Data Please

If any readers are interested, I would be willing to pay for an analysis of the UK 2006/2009 PISA data by ethnicity by nativity. (Were you to do this as a charitable service, I would be much obliged — but I appreciate how adverse HBDers are to these types of activities.) You will need access to a statistical software package such as SPSS and some familiarity with it. (If you need help, I can walk you through the process.) I am only looking for very simple trivariate analyses, such as the one I did here. You can download the data online. I would do it myself but I’m currently short a few moles of ATP (and, due to my computer’s untimely death — I use my wife’s now — the requisite software). If you are interested let me know. Thanks.

This entry was posted in Uncategorized. Bookmark the permalink.

14 Responses to Data Please

  1. JL says:

    I’m a bit under the weather myself at the moment, but I can give it a try (not for money, of course) if there are no other takers.

    • JL says:

      Looking at the item response data codebooks, scale scores for individuals do not seem to be available and I have no idea how to compute them from item scores. In the PISA sampling scheme, each student responds to some subset of all items, i.e., the items vary across students.

      • Chuck says:

        PISA works with PVs. 5 plausible values are given per subject area (math, reading, and science) per student. From these are generated replicant values and final student weights. These represent probable latent scores. Ideally, when dealing with population comparisons, you are supposed to average the 5 values — but this isn’t even necessary for us. Refer to page 100 and 118 for methods of calculating means:

        “As stated in the previous section, a set of plausible values, usually five, are drawn for each student for each scale or subscale. Population statistics should be estimated using each plausible value separately. The reported population statistic is then the average of each plausible value statistic. For instance, if one is interested in the correlation coefficient between the social index and the reading performance in PISA, then five correlation coefficients should be computed and then averaged.

        Plausible values should never be averaged at the student level, i.e. by computing in the dataset the mean of the five plausible values at the student level and then computing the statistic of interest once using that average PV value. Doing so would be equivalent to an EAP estimate, with a bias as described in the previous section.”

        I’m just looking for something like this:

      • JL says:

        Thanks. I actually just stumbled on that information myself.

    • statsquatch says:

      What is the best web site to get the data? I am downloading big SAS data sets.

  2. JL says:

    It seems that it’s not possible to do this sort of analysis using the UK PISA data (for 2009 at least). This is because almost all the replies to “country of origin” questions are either “United Kingdom” or “Another country”, i.e., the foreign countries are not specified. For example, here are the country origin frequencies for mothers of students.

  3. Nyk says:

    Something interesting: “In an intriguing twist, Project ENIGMA investigators also discovered genes that explain individual differences in intelligence. They found that a variant in a gene called HMGA2 affected brain size as well as a person’s intelligence. DNA is comprised of four bases: A, C, T and G. People whose HMGA2 gene held a letter “C” instead of “T” on that location of the gene possessed larger brains and scored more highly on standardized IQ tests.”

    So there is a correlation between brain size and intelligence, and for the first time a gene has been found which triggers increases in both (presumably because intelligence requires more of the “hardware”). Since Blacks and Whites have different brain volumes, this would be circumstantial evidence against full equality in intelligence.

    Is there any data showing the frequency of that gene in different populations/races? It would be nice if you took a look at it, it would certainly be more illuminating than the UK statistics. Even if that gene can only conclusively prove a one-point-or-so difference between Blacks and Whites, it would be a strong hint that the overall selection pressure for intelligence has been lower for Blacks.

    • JL says:

      Razib looked at the population distributions here: The frequencies of the C allele (the good one) are higher in blacks and whites than Asians. Note Luke Jostins’s comment though: the IQ association may be another false positive.

    • Chuck says:

      So your counter-evidence is a study which found a brain size-IQ gene, for which Blacks have a higher frequency of the beneficial allele. More illuminating than the UK statistics, indeed.

      • Nyk says:

        Yeah, whatever they might show, those gene associations are going to be far more solid evidence for or against intelligence-HBD than the score tests.

        So, bottom line is to search for the truth and be willing to reconsider the probabilities of one theory being true if the evidence points strongly the other way. Intelligence-HBD is not to be discounted easily because it predicts massive differences in historical outcomes between White nations and Black nations that other theories cannot properly explain (Asians historically lagging behind Whites in science despite higher IQ notwithstanding – but the difference is a lot smaller between the latter anyway). But if many more such IQ-genes are found and Blacks have the same frequency or more, we must seriously consider other explanations (genetic or otherwise) than intelligence-HBD for the vastly different economic outcomes of the world’s populations and countries.

        I will keep reading your findings and appreciate the fact that at least you engage with the HBD community on a different level than the liberal Inquisition that responds with ad-hominems rather than counter-arguments.

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s