Monthly Archives: October 2015

NAEP and the Great Convergence

Out of all the NAEP commentary, here’s what I thought what was missing: once you control for demographics, nearly every state performs about the same.

See below from Matt Chingos:

Screen Shot 2015-10-29 at 8.28.55 AM

A quick looks indicates that only 14 states perform outside of the +/- 2 month differential.

8 above: Massachusetts, Texas, Indiana, New Jersey, New Hampshire, Florida, Virginia, North Carolina.

6 below: Hawaii, West Virginia, Alabama, California, Michigan, Mississippi.

And only 4-5 states are outside of the +/- six month band.

A few thoughts:

  1. I have no idea if there are any commonalities between the 8 above the line or 6 below the line states that could lead us to any testable hypothesis about over and under performance.
  2. I haven’t dug into longitudinal data, but this feels like a great convergence of some sorts, with most states performing about the same once you control for demographics. I’d love for Matt Chingos to do his demographically adjusted rankings over time to see if this is in fact the case.
  3. All that being said, while most states are in the middle, the gap between the top states at the bottom states is pretty significant.

For the most part, this isn’t shocking to me, as my guess is that the general operational mediocrity of government operated systems mutes many policy differences that might exist across states.

But I’m not sure. Worth mulling over some more.

Read the F***ing Book

I just finished , which is excellent. For me, easily one of the best books of the year.

One of the main themes of the book is that the best way to begin understanding a problem is to start with an “outside” view; that is, don’t start with the particulars of your situation. Instead, start with the data and research for all such similar situations.

Want to understand if performance pay works? Don’t begin by thinking about how you really want Johnny and Jane in HR to perform better. Rather, start by reading the research and data on performance pay. Once you’ve done that, then try and understand how the particulars of your situation might cause you to deviate from general trends.

Another example: want to make a prediction whether or not the Jones family has a pet? Don’t start by thinking about the Jones family, start by looking at what percentage of families in the United States have a pet. Then move up or down on this baseline based on the particulars.

This idea is incredibly important, very simple, and dovetails with some recent experiences.

So many times I’m talking to people and they are discussing their challenges and all I’m thinking is: “why didn’t you read the f***ing book?”

I’m thinking this because: (1) their problem is not unique (2) there is a vast literature on the issue and (3) implementing what the research says would probably solve 80% of the problem.

Moreover, in my recent online debate with Jay Greene, I realized that I’d made a few assumptions without being as familiar as I needed to be with the literature on the correlation between achievement growth, attainment, and life outcomes. Now, even once I did catch-up, Jay and I still had disagreements, but I was much better able to narrow down on the open questions after I had read the f***ing book.

More broadly, there are very good f***ing books on how to build organizational culture, how to develop a sound strategy, how to set strong goals, etc. and yet so many people continue to fail miserably in doing these activities.

Yes, reading the f***ing book might not make you excellent, but it probably will prevent you from making easily avoidable mistakes.

I’ve made countless mistakes because I didn’t take the time to read the f***ing book.

So why do we keep failing to read the f***ing book?

Or even after we read the f***ing book why do we fail to implement what it says?

I don’t know.

But before I offer some guesses, I’m going to see if there’s a f***ing book on this very issue.

Stay tuned.

The Family is Not Too Far Apart: Me, Jay Greene, and the Voucher State

Jay just wrote a useful response to my last post. I continue to learn from the back and forth, and I appreciate that Jay continues to push. Once you get into philanthropy, the risk is that everyone just tells you that you’re always right, so I really appreciate the debate.

Jay puts forth the following vision for choice systems:

  1. Government should only very selectively close schools, and when it does show it should look at more than test scores.
  2. Schools should be allowed to have their own admissions and expulsions processes. Equity can be achieved through per-pupil funding weights for disadvantage and hard to reach students.
  3. We shouldn’t be the farm on charters. We need choice amongst choice.

Jay then ends his post with:

“I’m pretty confident that the high regulation strategy being pursued in LA and New Orleans is a really bad idea.”

My thoughts:

1. Jay continues to play it loose with evidence. He is pretty confident that the New Orleans reforms are a really bad idea, despite the fact the New Orleans reforms have achieved greater results than any of the voucher evidence he sites! Yes, it’s not a RCT, but the effects on achievement (test scores) and attainment (high school graduation rates) are very positive and significant: .2-.4 effects on test scores and ~20 percent increase in high school graduation rates. I don’t understand why Jay makes bold claims, both positive and negative, that far exceed what the research seems to warrant.

2. All that being said, I’m open (but not very confident) that a more deregulated voucher system could lead to even better results in New Orleans and elsewhere. So if we’re talking about pilots and experiments, the family is not too far apart.

3. As for closing schools, I generally think test scores are the best way to do it because once you get into more subjective criteria I worry that schools will never close. So I’m ok setting the bar pretty low (perhaps being in the bottom 2-5% of schools in the state for multiple years in a row), but generally I’m in favor of clear cut lines rather than bureaucratic (and political) judgment calls.

4. I’m open to the idea that funding weights might get you 80% of what you want with equity while also significantly increasing the amount of schools that participate in choice. It is also worth noting that the Nevada funding weights are, in my opinion, not close to where they’d need to be to get the incentives right. But if weights got up to 50-100% increases for low-income, I think the model would be worth trying.

So I’d be very interested in experimenting with state regulations where performance accountability was clear but targeted at the very lowest performing schools and significant funding weights were the main tool for equity.

Would this work better than the more regulated New Orleans charter environment?

I really don’t know.

But it seems worth trying.

This entry was posted in Vouchers and tagged Debate, Jay Greene on by .

A Debate Within the Family: To Regulate or Not?

Jay Greene had a series of posts on choice regulation over at his blog.

His overarching argument: regulating school choice does more harm than good.

Broadly, I think Jay makes a number of good points. I also think he overstates his case.

More specifically, I think his arguments are somewhat strong on performance and pretty weak on equity.

I also think that Jay could be more conservative on how he generalizes fairly narrow research findings, especially given how hard he is on others who misuse research!

Overall, Jay made me think harder about how philanthropists should allocate resources across choice interventions. He might be right that there is too much attention to charters. I think if voucher proponents were more serious about equity regulation they could help shift the focus. I’d be happy to work with Jay and others on this. Nevada and other pilots that attempt to achieve scale could be fruitful places to partner and learn more.

Below I tackle his main points.

Government funding does not require performance oversight.

Jay notes that cash transfer programs (such as Social Security) do not come with government performance contracts. This is true.

Jay also notes that food stamps don’t come up with performance contracts. In his words: “When the government provides food stamps it does not require recipients to submit BMI measurements or other indicators of adequate nutrition.”

This is true, but it’s not a perfect example, as the government does require the providers of food to meet performance input targets (food must have some nutritional value). The government does not trust the consumer to make his or her own decisions, so choice is restricted based on the nutritional performance of the food provider’s product.

While there is not accountability for outcomes, there is heavy regulation of inputs.

More broadly, we are seeing more and more performance accountability in government health programs (Obamacare looking at things such as readmission rates) and government post-secondary programs (requiring schools that receive Pell grants to achieve certain performance targets).

Jay overstates his case when he says: “Repeating that government funds require accountability to the government is just mindless sloganeering, not an accurate description of how government programs typically operate.”

Yes, education testing is probably on the more regulated end of pay for performance. But the issue is a complicated one, and most government programs (except for direct cash transfers) regulate inputs and many also regulate outputs.

There is a vast academic literature on these various approaches.

Whether or not to regulate for outputs is worthy of deep debate, not outright dismissal.

Personally, I’m probably closer to Jay on this than the average charter supporter. I think that, over time, not regulating for performance would likely work out. In my previous writings, I’ve often said that I’d make the “all choice for no testing” trade with the far left and the far right.

But I think the issue is complicated. And, as I note below, I’m fairly comfortable with the government putting in a performance floor and closing down the very worst performers.

Test Scores are Limited Tools; Attainment is a Better Proxy for Quality than Test Scores; Vouchers Do Better on Attainment

Jay rightfully points out that test don’t measure everything: things like grit and conscientiousness are likely very important to lifetime outcomes and it is very difficult to capture these in tests.

Matt Barnum did a good response on this. In short, numerous studies have tied increases in test scores to increases in long-term outcomes. None of these studies are a slam dunk, and causation can be tricky, but there’s enough here to make a case that achievement tests measure some of what we want schools to be doing.

For these reasons, I think there’s a reasonable argument to be made that performance accountability, if it is to be used, should be used as a floor rather than the end all be all of school grading. Perhaps “A-F” systems should just be “F” systems.

Jay then argues that because testing doesn’t measure everything, attainment is actually a better measure of school quality.

Jay might be right, but it’s complicated. Yes, achieving a degree (be it high school or post secondary) will likely increase a student’s life outcomes. But the more this degree attainment is divorced from knowledge attainment (and test scores), the weaker this effect might become over time (unless employers really just care about conscientiousness, which may very well be the case).

All told, the international evidence on “schooling ain’t learning” is robust.

That being said, in terms of policy, I don’t really have much to disagree with here. As I noted above, I have mixed feelings on performance accountability as it is, and an increased focus on attainment might be very healthy for the charter community.

Jay then makes the case that vouchers do better on achievement than charters. Jay cites three studies, two of which find higher degree attainment. The Milwaukee study found increased high school degree and college persistence with voucher students, while the DC study found voucher students had increased high school graduation. The NYC programs only increased college attendance (I didn’t see any evidence on graduation). Moreover, the NYC program was only a partial scholarship, which as far as I can tell required families to pay for a portion of schooling (which makes it hard to generalize to families that could not afford to pay). The DC voucher program was fairly small in scope as well.

This does not seem to be an evidence base from which one can make strong, generalized claims about what voucher effects would be on a systems level. Only the Milwaukee and DC programs come near providing a full voucher program, and only the Milwaukee program got to real scale.

As Jay points out, the most rigorous charter research finds positive effects on test scores rather than attainment. But the evidence on test score gains is massive: CREDO has studied dozens of cities and have found an overall effect of ~.1 for urban areas serving hundreds of thousands of students. This research includes three markets where charters serve roughly half of all students or more (NOLA, DC, Detroit). And the impact on New Orleans attainment has been very significant (high school graduation rates are up twenty points). Of course, systems level evidence is  not randomly controlled, but this doesn’t mean that it’s not useful; in many instances, it’s probably more predictive than small RCTs.

If I had to bet on which intervention is most likely to work at scale, I’d be inclined to bet on a massive data set that found positive effects on test scores rather than a very narrow data set of three studies where only two study found higher degree attainment.

Of course, I might be wrong. But Jay has surely not proven his case. The evidence he cites covers small scale studies that make it difficult to generalize.

We Should Not Regulate Choice Programs for Equity

Jay first notes that heavy regulations –  “such as mandating that schools accept voucher amounts as payment in full, prohibiting schools from applying their own admissions requirements” – decreases the number of participating private schools.  This is clearly true.

Undoubtedly, more private schools will enroll voucher students if they can screen out students with behavioral issues and very low income students (which is what admissions requirements and pay-sharing would do).

In arguing against regulation, Jay writes: “But real education reform requires using the power of choice and competition to provide incentives to create more good and to reduce bad.”

Yet Jay’s version of education reform would clearly incentivize schools to not enroll students with behavioral issues or children from very low incomes. Why enroll a student who is hard to serve or who can only pay partial tuition?

This is the biggest flaw in Jay’s argument.

Jay is probably right that the performance market would correct itself over time.

It is very unclear to me that this would be true for equity.

It was surprising to me that Jay did not even find this obvious rebuttal worth mentioning.

Voucher proponents such as Jay would do well to think hard about reasonable equity regulations that ensure that decentralized choice markets offer good educational opportunities to all students.

Charter markets are moving toward unified enrollment and expulsion processes as easy to regulate for equity. Perhaps these processes are too heavy handed.

But I think some equity mechanisms need to be put in place.

Of course, you can make the argument that it is ok to have unequal public educational access so long as this system lifts all boats in the aggregate. Given that I believe that equity in access is a principle in of itself, it would take fairly large overall achievement gains for me to be willing to compromise so hard on equity.

Concluding Thoughts

There does seem to be enough in theory and evidence to support larger scale pilots of voucher programs.

This is why many people, charter school supporters included, are eager to see what we learn from Nevada.

For whatever it’s worth, my two major critique of the Nevada voucher were that the voucher amount was not enough money and that equitable access safeguards do not seem to be in place.

But overall I think it’s a very important breakthrough for choice.

So if the goal is more experimentation at scale, sign me up.

But in this experimentation I’d just argue for some basic equity guardrails so that choice is available to everyone, including the most disadvantaged.

Lastly, thanks to Jay for putting forth a good argument. It’s well worth grappling with.

Please Ask the Right Question

Here is the wrong question: given that charters + vouchers only serve around 5% of students in the country, how can we fix school districts?

Here is the right question: is it more likely that (a) we can fix school districts or (b) scale effective charters + vouchers to serve the vast majority of students in this country?

Here is what I do know: if you don’t ask the right question, you’re odds of getting the right answer will decrease, perhaps to zero.

Here is what I don’t know: the answer to the right question.

No one does.

I believe both data and theory point to (b) being the right answer.

But, again, no one knows.

5 Key Metrics Cities Should Use to Drive Educational Improvement

harbormaster

Andreesen Horowitz recently published a list of 16 metrics that venture capitalists often look at when making investment decisions.

This made me reflect on the state of metrics for city based education reform.

Over the past year, I’ve been thinking a lot about what metrics city based leaders (either as a formal harbormaster or as a coordinated effort philanthropists and reformers) should use to set goals and track their progress.

To be blunt, I think many of the goals that city leaders set are garbage.

I’m highly skeptical about setting goals such as: “by 2025 80% of our 3rd graders will be reading on grade level.”

This is generally what you see in district strategic plans or in city based collective action plans. While I don’t have exact numbers, my guess is that approximately 100% of districts fail to meet these type of goals.

The reason is simple: these goals are not tethered to a strategy that has a realistic chance of producing the desired results.

So what should city leaders do? Here’s some metric that I find useful:

#1 New High-Quality Seat Creation

Cities should set hard targets on how many new high-quality seats (students served) they will create via new school openings (charter, traditional, or private).

The total seat number should at least be 2% of the total student population for larger cities, and closer to 5% for smaller cities. So a city with 500,000 students should be opening ~10,000 new seats a year, and a city with 40,000 students should be opening ~2,000 new seats a year.

The total seat number should also be discounted in that all new seat will be high-quality. For mature cities, I’d estimate a 65-75% high-quality rate. For cities just getting new school development off the ground, I’d estimate closer to 50-65%.

#2 Medium-Quality Seat Improvement

Assuming a city is making sound investments in talent, and there is a well structured accountability system, it is likely that medium-quality schools will improve over time. I don’t really know how to set this target, as I haven’t seen good data analysis on what we can expect from improvement. If I had to pick a number, I’d shoot for 1-2% of medium quality seats become high-quality seats each year.

#3 Teacher Pipeline

One of the biggest mistakes we made in New Orleans was opening schools faster than we were building out high-quality teacher pipelines. City leaders should be building teacher pipelines that meet the needs of their expanding high-quality school sector.

Ideally, I’d like to see 50% coverage of the teacher pipelines needed to meet the needs of all high and medium quality schools. When I talk to school leaders, they estimate that 50-70% of their new hires are new teachers, so I don’t think you need 100% coverage of the new hire needs with entry teacher pipelines.

In other words, if you have 10,000 high-quality and medium-quality seats, and you have a 20:1 student teacher ration, and you estimate 20% turnover, then you need 100 teachers a year for these schools. 50% of this number would mean that you want 50 teachers a year coming from high-quality pipelines.

#4 Parent Voice

This is another area why I’m not exactly sure what the number should be. But my rough guess is that high-quality schools should be able to support at least 5% of their families to speak in support of high-quality schools at public meetings. So if a city has 20,000 students in high-quality schools, and we assume this represents 15,000 families, then at least 750 families should participate in public forums that impact high-quality schools.

#5 Community Support

I think cities should attempt to have at least 50% of citizens answering affirmative to the question: “is education improving in our city?”

____

I’m still mulling much of this over. I’m very sure the above is not exactly right.

But I do think the above metrics represent a strategic world view that has a high chance of increasing educational opportunity.

Moreover, these metrics can be rolled up to make projections on outcomes such as high school graduation rates, but I do think the real strategic and analytical firepower is getting the short-term execution based metrics right.

Overtime, I’d love to see us develop more precision about what ambitious but realistic targets are across all these areas.

Lastly, if you have other ideas for metrics, I’d love to hear them.

This entry was posted in Harbormasters, Metrics on by .