Horace Meister is a young untenured scholar who writes for this blog.
He writes:
Competing narratives underlie the disputes on how to best improve education for all students. On the one hand we have narratives of testing, accountability, and the free market. On the other hand we have narratives of collaboration, social capital, and public goods. Data are often cited in these debates to support one narrative or the other. But there is a dark art to the use of data, an art at which the powerful forces of corporate reform and school districts operating under their paradigm excel.
Let’s take a look at how reformer think tanks and “research” organizations manipulate data and how school districts mimic those strategies. The New York Times editorial page recently gushed over “Michael Bloomberg, who improved graduation rates and college acceptances in poor neighborhoods by shutting down schools that were essentially dropout factories and starting afresh with smaller schools, new teachers and new leadership [1].” The editorial board does not realize or acknowledge that in New York City “student outcomes have not improved compared to similar districts, which did not implement the market-based reforms [2].” The editorial board also does not realize or acknowledge that the MDRC papers, the “research” often cited as supporting the shuttering of community schools and their replacement with small schools of choice, are deeply biased and flawed [3].
Additional flaws and biases with the MDRC “research” can be added to the top 10 list in the piece cited in endnote #3. MDRC seems to have deliberately biased their sample so as to come to conclusions that support the corporate reform approach [4]. MDRC only looked at high schools– ignoring elementary and middle schools that were also subjected to closure and re-opening (and, in some cases, re-closure and re-re-opening). The data show that the new middle schools that opened under Bloomberg performed worse than the older middle schools, when controlling for student need [5]. The data also show that of “154 public elementary and middle schools that have opened since Mayor Bloomberg took office, nearly 60% had passing rates that were lower than older schools with similar poverty rates [6].”
MDRC only studies new small high schools that opened up by 2008, the very years during which the new small high schools were allowed to exclude special education students and English Language Learners. By now they could have added to their sample additional student cohorts, but they have not. Due to threats of a lawsuit since 2008 new small schools are no longer officially permitted to exclude students [7]. Does MDRC know that without this “competitive advantage” the new small school data wouldn’t look so good? When a purportedly objective “research” organization manages to exclude entire categories of schools and when including the excluded schools would lead to a more objective and less positive evaluation of a policy, we are witnessing the dark art of data manipulation.
MDRC did not consider alternative hypotheses, a basic requirement of the scientific method as taught by every science teacher. So let’s consider an alternative hypothesis for the editorial board of the New York Times. Here is the hypothesis: “Large community high schools and large high schools of choice have better student outcomes than other high schools serving similar students.” Indeed the data support this hypothesis [8]. The New York City Department of Education produces report cards that evaluate schools on their “peer percent of range.” According to this data the largest high schools in New York City, those serving over 2,000 students, outperform peers by +14.7% on weighted graduation rate (a metric that takes into account the quality of the diploma such as whether or not it is Regents-endorsed or an advanced Regents diploma) and by +20.1% on college readiness [9].
Rather than favoring certain types of schools over others and forcing schools to compete with one another, as Bloomberg did and the New York Times editorial board wants to continue, let’s have schools collaborate and work together in an equitable policy environment [10]. This approach to creating great schools is supported by the (non-manipulated) data [11].
Unfortunately, school districts operating under the corporate reform paradigm do not want to follow such an approach. Instead they manipulate data in ways that are biased towards their ideological agenda. As we just saw, large high schools in New York City do a great job on college and career readiness metrics. This must have put Bloomberg’s Department of Education in a bind. They had all the data showing that the large high schools were outperforming their peers in college and career readiness, an important part of what high schools are all about. But they couldn’t allow the new small high schools created under Bloomberg to look bad. So when including college and career readiness metrics in the school report cards they only allowed them to count as 10% of the total school grade (and not 20% or 25% or 30%– percentages that would seem more important given the importance of college and career readiness). This minimized the negative effect that these metrics would have on the grades of schools created under Bloomberg [12].
This sort of manipulation is not uncommon. Corporate reform school districts believe in privatization and charter schools. So they do not address how creaming and the sky-high attrition rates at many charter schools explains their “results [13].” They believe in accountability and evaluating schools. So they grade schools using metrics that are deeply flawed and penalize schools that serve the neediest students [14]. They believe in accountability and testing. So they pretend not to manipulate cut-scores on exams for political ends [15].
Next time you see data cited, even it is from your own school district, question it.
[1] http://www.nytimes.com/2014/11/01/opinion/when-to-shut-down-failingōschools.html
[3] https://dianeravitch.net/2014/10/23/are-small-high-schools-the-magic-bullet/
[4] The following criticisms are aimed solely at the MDRC claim that the portfolio strategy as employed by the Bloomberg administration was a success. Small schools, if implemented fairly in an equitable policy environment, may provide a level of personalization and support that is valuable for many students. Large schools can also offer personalization and support through smaller structures such as academies or advisories. But this is a topic distinct from the specific one discussed here.
[5] http://www.edwize.org/new-middle-schools-same-old-challenges
[7] http://www.advocatesforchildren.org/Empty%20Promises%20Report%20%206-16-09.pdf?pt=1
[9] The high schools with over 2,000 students run the full gamut, from community high schools that serve all local students to selective high schools where admission is based on exams to comprehensive high schools serving students who choice-in from across the city. The Bloomberg administration tried to close some of these schools. The peer percent of range metric is designed to compare each school only to other schools serving students of comparable incoming performance and demographics.
[10] https://dianeravitch.net/2014/05/02/a-triumphant-return-to-professionalism-in-new-york-city/
[12] Note that this strategy of developing metrics in such a way that they favor specific school types and policies is distinct from the outright corruption of Tony Bennett, the former Indiana education commissioner, who changed the grades of individual schools. https://will.illinois.edu/news/story/former-indiana-superintendent-feels-heat-of-grading-scandal
[13] https://dianeravitch.net/2014/08/28/beware-the-charter-attrition-game/
[14] http://withabrooklynaccent.blogspot.com/2014/01/corporate-reform-versus-child-centered.html
[15] http://withabrooklynaccent.blogspot.com/2014/03/on-misuse-of-statistics-in-testing-by.html

“Motley Data”
Data do
what you want ’em to
When you eschew
The motley crew
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What is even more damaging and noxious is that they then spread their biased data to corporate owned media. The prejudiced conclusion is disseminated to the public that believes it. The corporate message is perceived as truth by legislators and the people. It then is repeated as a “truth” that is used against public education. It is is a cycle of propaganda that conservatives have repeatedly used to create an alternate reality so they can pursue their greedy agenda with the public perception they are “in the right.” The conservatives are currently running this exact play to gain support for The Keystone Pipeline. The question is how can unbiased information be disseminated to the public when the billionaires run the game.
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This is complex
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Stanislaw Lem observed that “mud gives the appearance of depth”. But I think we can now modify that for school reform where “data gives the appearance of depth”… Where depth doesn’t exist.
This is a superb post.
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And so it came to pass that the Age of Information gave way to the Age of Data Manipulation.
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A long posting. Please bear with me…
Consider the following.
On the one hand, the self-styled “education reformers” blather on and on about “grit” and “determination” and “Work Hard. Be Nice.” and “character” and “it’s all about the kids.”
But when it comes to the massive incentives put in place by these self-same leaders and backers of the “new civil rights movement of our time” to degrade genuine learning and teaching by mandating high-stakes standardized tests and the VAMania it feeds and nurtures, they dismiss the great harm caused by their own actions by—to quote one of their thought leaders, Dr. Raj Chetty—turning “Campbell’s Law” into “Campbell’s Conjecture.”
A HuffingtonPostEd piece featuring that most celebrated EduGenius of our time, Secretary of Education Arne Duncan:
[complete posting start]
In a video interview Wednesday with 11Alive News, U.S. Secretary of Education Arne Duncan said he was “stunned” when he learned of the teacher cheating scandal in Atlanta Public Schools.
Duncan calls the scandal a result of a “rotten” culture, but isolated to Atlanta and Baltimore, where several schools have recently seen similar problems. Duncan says in the interview:
“This is an easy one to fix [with] better test security.”
Still, despite the problem’s isolation, the root of the issue is systemic, Duncan says.
“The answer here is very simple, you just have a culture of integrity and you have better security measures in place. but again what was so disappointing for me here was not an isolated individual or two, this was clearly systemic, this was clearly a part of the culture in Atlanta. That simply can’t happen, that is absolutely inexcusable.”
His surprise and response has drawn attention from Twitter users, several of whom said the problems come from No Child Left Behind and leadership and policy issues.
[complete posting end]
Link: http://www.huffingtonpost.com/2011/07/07/atlanta-cheating-scandal-_n_892169.html
So any manipulation of those standardized test “hard data points” by mainly teachers [Yes! Those rascals!] is not really widespread.No, it’s attributable to lack of integrity and lax security and other isolated missteps and flaws.
Hmmmm…
Yet the above HuffPostEd piece points to a systemic problem. It’s spelled T-E-A-C-H-E-R-S.
Don’t believe me? Hey, TIME magazine pointed out all the bad apples! And If VAM could just be applied across the board [with all those multiple measures that align with it so that it appears accurate and trustworthy] then we could reward the highly effective apples, er, teachers and get rid of all those grossly ineffective rotten apples, er, teachers. And do this over and over again, every year.
*Caveat: only to be applied to the vast majority of students aka OTHER PEOPLE’S CHILDREN. When it comes to THEIR OWN CHILDREN, self-proclaimed “education reformers” know better.*
And then there’s all that useless money-wasting public school support staff. They need to go too. Plus, don’t forget to scale up the mandated high-stakes standardized tests too, and ensure that curriculum and day-by-day teaching are aligned in order to make test takers everywhere comparable to test takers anywhere.
What am I contrasting? Just look at it this way: if you abandon reason and logic and consistency and decency, and completely ignore ethics and sound pedagogy, and replace it with the worst business/management practices that the heavy hitters in “education reform” employ, then “data manipulation” is an affront to all free market fundamentalists because—
When you’re in business, it’s all about the bottom line. You’re in it to win it. Winning isn’t everything, it ’s the only thing. What sort of business lauds the competition and supports its rivals?
The business of business is business. In this case, the ed business. And in the ed business, the bottom line is a single all-important metric that can be quantified: $tudent $ucce$$.
So partly in response to Chiara’s comments the other day about “systems thinking” I think one way to approach it is: when it is necessary to lie by commission and omission and to deflect, take systemic “ed reform” failures as individual atomized character flaws and inexplicable glitches; when it is necessary to guarantee and increase the bottom line, any systemic framing that supports and promotes and defends charters and vouchers and privatization. If that means subjecting numbers & stats to the enhanced interrogation techniques of accountabully underlings, then who’s to say their massaged and tortured numbers & stats are wrong? The opposition, the competition, that’s who! You can’t believe a Mercedes Schneider or Gary Rubinstein or Bruce Baker or GF Brandenburg or Mark Weber or Audrey Amrein-Beardsley! They’re self-interested parties aka the envious and jealous of miracle schools like $ucce$$ Academy!
😱
To conclude, consider just this one of a number of bizarre examples: when you sing the praises of merit pay, oh boy, that pile [?] of dough and the public praise that accompanies it (and keeping your job to boot!), hey, it is gonna incentivize world-class teaching and results. First and foremost, it’s all about the Benjamins! That’s what people want above all else! But when you make people’s pay and jobs and reputation depend on the chimerical results of VAM, it is a mystery why they will act unethically. Sure, like the Atlanta cheating scandal‚ that can only be understood as being a lack of proper character and moral upbringing.
😒
And for those that accuse the self-designated cage busting achievement gap closing disruptive innovators of our time of double speak and hypocrisy? It’s like water off a duck’s back. They’ll stick like super glue to Marxist fundamentals:
“Those are my principles, and if you don’t like them… well, I have others.”
¿Marx? The only one that counts, natcherly. Groucho.
😎
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Not surprising that this “scholar” is embarrassed to sign his name to a post sneering at a randomized experiment (the gold standard of evidence) and instead asking readers to look at raw graduation rates of schools over 2,000. The latter simply isn’t social science at all.
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WT: You are clearly a quantitative idiot although you like to use lingo. The data used by Horace Meister is not raw graduation rate. As clearly stated in the essay it is based on comparison to peer schools. Before you betray your ignorance why don’t your read up on the methodology behind the data set used in the essay http://schools.nyc.gov/NR/rdonlyres/F594D93F-393D-4D67-A5F6-EB1076B1CF94/0/EducatorGuideHS11202014.pdf. It is clearly not a raw grad rate as explained in the methodology that you haven’t bothered to read up on.
Additionally the MDRC study is not a randomized experiment on any methodological definition of “random.” Have you even bothered to read their methodology? Do you understand it?
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“Comparison to peer schools” — still not even remotely as good as a randomized experiment. No sane social scientist would say this counts as *better* evidence than the MDRC experiment.
FYI, here’s how their experiment worked:
“How Was the Study Conducted?
“As noted above, the study takes advantage of lottery-like features in New York City’s high school admissions process. Each year, NYC eighth-graders are required to select in rank order of priority up to 12 high schools that they want to attend; when an SSC has more applicants than spaces, the district uses a randomized process to break ties and assign students to the SSC or to another school in the district from each student’s list of preferences. This analysis examines lotteries that were found in 84 of the 123 SSCs and provides the basis for an unusually large and rigorous study of the effects of enrolling in SSCs on students’ academic achievement; the study tracks more than 12,000 students in SSCs and other high schools in New York City. The study does not compare the SSCs to the large, failing high schools they replaced but, rather, to the other public high schools operating in the reform-rich atmosphere in New York City.”
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WT: First off your foolishness is apparent in the fact that you have now changed your initial argument since you were shown to be entirely wrong. But you are still trying to pretend that you haven’t been blown out of the water. Your stubbornness is in some ways admirable. Please admit to the truth. Your claim that Horace Meister was referring to raw graduation rates was incorrect. Right? Second you keep on claiming that the MDRC study was a randomized experiment. You have clearly not read the original report as you quote only from their FAQs. For a complete debunking of their methodology why don’t you read this first https://dianeravitch.net/2014/10/23/are-small-high-schools-the-magic-bullet/?
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I’m reading Nate Silver’s book, The Signal and the Noise. He spends a lot of time discussing selection bias and how it affects research and predictions. This is what he’s talking about. This was a good post by Meister. Even for those who don’t agree with him, it is an example that if one selects instruments of data that support their point of view, and make prediction models that skew relevant factors in their favor, they will ultimately get the result they were seeking from the beginning.
So, WT, whether you realized it or not, your post post essentially does the exact same thing as Meister’s (in your view). You simply chose to devalue a metric that doesn’t support your view. You can debate its relevance, but that’s subjective. Just as subjective as anyone saying it has huge significance.
This is why so much of education research should be ignored. It’s driven by ideologies and not by curious, logical research. There’s a battle over control right now and both sides are looking for justifications rather than answers.
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Anyone care to comment on Hattie’s data in “Visible Learning?” It is the center of our district PD this year which helps explain why our leadership doesn’t believe our huge class sizes are a problem – or that 24% of our students living in poverty is a potential obstacle to higher test scores.
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I found this interesting *comment here:
http://grantwiggins.wordpress.com/2012/01/07/what-works-in-education-hatties-list-of-the-greatest-effects-and-why-it-matters/
*I do not know why educators drool over news that parents do not matter. Parents clearly do matter. Hattie’s methodology just did not measure socio-economic status and home environment affect on children before they enter school. Here is a quote from Hattie in his own book! How could he be misinterpreted by so many? “It is not a book about what cannot be influenced in schools — thus critical discussions about class, poverty, resources in families, health in families, and nutrition are not included — but this is NOT because they are unimportant, indeed they may be more important than many of the influences discussed in this book. It is just that I have not included these topics in my orbit.” To anyone with common sense, home environment does matter. [p ix]
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