Stephen
Kershnar
The Sabermetrics of University Admissions
Dunkirk-Fredonia Observer
February
5, 2018
Many college applicants are awaiting
decisions. They went through the process of getting recommendations, taking standardized
tests, writing essays, doing volunteer work, filling out applications, being
interviewed, and so on. The sloppy way in which student are admitted for these
schools is at odds with the use of statistics elsewhere.
Consider
the use of statistics in Major League Baseball
(sabermetrics). This is standard operating procedure in how baseball teams
select players, decide what to pay them, and so on. The same is true
for the National Football League. The New England Patriots and Philadelphia
Eagles, for example, use statistical methods in deciding whom to draft or trade
and how much to pay players. In addition, they use statistics in deciding which
plays to run. Ditto for NBA teams.
The same is not done for medical school
admissions, at least not to the same degree. According to the Association of American
Medical Colleges, medical school admissions committees holistically evaluate applicants.
Holistic evaluation considers applicants as individuals. It involves looking at
applicants’ diversity, life experiences,
and personality in part through essays and interviews as well as looking at
more traditional academic indicators such as grade point average (GPA) and
standardized test score.
Committees
usually consider applicants’ charitable work, performance in unstructured
interviews, physician shadowing, race and ethnicity, recommendations, and undergraduate
major. The different factors are then matched to the admission committee’s view
of its community, school, and medicine in general.
These
non-academic factors (consider, for example, physician shadowing) have not been
validated.
They either don’t predict performance or are not known to predict it. In
addition, they water down consideration of factors that do predict performance
and, in fact, do so reasonably well.
A
number of studies have found that the combination of medical college admissions test (MCAT)
and undergraduate grade point average (GPA) is the best predictor of success in
medical school. MCAT scores also correlate with medical board scores. The way
to choose applicants who will be the best doctors is to rely on these factors. This
is particularly true if these factors are combined with a personality test,
such as one that looks for statistically validated personality features such as
grit or conscientiousness.
The MCAT’s predictive
power is similar to that of other standardized tests. Test scores predict undergraduate
and graduate student performance reasonably well. They also predict job
performance at a range of jobs. Even when restricted to gifted students, the
SAT still predicts who will perform better. Standardized test scores even predict who will
be a better professor.
The predictive power
of standardized tests is unsurprising. Standardized test scores (such as the SAT)
correlate with IQ and IQ is a reasonably strong predictor of job performance. IQ predicts job performance better than do other measures such as interests,
personality, reference checks, and interview performance. The more complex the
job, the better it predicts performance.
Medical schools should only consider standardized
test score, GPA, and, perhaps, a couple of other validated factors such as
personality-test score and structured-interview score. The same is true for
universities admitting undergraduates, especially elite universities.
A
defense of the holistic admissions system for medical school is that it
predicts which physicians have better bedside manners, care more, or are more
likely to serve poor or rural people. One problem with this defense is that there is no reason to think that admissions
committees can outperform validated tests for desired personality features. If
personality features are important (consider, for example, emotional
intelligence), they should be tested for in the best available way.
A second problem is
the lack of evidence that committees can predict these features. For example, I
can’t find any evidence that admissions staffers can predict bedside manner from
a half-hour interview. A third problem is that an argument is needed as to why
these factors are more important than ability. Physician shortage and medical
error are costly. Medical error is one of the leading causes of death. Choosing
a student whose demographics or numbers suggest she will work fewer hours or will
be a less capable physician than her replacement is similar to replacing a
second-round draft pick in the NFL with a sixth-round pick. It is unclear why a
gain in bedside manner or caring is more important than greater ability.
A
second argument for holistic admissions is that diversity is important and
holism is a better way to achieve diversity than a purely statistical system. A
problem with this objection is that if diversity is worth doing, then it is worth doing with
formal weighting. By analogy, if a NFL team is required to hire Jewish players,
it would make sense for the team to use the same statistics-based ranking that
it uses to rank other players. This way a team might have to substitute a third-round
draft pick for a first-round pick, but avoids substituting a seventh-round
player for a first round pick.
In addition, if
diversity-related cost (less merit per doctor and fewer doctors) outweighs the
diversity-related benefit (for example, role models and stereotype
elimination), then it fails a cost-benefit analysis. We have a general idea how
markets view diversity. Competitive markets do not value it much if at all. Consider,
for example, Hollywood, MLB, NBA, and NFL. In general, markets are better than
other methods for weighing costs and benefits. The cost of diversity in medical
school is worth considering. It would be helpful to know, for example, how many
additional deaths and injuries from physician error will come about for a 1%
increase in medical-class diversity and whether the tradeoff is worthwhile.
The case for using a
statistics-based admissions system for undergraduate admissions is similar to
that for medical school. University admissions should be simple (standardized
test score, GPA, and, perhaps, a few other validated factors) and done by a computer.
At the very least, it should be done in a way similar to what is done in
professional sports.
