<p>ChemFreak, another thing you can think about is what kind of curriculum you think you’d like. Some of my schools had more traditional curricula–lots of lectures, quizzes, tests, etc. The ones I ended up liking the best had more unique curricula–problems based approaches, more predictable schedules, fewer lectures, etc. Do you typically like large, anonymous lecture classes more, or do you like working in groups? Do you want a larger student body, or do you prefer a small environment? Are you at all interested in a dual degree? Do you want to continue doing research? If those last two things interest you, you might want to explore some dual degree programs or schools with flexible curricula. Overall, those were the biggest differences between programs that I saw. In the end, it seems like most of them are more similar to each other than they are different.</p>
<p>Dwalker, I think colleges was using enrollment data to get a more accurate picture of the school’s composition, like you said. I personally think enrollment data is better than accepted data because it isn’t as skewed as acceptance data could be. Take, for example, a kid like ChemFreak who has a 38 on the MCAT. </p>
<p>If he applies to 17 schools and is accepted to, say, 5 of them, then each of those 5 schools can include his high MCAT score in their published average MCAT score, even though he only gets to go to one of those schools. If you look at the enrollment data, you’re only looking at data for the students who actually chose that school–and your numbers aren’t skewed by all the students who don’t choose that school.</p>
<p>It’s likely that the GPA you’ve found (for accepted students) is higher than the GPA colleges found (for enrolled students) because the accepted students’ average GPA includes the high GPAs of students who chose other schools. I think you’ll get a more accurate view of the school by looking at the students who actually go there, which is why I typically advise using enrollment data.</p>
<p>I agree with you that data for accepted students is useful. I personally think it’s most useful for determining acceptance percentages and the likelihood of being accepted after interviewing somewhere. In this instance, if you used enrollment data, you’d likely make the picture look worse than it really is. For example, my school (a state school) typically interviews about 700 students, accepts around 150 students, and eventually enrolls about 100. Even though it’s just a few percentage points, calculating the odds of getting one of those 150 spots are better than getting one of the 100 spots.</p>
<p>I personally think the most accurate way to wade through all of this data is to use enrollment data for student statistics (GPA, MCAT, etc) and to use acceptance data for statistics like interviews and acceptances. Last year, this information was most easily accessed via USNews. I don’t know how the new MSAR works.</p>