How schools that obsess about standardized tests ruin them as measures of success

August 16, 2016
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(This article was originally published at Statistical Modeling, Causal Inference, and Social Science, and syndicated at StatsBlogs.)

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Mark Palko and I wrote this article comparing the Success Academy chain of charter schools to Soviet-era factories:

According to the tests that New York uses to evaluate schools, Success Academies ranks at the top of the state — the top 0.3 percent in math and the top 1.5 percent in English, according to the founder of the Success Academies, Eva Moskowitz. That rivals or exceeds the performance of public schools in districts where homes sell for millions of dollars.

But it took three years before any Success Academy students were accepted into New York City’s elite high school network — and not for lack of trying. After two years of zero-percent acceptance rates, the figure rose to 11 percent this year, still considerably short of the 19 percent citywide average.

News coverage of those figures emphasized that that acceptance rate was still higher than the average for students of color (the population Success Academy mostly serves). But from a statistical standpoint, we would expect extremely high scores on the state exam to go along with extremely high scores on the high school application exams. It’s not clear why race should be a factor when interpreting one and not the other.

The explanation for the discrepancy would appear to be that in high school admissions, everybody is trying hard, so the motivational tricks and obsessive focus on tests at Success Academy schools has less of an effect. Routine standardized tests are, by contrast, high stakes for schools but low stakes for students. Unless prodded by teachers and anxious administrators, the typical student may be indifferent about his or her performance. . . .

We summarize:

In general, competition is good, as are market forces and data-based incentives, but they aren’t magic. They require careful thought and oversight to prevent gaming and what statisticians call model decay. . . .

What went wrong with Success Academy is, paradoxically, what also seems to have gone right. Success Academy schools have excelled at selecting out students who will perform poorly on state tests and then preparing their remaining students to test well. But their students do not do so well on tests that matter to the students themselves.

Like those Soviet factories, Success Academy and other charter schools have been under pressure to perform on a particular measure, and are reminding us once again what Donald Campbell told us 40 years ago: Tampering with the speedometer won’t make the car go faster.

The post How schools that obsess about standardized tests ruin them as measures of success appeared first on Statistical Modeling, Causal Inference, and Social Science.



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