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Showing posts from December, 2018

Medical School Admissions Data

This is pretty interesting, I think, mostly for the patterns you don't see. This is data on medical school admission in the US; some of it is compiled for a single year, and some for two years (which is OK because this data appears to be pretty stable over time.) Tab 1 is not interactive, but does show applications, admits, and admit data on grids defined by GPA and MCAT scores.  Darker colors show higher numbers (that is, more counts, or higher admit rates.)  While we cannot get a sense of all takers like we do with other standardized tests, this does perhaps show some strong correlation between college GPA and MCAT scores (of course, another explanation may be that students self-select out, which then makes me wonder about that one student with less than a 2.0 GPA and less than a 486 Total MCAT score who applied, was admitted, and then enrolled. The second and third tabs show applicants by undergraduate major, and ethnicity, respectively.  Choose a value at upper ...

2017 Admissions Data: First Look

IPEDS just released Fall, 2017 Admissions data, and I downloaded it and took a quick look at it. If you've been here before, most of this should be self-explanatory. Three tabs, here: The first is to take a look at a single institution.  Use the control at top to select the college or university you're looking for. (Hint, type a few letters of the name to make scrolling quicker). The second tab allows you to compare ten (you can do more, but it gets messy).  I started with the ten most people want to see, but you can delete them by scrolling to their check in the drop down and deleting them, and clicking apply.  Add institutions by checking the box by their name. The final shows the relationships between test scores and Pell, which I've done before, but I never get tired of. Choose SAT or ACT calculated means for the x-axis, then limit by region and/or control if you so desire. Notes: 1) Some of the admissions data for 2017 is tentative, so anomalies are probabl...