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    Grammar schools have virtually no effect as genetics determine academic success, study finds
    Camilla Turner, education editor
    The Telegraph
    23 MARCH 2018 • 1:00AM
    Grammar schools have virtually no effect because genetics determine academic success, a King’s College London (KCL) study has found.

    Researchers examined the genetic differences between students who attend selective and non-selective schools, then analysed their GCSE results.

    They found that children who attend grammar or private schools are more likely to do well in exams - but this is largely down to their genes, rather than their school environment.

    The study, published in the journal npj Science of Learning, suggests that the type of school a child goes to has little impact on their academic achievement by the age of 16.

    Emily Smith-Woolley, the lead author of the paper, said: “Our study suggests that for educational achievement there appears to be little added benefit from attending selective schools. While schools are crucial for academic achievement, the type of school appears less so.”

    She added that teachers and schools should be more open to discussing the role of genetics in the classroom, and the effects it has on educational attainment. Professor Robert Plomin, another of the paper’s authors, said that genetics should be included in teacher training courses.

    **************************************************

    The paper (full text at https://www.nature.com/articles/s41539-018-0019-8) is

    Differences in exam performance between pupils attending selective and non-selective schools mirror the genetic differences between them
    Emily Smith-Woolley, Jean-Baptiste Pingault, Saskia Selzam, Kaili Rimfeld, Eva Krapohl, Sophie von Stumm, Kathryn Asbury, Philip S. Dale, Toby Young, Rebecca Allen, Yulia Kovas & Robert Plomin
    npj Science of Learning volume 3, Article number: 3 (2018)
    Abstract
    On average, students attending selective schools outperform their non-selective counterparts in national exams. These differences are often attributed to value added by the school, as well as factors schools use to select pupils, including ability, achievement and, in cases where schools charge tuition fees or are located in affluent areas, socioeconomic status. However, the possible role of DNA differences between students of different schools types has not yet been considered. We used a UK-representative sample of 4814 genotyped students to investigate exam performance at age 16 and genetic differences between students in three school types: state-funded, non-selective schools (‘non-selective’), state-funded, selective schools (‘grammar’) and private schools, which are selective (‘private’). We created a genome-wide polygenic score (GPS) derived from a genome-wide association study of years of education (EduYears). We found substantial mean genetic differences between students of different school types: students in non-selective schools had lower EduYears GPS compared to those in grammar (d = 0.41) and private schools (d = 0.37). Three times as many students in the top EduYears GPS decile went to a selective school compared to the bottom decile. These results were mirrored in the exam differences between school types. However, once we controlled for factors involved in pupil selection, there were no significant genetic differences between school types, and the variance in exam scores at age 16 explained by school type dropped from 7% to <1%. These results show that genetic and exam differences between school types are primarily due to the heritable characteristics involved in pupil admission.

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    Originally Posted by Bostonian
    These results show that genetic and exam differences between school types are primarily due to the heritable characteristics involved in pupil admission.
    Correlation does not mean causation.

    Rather than indicating "genetics determine academic success" other studies have identified specific differences in parental choices and behaviors which have "enriched" the home environment for their children.

    For example:

    Providing books.
    I believe the magic number or tipping point was 3 books per person. These could be purchased, borrowed from the library, or obtained from a charity promoting literacy... as long as the books were valued, as demonstrated by reading them regularly.
    -- Links to research summary, books, free downloadable government resources for early literacy

    Conversation.
    Meaningful conversation helps develop both vocabulary and an understanding of the reciprocal nature of relationships. The pioneering work of Hart & Risely in the 1960's has led to further studies. A brief roundup of links:
    -- Dr. Todd Risley on the value of talking to even the youngest kids
    -- NPR Jan 10, 2011 - Closing the Achievement Gap with Baby Talk
    -- Hart&Risley research in the 1960s - high level summary
    -- Comparison: Hart-Risley (lasting impact) VS HeadStartprogram (short-term effect)

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    Interesting link.

    The study doesn't account for the fact that many of these selective programs are interested in attracting the most able students, irrespective of economic conditions, and so offer partial or full scholarships to attract under-privileged children who have demonstrated outstanding talent.

    Given that the study controls for student factors (among which the authors include economic conditions for the family), the results are certain to understate the influence of genetics due to the inclusion of outliers in the population for whom high cognitive profiles (and presumptive genetics) are present, but supportive environmental conditions are not.

    Another consideration the study doesn't address is the functional form associated with access to supportive environmental factors. It seems the authors used some sort of OLS or GLS model, and environmental factors are probably entered in some log-linear format or as a combination of a functional specification and a vector of dummies. But experience teaches us that there are significant stepwise increments of environment that confer benefits, but for which intermediate adjustments yield no practical effect.

    For example, accessing a museum once a year is likely insufficient to catalyze interest in a new subject, but monthly or bi-weekly visits would. If a dummy variable is entered into the model is unable to capture differences in practical significance of the predictor variables in the model. Likewise, a $5,000 increase in household income between $35,000 and $40,000 per year likely doesn't yield many discretionary educational opportunities for a gifted school-aged child, but that same $5,000 (on a tax-adjusted basis) between $110,000 and $115,000 would. If the vast majority of students studied have attributes clustered in ranges for which minor adjustments are not perceptible, it would be incorrect to state that the full effects of those variables had been properly controlled for.

    For these reasons, and many others that I've chosen not to bore posters with, I take such research with a large grain of salt.

    Last edited by aquinas; 03/23/18 08:38 AM.

    What is to give light must endure burning.
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    Filed under "duh":
    Quote
    The findings show that on average students in non-selective schools had lower polygenic scores for academic achievement compared to those in selective schools.

    How does averaging these things produce any meaningful scientific data?

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    Also, this seems to undermine the entire thesis:

    Quote
    In terms of polygenic scores, these only played a small part in the differences between exam grades.

    So really, nothing to see here.

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    This may be other coverage of the same study.

    Genetics affects choice of academic subjects as well as achievement
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910524/
    These results show, for the first time, that genetic factors influence academic choice, not just achievement. Whether or not 16-year-olds choose to continue their studies at A-level in preparation for university is influenced in equal measure by genetic (44%) and shared environmental factors (47%). Choosing specific A-level subjects is more heritable (50% for humanities, 60% for STEM) and less influenced by shared environment (18% for humanities, 23% for STEM). Genetic factors affect subject choice across a wide range of school subjects, including second language learning, mathematics and psychology.

    Scientists predict academic achievement from DNA alone
    https://www.sciencedaily.com/releases/2016/07/160719091622.htm
    Originally Posted by ScienceDaily July 19, 2016
    The research shows that a genetic score comprising 20,000 DNA variants explains almost 10 per cent of the differences between children's educational attainment at the age of 16. DNA alone therefore provides a much better prediction of academic achievement than gender or even 'grit', a personality trait thought to measure perseverance and passion for long-term goals.

    What's Your Polygenic Score?
    https://blogs.scientificamerican.com/guest-blog/whats-your-polygenic-score/
    Heritability—the proportion of variation in a trait within a population that is explained by genetic differences—ranges from about one-third for religiousness to about three-quarters for IQ, with personality, education level and even income falling somewhere in the middle. Genetic influence on human behavior is so pervasive that it has led the psychologist Eric Turkheimer to coin the “first law of behavior genetics”: All human behavioral traits are heritable. (His second law goes further in arguing that: The effect of being raised in the same family is smaller than the effect of genes.)


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