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[Phys-l] failure is always an option



On 05/05/2008 06:14 AM, Michael Edmiston wrote:
..... The top 5% of high-school
students are either used to working or will rise to the occasion. They know
if they don't, there is a long line of students waiting to take their
places.

This got me thinking along a tangent. I wondered which colleges had the
highest drop-out rates. I wondered how high the flunk-out rate was at
the "hard" schools compared to the more "nurturing" schools. I had some
hypotheses I wanted to check. (Some of my guesses were qualitatively
correct, but most were wildly wrong. Data that conflicts with my guesses
always piques my interest.)

It's easy to collect a bunch of numbers from
http://www.ucan-network.org/

Also: you can get lots of gory details from a form called "Common Data Set"
that most schools fill out. Many of them post it on their web site.
I used queries of the form
http://www.google.com/search?q="Report+for+the+cohort+of+full-time+first-time+bachelor's"+site:haverford.edu
Probably cleverer queries are possible, but I didn't need to pursue it.

The first number I looked at is "4-year persistence". This number has as
its denominator the number of students who enrolled in a particular year,
seeking a four-year degree. The numerator is the subset of those
students who actually completed the program in four years (or less). This
is a little hard to interpret, because AFAICT it treats transferring-out
the same as dropping-out ... but it is what it is. I'm not sure what it
means, but presumably it means "something".

I collected numbers for:
Arizona State
Bates
Caltech
Cornell
Harvard
Haverford
MIT
Monmouth
Ripon
Rochester
Stanford
UC Santa Cruz
UMASS (Amherst)
University of North Carolina, Charlotte
Wellesley

I tried to look at schools with a "party school" reputation or not,
state-run or not, with lots of graduate research or not, highly selective
or not, large size or not, specialized in science+engineering or not.

I emphasize that I don't really know what these numbers /mean/ in any
deep sense. And by some accounts, the people who collect such numbers
don't always know what they mean, either. An overview of the situation
can be found here:
http://www.compact.org/advancedtoolkit/pdf/framing_compact.pdf

OTOH as the saying goes, imperfect data is better than no data. And
as a general rule, this is what sets research apart from the rest of
science and engineering: research involves collecting lots of data
/before/ anybody know what it means.

On the third hand, a couple of years ago I looked at some _high school_
graduation data, and decided it had been cooked to the point of being
worse than useless. I hope the college data is more honest.

So, before you look at the numbers, would you like to guess?
-- What are typical 4-year persistence numbers?
-- What is the overall range, from lowest to highest?
-- Which schools are highest?
-- Which are lowest?
-- Where does your school fit in?









A few collected numbers:
http://www.av8n.com/physics/cds-combined.html