In other words, the ED coefficient shows you the % increase in your likelihood of being admitted if you apply ED, period.
The P-values for each is basically the chance that the result is just...well, by chance, and not because of any actual causal effect. The lower the P-value, the higher the probability that there is actually something going on there rather than just random chance. In statistics, there are different "levels of confidence" that researchers use, but the basic cutoff that is used is .10 (beyond that, nobody really is comfortable saying that this is a statistically significant result). Some studies use .05, and those who want to be really strict use .01.
So, in this example, let's take Chicago: Applicants are 126.5% more likely to be admitted for each earlier month they apply, and there is a 0.000% likelihood that this is just random chance rather than an actual effect. Applicants are also 536% more likely to be admitted applying ED vs. regular decision, and there is a 2% chance that this result is just random chance, rather than an actual effect.
Again, I want to throw in that this is all controlling for LSAT, GPA, URM status, nontraditional status, and gender. In other words, don't take your 158 & 2.95 combo and try to convince yourself that if you apply ED, you're 5 times more likely to be admitted than a 175 / 3.8 regular-decision applicant.
Hope that helped![/quote]
edit: scooped by a much more succinct cotiger.