Julian Vasquez Heilig of the University of Texas has the most brilliantly illustrated blog of any that I read. He creatively weaves in photographs, graphs, and other eye-catching stuff to make his text vivid.
And vivid it is.
In this post, he analyzes with his typical humor and dry wit the latest Mathematica study of Teach for America. The study made headlines across the nation.
It said that the students TFA’s young recruits got higher math scores than did the students of other novice teachers or of experienced teachers.
But Heilig demonstrates that the sample of TFA teachers was not typical of TFA, and that the differences between the TFA teachers and the other teachers were very small, almost to the point of being trivial.
He refers to the study as “irrational exuberance,” slyly referring to a remark made by Alan Greenspan when the stock market reached a feverish high in 1996. Greenspan implied that the market was a bubble, about to burst, and Heilig implies the same.
First, he points out that there are not many TFA secondary math teachers, and Mathematica had to “scour the country” to get an adequate sample size. Next, he notes that the sample was 80% white, which does not reflect the reality of urban districts or of TFA.
Most important, he shows how Mathematica chose to represent the differences; it used a scale showing the differences as “tenths of a standard deviation.” When the same difference is represented as 1, 2, or 3 standard deviations, it is very hard to see any difference between the novice TFA teachers and the experienced teachers. As he writes, “you need binoculars, maybe a telescope when the effects of secondary TFA math teachers are placed on a scale that is not in tenths of a standard deviation.” In other words, Mathematica presented the results in a scale that exaggerated what they found.
But his most remarkable observation is that the effect size of a TFA recruit is .07, while the effect size of class size reduction is .20. Thus, if you are a policymaker and you want to get the biggest improvement, you would reduce class size instead of hiring TFA, and you would get triple the effect!
Not to end with that huge finding, Heilig goes on to observe that the Mathematica study has findings that are “contrary to what we know from decades of research about teacher quality.”
According to Mathematica, nothing matters but “the magic of TFA.”
Prior ability in math doesn’t matter.
Taking math courses or have a math major in college doesn’t matter.
Working on your masters degree or certification has a negative effect.
Or, in the inimitable words of the irrepressible and brilliant Julian Vasquez Heilig:
In sum, you will be a better airline pilot (teacher) if:
- You do not have ongoing pilot training, it will hurt your flying skills.
- You do not study to become a pilot before piloting a plane. Just rev the engines. Wohoooooooo.
- Using a flight simulator to test your ability to fly a plane before hand will have no relationship to your ability to fly a plane.
Please read the post and enjoy JVH’s irreverent and often hilarious graphics. Spot on.

Hey, these Mathematica guys know that most journalists are innumerate and will take a press release and run with it… And sadly, once a headline touts TFA’s superior results it’s hard to change the narrative…
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The good news here is that a teacher with only five weeks of teacher training over the summer is basically indistinguishable from a traditionally trained teacher?
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TE, Apparently the good news is that teaching to the test is so easy to do. When it’s all based on test scores, then that becomes the focus of the group. TFA and many charters are built on models that game the tests.
And with evaluation systems and CCSS assessments coming out soon, that’s what we’ll get everywhere. If you ask how I know this, I have five former students who have done TFA service. They discussed those five weeks of training methods. Drill and kill, baby. Project based learning? Nah. Research projects? Nah.
Just get those test results. Lots of multiple choice worksheets. And none of my five former students went beyond the two year required commitment.
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“Apparently the good news is that teaching to the test is so easy to do. . .”
If that’s good news I’d hate to see what the bad news is.
Folks,
What we’re talking about here is so insanely illogical that it ranks right up there with “how many angels can fit on the head of pin” when it comes down to intellectual validity.
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The major conclusion of the original post by Dr. Ravitch is that the differences between TFA math teachers and other math teachers is small, right?
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as to be statistically insignificant, eh!
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Duane, I was being sarcastic.
TE, My point is that test scores are hardly a full measure of a teachers value. Sure, in the sense that test scores are not much different, I guess that means something. But, as we frequently debate around here, there’s a lot more to being a good teacher in today’s cultural climate. But if you want to hang your hat on test scores where kids receive no reward or punsihment (so they don’t take them very seriously as they get older), go ahead.
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I did not say that it was a measure of the full value of a teacher. Who knows what other things the TFA and other teachers bring to the table. Within the context of this post, however, the main takeaway is that The students of TFA teachers are only very slightly better than traditional teachers. Given the universal belief among the posters here and our host that TFA teachers are nearly completely unprepared to teach, it seems to me a pretty good showing.
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Steve K.
I thought you were being sarcistic/snarky and that is why I followed up with what I did because really it’s a whole lot of nothing about nothing.
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Duane,
Forgive me if I am stating the obvious here, but statistical significance is not about how large an effect there is but how sure we are there is an effect. So,etching that we estimate to have a small impact on learning may be statistically significant because we are pretty sure there is a relationship there while something else that we estimate to have a large impact on learning might be statistically insignificant because there is a significant possibility that we are seeing the results of randomness, not an actual relationship.
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TE, be sure to insist on a pilot with five weeks training next time you leave Kansas. And wear your ruby red slippers for luck.
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I am not sure why this is relevant to the finding that students of TFA teachers only do a little better than students of conventionally trained teachers, not a great deal better. That was the point of the original post I believe.
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Aww, I was looking for your comments on the Gary Rubinstein take down.
Didn’t see them.
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Sorry if I’m being obtuse, but why does the high proportion of the TFA sample size being white matter? Obviously diversity is something they should prioritize and if there has to be such a thing as TFA, then it should reflect the demographic composition of the district’s they serve…. but for the purpose of this study why does it matter? The implication from my (probably incorrect) reading of Dr. Heilig’s post seems to be that the high proportion of white TFA teachers might have skewed the results in a positive direction. I must be misreading that right? Because without seeing some research to the contrary, the assumption that a “whiter” sample will produce better results seems very, very flawed. Thanks in advance for the clarification!
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I think the point is that the race/ethnicity of teachers is an indicator of the race/ethnicity of their students. And so if the TFA sample was 10 percentage points “whiter” than the non-TFA sample, that might suggest the TFA teachers were teaching more affluent and/or “whiter” students than the non-TFA students. That arguably makes some sense, although it probably needed to be explained more and better. To the extent the article suggests that, other things equal, there are reasons to think “white” teachers would better teachers than “non-white” teachers, that’s obviously problematic.
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But the study includes the demographic information on the student samples (they’re pretty comparable). Why not use the student data to make that suggestion? Seems completely unnecessary to use the race of the teachers as a proxy for student demographics. I agree this needs to be explained better. I still can’t read it as anything but an assumption that a sample of white teachers will outperform a sample with less white teachers. Like you FLERP!, I find such an assumption very problematic.
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Very good point, Mike.
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Mathematica sounds so professional, it is amazing what money can buy!
Not only do we (the taxpayers) pay for TFA summer institutes with ARRA funds, we also pay Mathematica for studies this with ARRA funds!
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I again make a general plea that people stop using the word “decimate” to mean “utterly destroy.”
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Right. Decimate = one out of ten destroyed.
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Why, FLERP!? It seems appropriate.
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See Dienne’s comment. I’m generally not a stickler for fixed definitions when the current of general usage runs strong in another direction. But I can’t get past the arithmetical meaning of “decimate” when it’s plastered right on the face of the word.
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Not sure what you mean by arithmetical meaning unless you mean 1/10.
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If TFA is using SAT scores, and I haven’t bothered to look at the bogus “study,” they are LYING because SAT scores don’t measure ability anyway but merely tell colleges how much preparation students have had.
Furthermore, going to an “elite” school is strictly up to the student to apply–very few students in the country bother to apply to hoity-toity Ivy League schools and others. Judging from the intelligence level of many of these “elite” grads, I’d say the schools are vastly overrated anyway. All you are actually buying with those degrees are connections, with is significant.
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Agree susannunes with your second paragraph. Although I think that one might consider the hoity-toity to be more of overly ambitious or their ancestors overly rich.
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It seems that almost no one understands numbers from my experience until they are trained to know what they are looking at. Another is that the race of the teachers has nothing to do with their student population in my experience of looking at these numbers at a lot of school districts in California. On the CDE website these are easily available. Who goes to teaching school seems to have nothing to do with the student population. One thing for sure is that the press is owned by the billionaires and they do not want you to know anything as to what is going on and will not write those stories no matter what. We know. We have given so much info to the press and nothing. State it in public at board meetings. Never gets in including billions and the I-Pad scam no matter how much documentation. There is no free press. This blog is a part of the “Real Free Press” and that is why people like teaching economist and I am sure I upset some people . So what learn to live with the truth even if it does not fit your picture of the situation. Look, analyze, see if you can prove the statement incorrect. If not accept, If no good reject, but first look and analyze. Do not have a closed mind. This blog is what we call the “Giant Brain” or “Our Parallel Processing Super Computer.” Inside of this group is all the knowledge needed. No one knows all. When you read and analyze what all here comment and state there is a lot of knowledge with deep history. You can lead a horse to water but you cannot make it drink is what this is.
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“You can lead a horse to water but you cannot make it drink”
And our born and raised homegrown country boy biology teacher at my high school (a rural district) has an attendent corollary:
“and I ain’t suckin on the back end to make it drink!”
But that is what the powers that be want us to do to raise those holy test scores.
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