objobs
July 7, 2010, 3:43pm
49
<p>
karot:
Example:</p>
<p>School A has undergrad population of 100 and grad population of 10. Assume for the sake of simplicity that under and phd last one year.</p>
<p>All undergrads at school A decide to go to grad school, so 0% are “pre-professional.” But, because the grad school has a max population of 10, we get 10/100*1000=100 = Score A. The other students have to go to another school for grad school.</p>
<p>Now let’s look at school B. It looks exactly the same as School A (# under at A= # under at B and # phd at A=# phd at B) with the excpetion that people at B hate phd and just want to work/go to law/medicine/etc. </p>
<p>Because of this, 0% of undergrads at B are going to get a PHD and 100% are “pre-professional” Size of Phd program stays the same and just recruits from other undergrad colleges for Phd class. Score B = 10/100*1000=100= Score of A.</p>
<p>So two scenarios:
<p>Your score on this list tells us little to nothing about the percentage of undergrads at the school that are “pre-professional”. What affects the scores are the sizes of the under and grad programs.
</p>
<p>I am fairly certain that the study tracks whether or not undergraduate alumni/ae receive PhDs, not where they received them. But if you want to look at the (NSF) list which shows the “percentage of undergrads [that] go on to [successfully] pursue PHDs,” here you go:</p>
<p>[nsf.gov </a> - SRS Baccalaureate Origins of S&E Doctorate Recipients - US National Science Foundation (NSF)](<a href=“http://www.nsf.gov/statistics/infbrief/nsf08311/]nsf.gov ”>http://www.nsf.gov/statistics/infbrief/nsf08311/ )</p>