What is associated with higher MCAT scores?
Those of the highest levels of urban origin, income, education, and MCAT are not likely to distribute where physicians are needed.
The medical schools were divided by average MCAT scores for the 2000 - 2003 MCAT for admitted medical students. The outcomes data involved 1987 - 1999 graduates of each category by MCAT. MCAT rankings have not changed significantly over time, nor have medical schools varied in the types of students admitted, a likely reason for little change in MCAT score.
See MCAT and Physician Distribution for more details
Note for students with lower MCAT scores: None of this should ever be interpreted by you as limitation upon your potential to gain entry to medical school. It may help to know which schools have "broader" admissions however. If medicine is your dream, stay on your course. We need you now, more than ever. [email protected] for questions. See Older Premeds for support and more data.
Medicine, Education, and Social Status Birth Origins Articles MCAT Changes 1992-2002
Family Physicians Are Different More Researchers Research By the Ages
Probability of admission tables
Here are correlations with the average MCAT score of 110 US medical schools (not osteopathic, not black schools, not Puerto Rican Schools, not Duluth or University of MN impacted by Duluth, not Mercer, not MCP/Hahneman/Drexel, not DC schools. You can certainly see where the nation is going by where the MCAT and education and medical school debt is driving us. Again MCAT is only a reflection of socioeconomic status and past experiences. It is not a bad tool in that it does predict USMLE 1 well for about 75% of students, it is just a tool that is used incorrectly, especially on the 25% of students who we most need admitted, the ones who go where most needed. You can also see what students of the most urban origin and the highest socioeconomic status prefer in these correlations. For each medical school I calculated a % of the graduates of that school going into research, FM, rural practice, etc. For education variables I used Education Weekly sources. Ethnicity sources were % of White and Asian ethnicity by school for 1994, 1997, and 2000 graduates from AAMC Minorities in Medicine
Correlations of MCAT, Medical School Characteristics, Physician Distribution, and Career Choice
The MCAT average is the average of all three scores (verbal, biosciences, physical sciences) for 5 different internet sources compiled from medical school web sites from 2000-2003. Research was self designation as a medical researcher in the Masterfile. The family medicine percentage is all FP and GP graduates of a school graduating 1987-2000. The internal medicine column is the proportion of office-based IM compared to all IM graduates for a medical school. All rural docs include all choosing rural practice by zip code RUCA determination. The High School to College Graduate ratio for 1986 is a measure of state investment in breadth of education (High School Graduation) compared to depth (bachelors or more).
Characteristics of School or State Location |
MCAT Average |
Research 87t94 |
FP/GP % 87-00 |
IM office-based/ Total IM |
All Rural Docs |
Office PC in Poverty |
HS86/ College Grad |
MCAT Average |
1.000 |
0.806 |
-0.695 |
-0.606 |
-0.666 |
-0.404 |
-0.415 |
NIH Amount |
0.807 |
0.724 |
-0.502 |
-0.451 |
-0.530 |
-0.262 |
-0.255 |
Research 87t94 |
0.806 |
1.000 |
-0.615 |
-0.580 |
-0.547 |
-0.288 |
-0.289 |
Office Based PC % |
-0.737 |
-0.646 |
0.906 |
0.608 |
0.677 |
0.356 |
0.389 |
FP/GP % 87-00 |
-0.695 |
-0.615 |
1.000 |
0.599 |
0.720 |
0.245 |
0.503 |
All Rural Docs |
-0.666 |
-0.547 |
0.720 |
0.512 |
1.000 |
0.363 |
0.601 |
Orthopedics |
0.664 |
0.519 |
-0.642 |
-0.495 |
-0.490 |
-0.360 |
-0.186 |
Public school |
-0.639 |
-0.553 |
0.634 |
0.435 |
0.523 |
0.372 |
0.319 |
Instate Avg (JAMA) |
-0.609 |
-0.523 |
0.583 |
0.362 |
0.424 |
0.455 |
0.301 |
IM office-based/Total IM |
-0.606 |
-0.580 |
0.599 |
1.000 |
0.512 |
0.044 |
0.273 |
% core urban students >1mil |
0.588 |
0.455 |
-0.655 |
-0.437 |
-0.800 |
-0.412 |
-0.655 |
Rural Born Student % |
-0.572 |
-0.433 |
0.714 |
0.505 |
0.918 |
0.332 |
0.631 |
ResNFellow (GME) |
0.559 |
0.581 |
-0.386 |
-0.503 |
-0.392 |
-0.178 |
-0.247 |
Instate Born Student % |
-0.550 |
-0.469 |
0.516 |
0.347 |
0.404 |
0.344 |
0.373 |
FP Dept by 1992 |
-0.539 |
-0.496 |
0.599 |
0.436 |
0.480 |
0.199 |
0.276 |
% White Male Student |
-0.493 |
-0.484 |
0.409 |
0.278 |
0.641 |
0.355 |
0.525 |
Foreign Born Student % |
0.483 |
0.399 |
-0.638 |
-0.407 |
-0.783 |
-0.342 |
-0.594 |
Median Income state |
0.482 |
0.350 |
-0.276 |
-0.289 |
-0.578 |
-0.517 |
-0.633 |
Over 30 yrs at Grad % |
-0.478 |
-0.428 |
0.530 |
0.411 |
0.362 |
0.173 |
0.042 |
Asian student % |
0.459 |
0.382 |
-0.615 |
-0.394 |
-0.686 |
-0.256 |
-0.358 |
GPA of Med School |
0.421 |
0.345 |
-0.059 |
-0.130 |
-0.041 |
-0.095 |
0.090 |
Cardiology % |
0.419 |
0.382 |
-0.657 |
-0.555 |
-0.404 |
0.175 |
-0.208 |
NonMetro % state |
-0.419 |
-0.341 |
0.465 |
0.351 |
0.818 |
0.337 |
0.610 |
Bachelors or More state |
0.419 |
0.333 |
-0.329 |
-0.268 |
-0.507 |
-0.450 |
-0.799 |
HS86/College Grad of state |
-0.415 |
-0.289 |
0.503 |
0.273 |
0.601 |
0.229 |
1.000 |
Off PC in Poverty % |
-0.404 |
-0.288 |
0.245 |
0.044 |
0.363 |
1.000 |
0.229 |
Internal Med % |
0.402 |
0.433 |
-0.631 |
-0.390 |
-0.463 |
-0.036 |
-0.509 |
OB-Gyn % |
-0.386 |
-0.352 |
0.018 |
0.433 |
0.205 |
0.104 |
0.060 |
Age of school |
0.325 |
0.186 |
-0.357 |
-0.204 |
-0.111 |
-0.264 |
-0.164 |
Persons Per Sq Mile Med S |
0.320 |
0.288 |
-0.470 |
-0.294 |
-0.447 |
-0.201 |
-0.310 |
Rural Mission/Person Med S |
-0.291 |
-0.234 |
0.474 |
0.517 |
0.356 |
0.011 |
0.077 |
Longitude at Med S site |
0.113 |
0.204 |
-0.392 |
-0.287 |
-0.161 |
-0.040 |
-0.069 |
HS Grad 1986 % in state |
-0.029 |
-0.008 |
0.353 |
0.168 |
0.165 |
-0.434 |
0.265 |
MCAT and researcher variables are in significant agreement across all of the comparisons. If medical school admissions committees used the GPA to a higher degree than the MCAT, there was much less potential for impact on the distributional specialties. Schools that lean more heavily on GPA than MCAT will likely have better graduation of the physicians most needed.
The same factors impacting choice of family medicine also relate the same way to graduation of all rural doctors and to the proportion of medical school graduates who end up in office based general internal medicine compared to all who specify internal medicine. This was calculated with office based general IM compared to general IM totals (shown above) and office based general IM compared to all who initially took internal medicine graduate training and there was no difference in these relationships. Office-based primary care physicians in poverty areas have the same level of agreement with the exception of high school graduation rates. This has to do with the poorer states have the lowest high school graduation levels. The breadth vs depth HS to College ratio measurement moves completely to 0.229 on the positive side for office-based primary care poverty.
Basically the variables above all relate strongly to socioeconomics and densities of population, education, and income. Depth measurements complement one another, such as MCAT, % researcher, % subspecialty, % bachelor's degree graduates, % urban, and higher income levels. The correlations of family medicine and office-based IM relate with the same significance, but in the opposite direction. FP and rural physician choice connects with breadth in education and admissions. High school graduation, % older students, % instate students, % low income students or people,
FP match or % choice of family medicine is available by state, medical school, ethnicity, country of origin, county, gender, and various divisions of birth origin and all relate to the above and each other in a consistent socioeconomic level with crosstabs, tables, correlations, and multiple linear regression.
It is much more than large city, or perceived medical school quality
It is about socioeconomic status
Divisions by Quartiles/Most or Least FP Choice (n) |
Medical School Grads 2004 |
% Born Urban Inf 1 |
Foreign Born |
Born Urban Inf 3-9 |
% FP Likely |
% Age 30 and older |
MCAT 2000 Average |
Allo Priv Least FP (11) |
112.5 |
63.1% |
14.4% |
4.2% |
19.3% |
14.3% |
10.9 |
Allo Priv Next Least (11) |
141.0 |
60.9% |
14.4% |
4.7% |
21.9% |
16.2% |
10.5 |
Allo Priv Next Most (11) |
120.1 |
56.6% |
13.1% |
4.8% |
20.9% |
19.6% |
9.6 |
Allo Priv Most FP (8+3) |
115.2 |
51.9% |
15.8% |
8.7% |
30.7% |
23.2% |
9.4 |
Trad. Black (3) |
75.4 |
53–82% |
4-10 % |
7–14 % |
14-38% |
21-33 |
8 |
|
|
|
|
|
|
|
|
Allo Pub Least FP (20) |
139.1 |
56.0% |
13.1% |
5.5% |
25.3% |
17.3% |
9.8 |
Allo Pub Next Least (21) |
146.0 |
46.7% |
11.4% |
10.5% |
40.7% |
21.4% |
9.5 |
Allo Pub Next Most (20) |
127.0 |
41.7% |
9.9% |
16.4% |
47.5% |
25.6% |
9.6 |
Allo Pub Most FP (20) |
92.0 |
36.9% |
7.7% |
22.7% |
54.1% |
29.2% |
9.3 |
|
|
|
|
|
|
|
|
Osteo Least FP (9) |
161.3 |
47.5% |
8.3% |
4.4% |
22.4% |
33.6% |
8.4 |
Osteo Most FP (8) |
133.0 |
33.3% |
7.3% |
13.6% |
39.8% |
42.9% |
8.2 |
* FP Likely groups were born in urban influence codes 2 and 3, rural areas, and military bases.
All we are measuring is relationships to socioeconomic status.
can do studies by RUCA, by urban influence code 1993 1 - 9 level by county, or by metro-non metro
can do rural per cent, or older, or instate admissions or MCAT scores
since it is socioeconomic status that we are really measuring, it does not matter
The Jefferson studies clearly link SES and choice of FP, with 13% in highest and 22% in lowest. My birth origin studies provide a further link and move it from individual schools, to nationwide. I calculated a birth origin ratio per 100000 population and here are the comparisons with income of origin and percent of students who chose FP from each birth origin group from urban influence codes 1 to 9, which also mark income levels as well
This says more about the origins of the student getting in as compared to geography or quality or other measures
1992 |
1994 |
1996 |
1998 |
2000 |
2002 | 2004 | 2005 | ||
MCAT VR |
9.2 |
9.4 |
9.6 |
9.5 |
9.5 |
9.5 | 9.7 | 9.7 | |
MCAT PS |
9.2 |
9.4 |
9.8 |
9.9 |
10 |
10 | 9.9 | 10.1 | |
MCAT BS |
9.3 |
9.6 |
10 |
10.2 |
10.2 |
10.2 | 10.3 | 10.4 |
The MCAT is a standardized test and may actually be even more biased for different and diverse students because of its "speeded" nature.
The MCAT as compared to basic science performance does vary by different types of students http://www.aamc.org/students/mcat/research/bibliography/velos001.htm
Here is the 2002 data on ACT tests nationwide by income level and ethnicity.
Household Income | ACT |
Less than $18,000/year | 17.8 |
$18,000 - $24,000/year | 18.6 |
$24,000 - $30,000/year | 19.4 |
$30,000 - $36,000/year | 19.9 |
$36,000 - $42,000/year | 20.4 |
$42,000 - $50,000/year | 20.8 |
$50,000 - $60,000/year | 21.3 |
$60,000 - $80,000/year | 21.8 |
$80,000 - $100,000/year | 22.4 |
More than $100,000/year | 23.3 |
Over 51.5% of allopathic medical students in the US were from parents with incomes of over $100,000 a year for the class admitted in 2004. This increased from 23.5% of the class in 1997. AAMC Minorities in Medicine Studies
2000 MCAT scores by race/ethnicity and sex compared to ACT 2002 also
Verbal Reasoning | Physical Sciences | Biological Sciences | Writing Sample | Total | ACT in 2002 | |
Ethnicity | ||||||
African-American/Black | 6 | 6.3 | 6.3 | N | 18.6 | 16.8 |
American Indian | 7.3 | 6.9 | 7.2 | O | 21.4 | 18.6 |
Caucasian American/White | 8.3 | 8.4 | 8.6 | O | 25.3 | 21.7 |
Mexican American/Chicano | 6.9 | 7.1 | 7.3 | O | 21.3 | 18.2 |
Asian American | 7.6 | 8.9 | 8.8 | O | 25.3 | 21.6 |
Puerto Rican-Mainland | 7.7 | 8 | 8 | M | 23.7 | |
Puerto Rican-Cmnwlth. | 4.6 | 5.4 | 5.3 | K | 15.3 | |
Other Hispanic | 7.2 | 7.5 | 7.8 | O | 22.5 | |
Puerto Rican and Hispanic | 18.8 | |||||
Sex | ||||||
Female | 7.7 | 7.7 | 8 | O | 23.4 | 20.9 |
Male | 7.8 | 8.7 | 8.7 | O | 25.2 | 20.7 |
ALL TEST TAKERS | 7.8 | 8.2 | 8.3 | O | 24.3 | 20.8 |
Approximately 54,000 test-takers, 52.3% female from the American Association of Medical Colleges, Summary Data on the Combined April/August 2000 MCAT
from November 4, 2001
Jordan J. Cohen, M.D., President of the Association of American Medical Colleges (AAMC), issued the following statement, today, at the Association's 112th Annual Meeting in Washington, D.C.:
Our Compact with Tomorrow's Doctors http://www.aamc.org/newsroom/pressrel/2001/011104a.htm
Cohen on The Admissions Process
"What about the way we pick students for admission? My concern here is the imbalance that currently exists in how we convey to applicants the selection criteria we use. I'm referring, of course, to our tendency to under-emphasize, because they are harder to measure, the personal characteristics we are seeking in our applicants, and to over-emphasize the more easily measured indices of academic achievement.
"I know how tough this issue is. And please don't misunderstand me; in no way am I suggesting that native intelligence and academic prowess are anything less than essential for success in medical school, or for becoming an effective physician or scientist. What I am suggesting, however, is that our admission processes do not project to prospective applicants the degree to which we value, in addition to GPAs and MCAT scores, those other essential attributes we prize: altruism, fervor for social justice, leadership, commitment to self sacrifice, empathy for those in pain.
"That many idealistic students do make it through the process, despite the distorted signals we send them about what we are looking for, is no guarantee that sufficient numbers will continue to do so going forward. If more such intelligent and dedicated idealists were to perceive that we would give as much weight to what's in their hearts as to what's in their heads, a career in medicine would no doubt attract them strongly. As it is, I'm persuaded that many don't perceive this balance in our selection criteria, and turn away convinced that medicine is for grade-grubbing Philistines but not for them.
"To balance the strong message we send about the importance of grades and test scores with more visible evidence of our co-equal interest in humanistic attributes, let me offer six ideas for you to consider:
"1. Use MCAT scores and GPAs only as threshold measures. Rather than giving more weight to higher scores, why doesn't each school decide for itself, from data available from its previous students, what level of GPA and MCAT performance is sufficient for predicting success in clearing the high academic hurdles of medical school -- and leave it at that. We would send a powerful signal to those intelligent idealists who are currently eschewing medicine if they knew that, once having met the academic achievement threshold, they would be evaluated solely on the basis of their humanistic qualities, their penchant for serving others, their leadership abilities, and so on.
"2. Even more daring, how about beginning the screening with an assessment of personal characteristics and leave the GPAs and MCAT scores 'til later. Rather than looking first for reasons to reject an applicant -- like evidence of a lackluster start in college, or a bad semester, or a C in an organic chemistry, or a "7" on an MCAT subtest -- why not look first for reasons to accept an applicant - like evidence of deep-seated social awareness, of having triumphed over adversity, of personal sacrifice for the benefit others - and only then consider the statistical predictors of mastering our challenging curriculum. Approaching their task in this way, admission committees might well find many instances in which truly compelling personal characteristics would trump one or two isolated blemishes in the academic record.
Admissions TracksCharacter, Color, Admissions, and Physicians
"3. Look even more favorably than you do now on the more mature applicants, those who chose some other field at the end of college, but who awakened several years later to medicine as their true calling. Such students often manifest a depth of motivation that not only predicts success as future physicians, but also provides inspiration to their fellow students.
Non-traditional Students Age and Physician Specialty Admissions and Social Status
"4. Stop using the average MCAT scores and GPAs of our matriculants as if they were valid measures of the relative quality of our schools. Take a look at the devastating critique of the U.S. News & World Report's rankings of the "best" medical schools in this month's Academic Medicine and see if you don't agree with what the authors have to say. In accepting without objection the use of such misleading measures as average MCATs and GPAs, let alone in ballyhooing them in our own promotional materials, we reinforce the public perception that they are, indeed, our principal criteria for admission.
MCAT CorrelationsFor an excellent discussion of these topics plus gender and education and college impacts, go to Women, Minorities, and Persons with Disabilities in Science and Engineering at http://www.nsf.gov/sbe/srs/nsf99338/frames.htm especially chapter 2 and 3
"5. Use past experience to improve our ability to spot the truly outstanding prospects. As a general rule, it doesn't take long for a consensus to emerge among faculty and staff about who among each entering class of students are destined to be the best, most caring, most compassionate physicians. They are the ones who win the humanism awards, who tutor their classmates, who are elected class representatives, who are the pacesetters for student-initiated community service activities, and so on. Why don't we look back at those students' credentials at the time of admission and see if we can find some common characteristics that might be helpful in sharpening our ability to identify such stars among future applicants. And let's use even more of those star students as recruiters and as full-fledged members of our admission committees.
Physician Shortage Area Program Links and Info Small Colleges and Admissions Service Orientation"6. Help us devise better tools for evaluating students' personal characteristics. It's too easy to assume that the so-called soft qualities we're looking for are beyond our ability to assess any more accurately than we do with our present crude measures. I just don't believe that. But we'll never know for sure unless we try. For starters, I have directed the AAMC staff to see what we can do to develop better tools, and I urge all of you to give thought to this tough problem. Not only because we may actually succeed in improving our selection process, but also because there are surely many more dedicated and intelligent idealists out there who would recognize our efforts to seek better measures of character traits as a strong signal that we want them as colleagues.
Family Physicians Are Different
Medicine, Education, and Social Status