The AAMC is set to release the new MSAR this week. Here's a preview of what it looks like: https://aamc-orange.global.ssl.fast...93a94/new_platform_guide_for_editors_2017.pdf
Cool!The AAMC is set to release the new MSAR this week. Here's a preview of what it looks like: https://aamc-orange.global.ssl.fast...93a94/new_platform_guide_for_editors_2017.pdf
Is it that important to have old mcat scores?No old MCAT scores...damn.
Also, this looks horrific. Ugh. So much harder to quickly read than the old style.
Is it that important to have old mcat scores?
I would be extremely curious to see if the new MCAT had changed behavior at all, and the cohort whose data we are viewing was an even 50-50 split of old and new scores. For example if Harvard's new median is a 517, is that matched by a drop to a 35 median for old score carriers? Or did the cohort with old scores keep a 37 median again (519-520)?Is it that important to have old mcat scores?
It's probably a message to move on hahaA lot of us (read: me and @efle) were curious if there would be a disparity in stat ranges for old and new MCATs. The absence could mean: No, there wasn't. Or it could be a message from the AAMC, "Move on."
That info would be interesting!I would be extremely curious to see if the new MCAT had changed behavior at all, and the cohort whose data we are viewing was an even 50-50 split of old and new scores. For example if Harvard's new median is a 517, is that matched by a drop to a 35 median for old score carriers? Or did the cohort with old scores keep a 37 median again (519-520)?
To people applying in a couple months tho, no it is not useful at all.
dude same I'm very excited to have something to do at workIs it weird that finally seeing data for the new MCAT for each school is going to be the highlight of my week?
If I already have MSAR now, do I have to repurchase at full price or is there an upgrade fee or is it free for current customers?
I have no experience with the old MCAT and have only taken the new one. Therefore, when I hear people say they got a 30, I convert to 508 LOLI'm still not to the point where I can think "Oh a 508, that's good." I still have to think "Oh a 508,...(internally: that's like a 30 on the old MCAT)...that's good.". I just can't seem to grasp the new numbers yet, I keep needing to convert them in my head.
dude same I'm very excited to have something to do at work
Is there any way to bet on what the new MCAT medians will be? Bovada doesn't have it. If the line for Buffalo is 506 I'll happily take the over, I see the median likely being near 512.
(This isn't serious btw, I'm just excited too)
We all should know how a box plot works, why on Earth would they stylize it and make it so confusing?No old MCAT scores...damn.
Also, this looks horrific. Ugh. So much harder to quickly read than the old style.
quoting myself from PM with Lucca:We all should know how a box plot works, why on Earth would they stylize it and make it so confusing?
i hate it. it's like they took a box and whisker and asked "how can we make it harder to see the quartile boundaries? round them! should we have the data values float in a line beneath? nah have them alternate above and below, plus put a fat circle in the middle with the median. Should the axis be clearly marked? nah bro lets make it a very faded grey and cramp them all in close together instead of doing every other. Should we make it easy to compare apps against matrics, or apps here against the nation? nah make sure you can only view one at a time via dropdown menu"
It's you whippersnappers whose score range makes no damn senseOooh, pretty. I'm going to be relieved to stop seeing the old-fashioned scores; they are so confusing to me. Thanks for posting this, gives me something to look forward to after my mcat, lol---more pre-medical neurosis and data analysis.
However it does not appear you can access previous year any more?
There goes my plan to compare old and new MCAT medians
That's the only one I've seen drop so far I think. All the other top names still sitting ~36-37 like before, WashU still up at 38 like beforeJust looking at 10 or so schools on my list, the median MCAT scores are a bit lower than I would have expected. For example, Penn had a 38 MCAT median on the 2017 MSAR, but the median on the new MSAR converts to a 36 using @efle conversion chart.
UCLA has always been low, I think they were only at like equivalent to 510 last cycle?
Mayo had a 513, was kind of surprised by that one
Comparing accepted vs. matriculated stats is interesting. USC Keck has a accepted 515 MCAT, but 512 matriculated
I remember UCSF being a 34-35, same with UCSD, I thought UCLA was like 31-32 thoughThey were 34 on the last MSAR I believe. Thats like a 515 percentile equivalent, so a 508 is a huge drop. Pretty incredible to see a top 20 not chasing the numbers so hard.
The range is huge though. 10th-90th is 21 points wide.
Yeah, the very tip top schools tend to first filter only for fantastic grades and scores, and work from there it seems.If you look at Johns Hopkins, The medians are slightly higher than the other top schools, but you will notice there is essentially no spread at all for the 25-75th percentile. I think this may be indicative of a school that really is looking for high stat applicants above other qualities.
I kinda like the new MSAR. The new layout leaves something to be desired, but the 10-25-50-75-90 spread makes the information a lot more useful. For the top schools, the 25-75th will usually be quite a bit higher than their 10th percentile. I think this means that the 10th-25th percentile range of stats is usually occupied by people who bring something else to the table, like URM / ridiculously outstanding ECs/ military.
I think you get a better idea of what schools are looking for rather than just info about the 10th-90th.
It's way easier just to convert to the old score and do the normal LizzyM calculation@LizzyM now that the new MSAR is out, could you take a look and see whether a new LizzyM score formula is needed? One suggested formula for new MCAT is:
score = 10 * (GPA + 2) + (MCAT - 500)
We'll get something like this:
Old 76 (i.e. 3.8/38 or 3.9/37) is new 80. This is generally the number to shoot for for top schools.
Old 73 (i.e. 3.8/35 or 3.9/34) is new 75. This is generally a good number for mid tiers while possibly being competitive for some top tiers.
Old 70 (i.e. 3.7/33 or 3.9/31) is new 70. This is generally where a "competitive" applicant for med school falls around.
Old 67 (i.e. 3.6/31 or 3.7/30) is new 65. This is around the accepted applicant median.
Old 65 (i.e. 3.6/29 or 3.7/28) is new 60. This is highly competitive for DOs and marginal for MD.
What are your thoughts?
It's way easier just to convert to the old score and do the normal LizzyM calculation
PSA: I realized a way to interpret the new "box plots" for a better Gestalt
Since all of the markers (10th, 25th, median, 75th, 90th) are all firm, by looking at these distributions, you can immediately get a sense where scores are concentrated. Let's take this example:
View attachment 218227
Let's compare the 25th-50th and 50th-75th. Both of these regions, by definition, have the same number of students. The 515-518 being smaller indicates there is a greater concentration of students there. By contrast, there same number of students are distributed over the 518-522 range.
Compare that plot to this one:
View attachment 218228
As you can see, a ton of students are concentrated in the 515-517 range. The same number are distributed over the broader 517-520 box. Fewer are distributed very broadly over the 510-515 range.
Tl;dr: Thin sections of the box plots indicate where many students are concentrated. Long stretches indicates there are students distributed broadly and are not the best regions to be in.
That's a good way of looking at it.The medians are slightly higher than the other top schools, but you will notice there is essentially no spread at all for the 25-75th percentile. I think this may be indicative of a school that really is looking for high stat applicants above other qualities.