- #36
Aquamarine
- 160
- 4
I find this discussion more and more uninteresting. You continue to ignore peer-reviewed studies contradicting the theories of Jensen and Rushton.
In general, I only state that many questions are unresolved. But you make many strong claims regarding these issues, claiming proved answers. As such, it is up to you to provide the evidence in the form of peer-reviewed studies.
The Jensen study I referred to was the study you referred to earlier in this thread. I should not have said the Jensen study but the twin study used by Jensen as evidence in your quote.
Regarding 1 and 3, do Jensen claim to explain more than only the US variance right now? If so, please provide which peer-reviewed studies he uses as evidence.
Regarding 2, you fail to provide evidence that the gaps will not dwindle in the future. And I certainly agree that "the extent to which the level of g per se has been rising (or falling) over the past few decades remains problematic."
Regarding 4, my statement need no studies, saying only that there may or may not be a relationship. But you seem to claim something stronger than that, that there is no relationship. Which peer-reviewed studies support your position?
Again regarding "macro", a wealthy family/society environment can provide better "micro" factors which will affect intelligence. For example iodine supplementation in rich countries with good health-care. Please provide the peer-reviewed studies claiming otherwise for the world as whole, not only the US.
Finally regarding your statement "Evidence (published in peer reviewed journals) from the past few years has shown that the Flynn effect is due entirely to increases in specificity and not g. There is zero gain in g from the Flynn effect.":
In general, I only state that many questions are unresolved. But you make many strong claims regarding these issues, claiming proved answers. As such, it is up to you to provide the evidence in the form of peer-reviewed studies.
The Jensen study I referred to was the study you referred to earlier in this thread. I should not have said the Jensen study but the twin study used by Jensen as evidence in your quote.
Regarding 1 and 3, do Jensen claim to explain more than only the US variance right now? If so, please provide which peer-reviewed studies he uses as evidence.
Regarding 2, you fail to provide evidence that the gaps will not dwindle in the future. And I certainly agree that "the extent to which the level of g per se has been rising (or falling) over the past few decades remains problematic."
Regarding 4, my statement need no studies, saying only that there may or may not be a relationship. But you seem to claim something stronger than that, that there is no relationship. Which peer-reviewed studies support your position?
Again regarding "macro", a wealthy family/society environment can provide better "micro" factors which will affect intelligence. For example iodine supplementation in rich countries with good health-care. Please provide the peer-reviewed studies claiming otherwise for the world as whole, not only the US.
Finally regarding your statement "Evidence (published in peer reviewed journals) from the past few years has shown that the Flynn effect is due entirely to increases in specificity and not g. There is zero gain in g from the Flynn effect.":
http://users.fmg.uva.nl/jwicherts/wicherts2004.pdf (my emphasis)Several studies have addressed the issue whether differential gains on intelligence subtests are positively correlated with the g loadings of these subtests (Colom et al., 2001; Flynn, 1999a; Jensen, 1998; Must et al., 2003; Rushton, 1999, 2000). This issue concerns the question whether between-cohort differences are attributable to the hypothetical construct g. As such, these studies address the same question as we do here. However, we do not limit ourselves to g and employ MGCFA, rather than the method of correlated vectors (i.e., correlating differences in means on a subtest and the subtest’s loading on common factor, interpreted as g). Using the method of correlated vectors, Jensen (pp. 320–321), Rushton, and Must et al. found low or negative correlations and conclude that the Flynn effect is not due to increases in g. However, Flynn (1999a, 1999b, 1999c, 2000a), in a critique of Rushton’s conclusions concerning Black–White (B–W) differences, obtained contradictory results. In addition, Colom et al. (2001) report high positive correlations using the standardization data of the Spanish Differential Aptitude Test (DAT). Thus, it remains unclear whether the Flynn effect is due to increases in g. It may be argued that the contradictory findings are the result of differences in the tests’ emphases on crystallized or fluid intelligence (Colom & Garcı´a-Lo´ pez, 2003; Colom et al., 2001). However, of more immediate concern is the method of correlated vectors. This method has been criticized extensively by Dolan (2000) and Dolan and Hamaker (2001). One problem is that the correlation, which forms the crux of this method (i.e., the correlation between the differences in means and the loadings on what is interpreted as the g factor), may assume quite large values, even when g is not the major source of between-group differences (Dolan & Lubke, 2001; Lubke, Dolan, & Kelderman, 2001). Indeed, this correlation may assume values that are interpreted in support of the importance of g, while in fact, MGCFA indicates that factorial invariance is not tenable (Dolan, Roorda, & Wicherts, 2004).
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