Grover J. “Russ” Whitehurst writes,
Unfortunately, supporters of Preschool for All, including some academics who are way out in front of what the evidence says and know it, have turned a blind eye to the mixed and conflicting nature of research findings on the impact of pre-k for four-year-olds. Instead, they highlight positive long term outcomes of two boutique programs from 40-50 years ago that served a couple of hundred children.
Pointer from Tyler Cowen. I take the first sentence to be a swipe at James Heckman.
Whitehurst summarizes the results of a larger, more recent study, and concludes
This is the first large scale randomized trial of a present-day state pre-k program. Its methodology soundly trumps the quasi-experimental approaches that have heretofore been the only source of data on which to infer the impact of these programs. And its results align almost perfectly with those of the Head Start Impact Study, the only other large randomized trial that examines the longitudinal effects of having attended a public pre-k program. Based on what we have learned from these studies, the most defensible conclusion is that these statewide programs are not working to meaningfully increase the academic achievement or social/emotional skills and dispositions of children from low-income families.
I received a review copy of The Smart Society, by Peter D. Salinas, a former provost for the State University of New York. Unlike me, he takes a fairly optimistic view that school reform can have a big effect on outcomes.
He writes,
we found a near perfect correlation of graduation rates with the quality of a student’s high school preparation
This suggests that until we find a way to graduate more students who are prepared for college, sending more students to college is not going to work out well.
Fair enough, but can we improve K-12 performance? He writes,
Countless studies refute the notion that just because upper-middle-class adults engage in “assortative” (i.e., class-based) mating, their children have any genetic advantage in intelligence. Yet, despite not being necessarily “smarter” than the general population–or even than the majority of disadvantaged children–nearly all upper-middle-class children graduate from high school and most go on to and graduate from college–mainly because their well-educated parents see to it.
His assertion that the children of upper-middle-class parents are not necessarily smarter than the general population is one that I find unconvincing. The only citation in the paragraph leads to single paper, which only deals with assortative mating and as far as I can tell reaches a different conclusion than what Salins suggests.
Later, he writes
France’s preschool initiative has been remarkably successful in raising later academic achievement and high school graduation levels, especially among disadvantaged children. A 1992 French government survey of children entering preschool in 1980 found that preschool attendance significantly reduced the school retention (i.e., non-dropout) rate disparity between the children of privileged and disadvantaged families.
This time, the citation seems to be mis-typed, because it leads to a paper that has nothing to do with pre-school or France. In any case, I wonder what the disparity between privileged and disadvantaged children in terms of educational attainment looks like today in France.
There is much to like in the book. However, when I find statements that go against my own views of the effects of education, I want better evidence behind them.
I thought of Heckman too. Which reminded me of this post by Eric Falkenstein
http://falkenblog.blogspot.com/2012/12/great-minds-confabulate-like-small-minds.html
“Countless studies refute the notion that just because upper-middle-class adults engage in “assortative” (i.e., class-based) mating, their children have any genetic advantage in intelligence.”
Left wing creationism, pure and simple.
His assertion that the children of upper-middle-class parents are not necessarily smarter than the general population is one that I find unconvincing.
Try reading it again. Countless. Studies.
It can’t be more plain. If he ever finishes counting them, he might cite a few. But then “countable studies” isn’t as persuasive, is it.
I thought that Heckman and Kautz (2013) acknowledge that the two famous preschool programs had little long term effects on academic achievement but had large treatment effects for various measures of outcomes. They emphasize that critics are seizing on the null effects on IQ but not looking at the effects on character or behavior, all of which they lump into the category of non-cognitive skills. I don’t know how generalizable this is, but I’m not surprised that early interventions that basically supplemented bad mothers in poor areas with bourgeois caretakers might have lasting effects. Isn’t this part of what Altonji finds to explain the Catholic school effect? In the end it’s not about IQ, it’s about self-control, discipline, and persistence.
Genetic effects on educational attainment seem to be modest. For example, a recent study with >100,000 subjects found that “A linear polygenic score from all measured SNPs accounts for ~2% of the variance” in educational attainment.” In contrast, “a score for height reached 10%, estimated from a sample of 180,00.” This study also found that individual genetic variants that were associated with higher attainment had very small effects: “our largest estimated SNP effect size of 0.02% is more than an order of magnitude smaller than those observed for height and body mass index.”
http://www.sciencemag.org/content/340/6139/1467.full
To decode Morgan’s comment: a recent study looked at the effects of 3 highly specific genes (“SNPs”) and found that by themselves they accounted for 2% of the variance in educational attainment over a single year.
If there are only three genes that affect educational attainment, then Morgan’s opening comment (that genetic effects on educational attainment seem to be modest). If not, not.
In the study I referenced, the polygenic score was based on *all* genes that were (even weakly) associated with attainment, not on 3 genes. The top SNP explained only 0.02% of the variance, so a 3-gene model would explain at most 0.06%.