The basic argument of Systemic Analysis is simple: if there is a very large disparity at a school between the entering credentials of the “median” student and the credentials of students receiving large preferences, then the credentials gap will hurt those the preferences are intended to help. A large number of those receiving large preferences will struggle academically, receive low grades, and actually learn less in some important sense than they would have at another school where their credentials were closer to the school median. The low grades will hurt their graduation rates, bar passage rates, and prospects in the job market. This is what I call the “mismatch effect.”
My paper tested this idea by comparing the outcomes of whites (who generally receive small or no admissions preferences from law schools) with blacks (who generally receive large, race-based preferences) to compare the outcomes of students who start with similar credentials. My results are robust and, as I’ll discuss in coming days, have withstood criticism pretty well. But I and everyone else agree that it would be preferable to compare blacks with other blacks. In other words, the ideal control group for examining blacks who receive large racial preferences would be a group of blacks who received smaller preferences, or no preferences at all.
As I discuss in my Stanford “Reply to Critics”, such a comparison group not only exists – we now even have data on their outcomes. After Systemic Analysis had gone to press, Ian Ayres and Richard Brooks at Yale pointed out that the Law School Admissions Council, in one of the surveys administered to students in its Bar Passage Study (a major source for my paper), had asked the students in detail about how they applied to, and selected, the law school they attended. About ten percent of the 1800-odd blacks in their study reported that they had chosen to pass up their “first-choice” school even though they had been admitted to that school. Most of these students apparently went to a lower-choice school because of financial aid offers or for geographic reasons. The data suggests that these black “second-choice” students had credentials substantially closer to those of their classmates. Compared to other blacks, these blacks closed nearly half the credentials gap.
These “second-choice” students are not a perfect control group, of course – no one was randomly assigned to attend schools offering different levels of racial preference – but it is about as good a chance to test the mismatch theory as we are likely to have for some time. If the theory is right, then the second-choice students should have better outcomes: higher graduation rates and more success on the bar. In the table below, I make predictions about how the blacks going to their second-choice schools should perform, based on simple linear assumptions (if blacks going to second-choice schools close one-third of the credentials gap with their classmates, they should close a proportionate amount of the outcomes gap, once one controls for index differences).
If the theory is wrong, in contrast, then of course the blacks going to second-choice schools should have about the same outcomes as blacks who took full advantage of the preferences they were offered. In the data presented below, we’d expect the blacks going to second-choice schools to do slightly better, since they somewhat better index scores than the average black law student (but this difference alone would only close about one-eighth of the gap in outcomes).
The actual outcomes look like this:
Outcome |
White Success Rate |
Success Rate for Blacks Other Than Those Going to Second-choice school |
My prediction of success rates for blacks going to second-choice school |
Actual Success Rate for blacks going to second-choice school |
Graduate from Law School |
92.2% |
81.1% |
86.3% |
89.9% |
Pass Bar on First Attempt |
92.1% |
59.6% |
74.8% |
80.3% |
Pass Bar Eventually |
96.8% |
77.1% |
87.6% |
86.1% |
Proportion of Original Cohort Becoming Lawyers |
83.3% |
57.0% |
69.3% |
69.0% |
These are pretty remarkable results. The “mismatch” predictions are either right on target or, in some cases, too low. The differences in success rates between black law students generally and those going to their second-choice schools are huge. As with everyone else, the black second-choice students’ outcomes depend heavily on their grades. But these blacks are substantially less mismatched than other blacks, and they get substantially higher grades (they average about ten percentile points higher in their classes – another outcome exactly in line with predictions).
Many critics of Systemic Analysis, when they come to the question of why black law students have such low graduation and bar passage rates, either offer no explanation or rather wearily suggest a “something about race” problem. These data offer a very clear example of how well blacks can perform.
There are two sorts of objections one might raise about this data. First, are the samples involved large enough to produce statistically significant, reliable results, or could these results somehow be a fluke? And second, is there some way that the blacks going to second-choice schools are systematically different (other than their slightly higher credentials) from other black law students? I think the answers are (a) the results are very reliable and (b) there are no alternative explanations for these results. But these require slightly longer explanations, and I’ll elaborate in my next post.
All Related Posts (on one page) | Some Related Posts:
- Responding to Critics (3): Selection-Bias Blues
- Responding to Critics (2): “Second-choice” students
- Responding to Critics (1): A New Test of the Mismatch Theory:
- Systemic Analysis of Affirmative Action in American Law Schools: Responding to the Critics...
- Affirmative Action in Law Schools, Pt.1
- Affirmative Action in Law Schools:
- Rick Sander:
"I don't care what the numbers say, this disparity is due to historic and ongoing racism."
I love that response. No matter how blue the sky looks -- it is actually gray.
In all seriousness, Donald's point is a good one and if all second choice students succeeded at substantially rates wouldn't that confirm what conservatives already know? People are just "people" and not all that different.
Great and brave work Mr. Sander.
If your theory predicts the performance of legacy students too it would pretty much knock down the "historic and ongoing racism" argument.
Yours,
Wince
Do you check for Simpson's Paradox?
This is a sneaky statistical problem that can really warp grouped data when there may be hidden or lurking variables.
Here is a couple websites that give examples of Simpson's Paradox:
simpson_paradox_1
simpson_paradox_2
It has a racial disparity. It lacks any scientific validity in the construction of the test, in its reliability, in its correlation with real world quality of lawyering, or any consumer protection. It refuses to reveal any of its data on test construction. It refuses to reveal data on age discrimination, and ethnic discrimination.
It violates Title VII of the 1964 Civil Rights Act. It should be banned. Damages are due those who failed it due to race disparity.
Why is the self-dealing lawyer not subject to these sanctions, like everyone else?
Answer: The criminal cult enterprise is in charge of the 3 branches of government, has dealt itself absolute immunity, and does as it pleases with impunity, enforced by Airborne Divisions.
Like many social scientists, you have a tendency to downplay the weakness of observational data, e.g. data not derived from randomized, controlled experiments. You do so because no such data exists to test your hypothesis -- a plight to which I am sympathetic, having a former career in social science -- but this shortcoming does not somehow convert your analysis into a scientific one.
The point is a simple: There's no control group because there's no randomness involved. That's it, end of story. Hence any use of the term "control group" is fraudulent, no matter how you qualify it. And if you choose to hang the phrase "statistically significant" on these differences, that will underscore your misuse of the data, because without some randomness, the concept of "statistical significance" is utterly meaningless.
Unfortunately, it's a distinction that will be lost on your audience members, many of whom are lawyers (a notoriously illiterate group when it comes to statistics and quanititative analysis). But I'm a lawyer with advance degrees in statistics and quantitative methods, so I'll call out your analysis with the label it deserves most: Nonsense.
That being said, you do say in your draft "reply to critics" that you made some controls to make the data more reliable. (Draft Reply, n.24.) I remain a skeptic about that, but if you want to convince people of the validity of this approach, you should at least tell them what the controls were.