<p>continued </p>
<p>
[quote]
These experiments do not lend support to any existing or plausible environmental theories for the remaining lower intelligence scores of people of African descent in Western societies. The Minnesota Transracial Adoption Study found that, by adulthood, the difference in IQ scores between adopted black and adopted white children raised side by side in the same high income households in mostly homogeneous Northern US upper class neighborhoods was 18 IQ points (p 185):</p>
<p>The Minnesota Transracial Adoption Study</p>
<p>IQ at Age 7 IQ at Age 17</p>
<p>W-W 111.5 W-W 101.5
W-B 105.4 W-B 93.2
B-B 91.4 B-B 83.7</p>
<p>W-W = Adopted children with two white biological parents.
W-B = Adopted children with one black and one white biological parent.
B-B = Adopted children with two black biological parents.</p>
<p>The W-W/W-B difference is 8.3 IQ points. The B-W/B-B difference is 9.5 IQ points. And the W-W/B-B difference is 17.8 IQ points.</p>
<p>The difference in IQ scores between 2 black biological parent adoptees and 1 black biological parent adoptees is nearly 10 IQ points despite the fact that both share the exact same social identity.</p>
<p>Similarly a dozen mixed race children that were raised under some mistaken information that they had two black biological parents nevertheless developed IQ scores like the other mixed race children.</p>
<p>There are no simple or plausible environmental theories to explain these kinds of findings.</p>
<p>An additional popular argument is that the Flynn Effect, the observed rise in IQ scores over time, is evidence that African-Americans or African countries will eventually reach parity with white norms. This typically includes the premise that white intelligence in the recent past was even lower than modern black intelligence. A typical example:</p>
<pre><code>US Blacks, with an average IQ today of 85, have the same IQ as US Whites with an IQ of 100 in 1957. If 1957 US Whites were not stupid, then neither are US Blacks today. It’s time to shut up about the “low Black IQ”, since by any reasonable standard, it is not really low at all.
</code></pre>
<p>These arguments are wrong for the simple fact that the Flynn Effect is not a gain in real g factor intelligence, while the differences between nations and ethnic groups are differences in g factor intelligence. These findings led a 2004 team to state:</p>
<pre><code>It appears therefore that the nature of the Flynn effect is qualitatively different from the nature of B-W [Black-White] differences in the United States… [so] implications of the Flynn effect for B-W differences appear small…
</code></pre>
<p>James Flynn, namesake of the secular increase, reiterates (DOC) these points:</p>
<pre><code>Factor analysis is a way of measuring this tendency of some people to do better or worse than average across the board; and it yields something called g (a sort of super-correlation coefficient), which psychologists call the general intelligence factor…
When you analyze IQ gains over time, you often find that they do not constitute enhancement of these latent traits – they do not seem to be general intelligence gains, or quantitative factor gains, or verbal factor gains (Wicherts et al, in press). In the language of factor analysis, this means that IQ gains over time tend to display ‘measurement artifacts or cultural bias’. For a second time, we are driven to the conclusion that massive IQ gains are not intelligence gains or, indeed, any kind of significant cognitive gains. (pp 27-28)
</code></pre>
<p>Flynn believes the secular increase represents important changes in specific narrow aspects of developed cognitive style, but not a rise in g intelligence.</p>
<p>It is therefore incorrect that 1945 US whites were less intelligent than 2007 US blacks. The Flynn Effect has little apparent bearing on racial intelligence gaps.</p>
<p>This also applies to developing countries. The Flynn Effect reveals that IQ scores in the developed world were some 1.5-2 standard deviations lower in the beginning of the 20th century. (See this GNXP post for the data) These scores are similar to ones in modern African. Some studies also reveal even faster Flynn gains in developing countries than what we observe in developed countries, and it is argued these countries are simply experiencing, in slight delay, what happened in developed countries during the 20th century. But this interpretation is not tenable if there were no actual rises in g factor intelligence in developed countries. It is incorrect that developed countries had lower g intelligence in the first half of the 20th century corresponding to IQs of 70. Meanwhile, as the Rindermann paper reveals, the scores across modern nations do correspond to real intelligence differences. Likewise, extremely low IQ scores in modern Africa, unlike scores in developed countries prior to the mid-20th century, correspond to genuine deficits in g intelligence.</p>
<p>With improvements in nutrition it is likely that scores in Africa will rise over time. But these increases will probably be genuine and of a different nature than what we observed in developed countries. It is unlikely that scores in Africa will meet or rise above those of African-Americans in the next century.</p>
<p>All of this underlines the fact that IQ can’t always be taken at face value. Gains or differences in IQ exceeding 1 SD can sometimes be ‘hollow’, or unreflective of real general intelligence, being manifested only at the lower order strata of intelligence. (See this paper examining how these false gains can arise through practice effects) Fortunately we have good methods for evaluating the construct validity of the tests and the integrity of the IQ scores.</p>
<hr>
<p>WATSON RECANTS?</p>
<p>Many intellectuals refuse to interpret psychometric claims or ideas about human diversity rationally. Despite 100 years of data showing that ethnic groups differ in their general intelligence, these claims are still rejected on moral grounds. Many of those who deny these claims either implicitly believe that ‘intelligence’ is a reflection of human worth, or believe any claim of such a difference must be a cryptic assertion of racial worth. Either way it prevents the claims from being interpreted fairly, in the factual, rather than normative, manner intended by the people who attempt to discuss this science in an open forum.</p>
<p>Watson’s original statements about the lower general intelligence of Africans were interpreted as statements about the lower human worth of Africans. When Watson then publicly apologized that his words were being misinterpreted in this way and clarified that claims about racial intelligence differences are not claims about human worth, the confused media reported that Watson had recanted his claims about intelligence differences!!</p>
<p>The science journal Nature ran an editorial claiming:</p>
<pre><code>Watson has apologized and retracted the outburst… He acknowledged that there is no evidence for what he claimed about racial differences in intelligence.
</code></pre>
<p>Time magazine also suggested he retracted his intelligence claims:</p>
<pre><code>Watson said in a statement he issued at the Royal Society Thursday. “That is not what I meant. More importantly from my point of view, there is no scientific basis for such a belief.”
And on that much at least, he’s right. For one thing, science has no agreed-upon definition of “race”: however you slice up the population, the categories look pretty arbitrary. For another, science has no agreed-upon definition of “intelligence” either
</code></pre>
<p>And Cornelia Dean at the New York Times asserted, not once, but in two separate reports that Watson retracted his intelligence claims. Even doctoring Watson’s apology by cut-and-pasting together two entirely separate Watson quotes:</p>
<pre><code>In an interview published Sunday in The Times of London, Dr. Watson is quoted as saying that while “there are many people of color who are very talented,” he is “inherently gloomy about the prospect of Africa.”
“All our social policies are based on the fact that their intelligence is the same as ours - whereas all the testing says not really,” the newspaper quoted him as saying.
“I cannot understand how I could have said what I am quoted as having said,” Dr. Watson said in a statement given to The Associated Press. “There is no scientific basis for such a belief.”
</code></pre>
<p>And again in another article:</p>
<pre><code>Dr. Watson… was quoted in The Times of London last week as suggesting that, overall, people of African descent are not as intelligent as people of European descent. In the ensuing uproar, he issued a statement apologizing “unreservedly” for the comments, adding “there is no scientific basis for such a belief”.
</code></pre>
<p>False. False. False.</p>
<p>Dear media,</p>
<p>Please read the actual text of James Watson’s apology printed in the Independent, instead of mangling it and interpolating it with your own claims:</p>
<pre><code>To those who have drawn the inference from my words that Africa, as a continent, is somehow genetically inferior, I can only apologise unreservedly. That is not what I meant. More importantly from my point of view, there is no scientific basis for such a belief…
The overwhelming desire of society today is to assume that equal powers of reason are a universal heritage of humanity…
To question this is not to give in to racism. This is not a discussion about superiority or inferiority, it is about seeking to understand differences, about why some of us are great musicians and others great engineers.
</code></pre>
<p>Watson would only be retracting his intelligence claims if he considered those claims tantamount to claims of ‘superiority’ or ‘inferiority’, which he clearly emphasizes he doesn’t. Watson is saying that questioning that all races are equal in intelligence is not racism, it is trying to figure out why the world looks the way it does, with the greatest engineers and the greatest musicians disproportionately coming, in a systematic way, from different racial backgrounds. In other words culturally separated people of African descent have been musical innovators across a diverse range of cultures (in the Middle East, Africa, Europe, North and South America, and the Caribbean), while culturally separated people of East Asian descent have excelled at math and science across a diverse range of cultures (in Asia, Europe, North and South America, and the Caribbean).</p>
<p>This is not a claim of racial ‘superiority’ or ‘inferiority’, either in terms of legal worth or even in terms of overall talent - since groups all have different strengths and weaknesses. It is simply the recognition that people of different genetic heritage, on average, reveal different talents wherever they are found in the world, and there is one explanation that best accounts for these observations: evolution.</p>
<p>In other words, Watson was thinking like a scientist. Which is exactly why he was punished.</p>
<p>The moral laws of our society dictate that we are not allowed to think scientifically about some issues. Especially not in public.</p>
<hr>
<p>IN CLOSING: WHO DAMAGED SCIENCE?</p>
<p>According to the media and members of the scientific community, James Watson hurt science itself.</p>
<p>An editorial in the top science journal Nature asserted:</p>
<pre><code>Crass comments by Nobel laureates undermine our very ability to debate such issues, and thus damage science itself.
</code></pre>
<p>Similarly the Chicago Tribune featured this:</p>
<pre><code>“The damage to Watson’s legacy from his statements may be difficult to mend,” said Jerry Coyne, a professor of evolutionary genetics at the University of Chicago.
“He’s done tremendous damage to science, to himself and to social equality,” Coyne said. “It makes us all look bad.”
</code></pre>
<p>Along with E.O. Wilson, James Watson is perhaps the most distinguished living figure in American biology, and yet even he was not immune to immediate expulsion from the very lab he created and built up over 40 years of his life, and excommunication from the scientific establishment that celebrated him. All this for one crime: voicing scientific facts and hypotheses that made this community uncomfortable. The same personal and professional fate befell former Harvard president Larry Summers in 2005 for a purely academic discussion of females in science during an economics conference intended for discussing this very subject!</p>
<p>What effect will this continuing intellectual mob violence have on future and current scientists and researchers who want to freely study human genetics, cross-cultural psychology, sociology, or any discipline that may reveal similar facts that have the potential to cause their professional or personal destruction by an intellectual community that resembles the medieval church?</p>
<p>Those who punish, those who lie, those who silence, those who condemn, those who intimidate… they have corrupted science.</p>
<p>They have injured the intellectual openness, freedom, and fairness of our society and our institutions, with untold costs to our collective human well-being.</p>
<p>Not James D. Watson.</p>
<hr>
<p>APPENDIX I</p>
<p>WEST AFRICA</p>
<p>Cameroon
IQ: 64
Age: Adults
N: 80
Test: CPM
Ref: Berlioz, L. (1955). Etude des progressive matrices faite sur les Africains de Douala. Bulletin du Centre Etude Recherce Psychotechnique, 4, 33-44.</p>
<p>Equatorial Guinea
IQ: 59
Age: 10-14
N: 48
Test: WISC-R
Ref: Fernandez-Bellesteros, R., Juan-Espinoza, M., Colom, R., and Calero, M. D. (1997). Contextual and personal sources of individual differences in intelligence. In J. S. Carlson (Ed.), Advances in Cognition and Educational Practice. Greenwich, Cnn.: JAI Press.</p>
<p>Ghana
IQ: 67
Studies: 4</p>
<p>IQ: 80
Age: Adults
N: 225
Test: CF
Ref: Buj, V. (1981). Average IQ values in various European countries. Personality and Individual Differences, 2, 168-169.</p>
<p>IQ: 62
Age: 15
N: 1,693
Test: CPM
Ref: Glewwe, P. and Jaccoby, H. (1992). Estimating the determinants of Cognitive Achievement in Low Income Countries. Washington, D.C.: World Bank.</p>
<p>IQ: 65 (266)
Age: 16
N: 5,100
Test: TIMSS 2003
Ref: Martin, M.O., Mullis, I.V.S., & Chrostowski, S.J. (Eds.) (2004). TIMSS 2003 Technical Report. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.</p>
<p>IQ: 67
TIMSS 2003: 266 (65)
TIMSS sum: 301
TIMSS+PIRLS sum: 304
Sum: 300</p>
<p>Guinea
IQ: 67
Studies: 2</p>
<p>IQ: 63
Age: 5-14
N: 50
Test: AAB
Ref: Nissen, H. W., Machover, S. and Kinder, E. F. (1935). A study of performance tests given to a group of native African Negro children. British Journal of Psychology, 25, 308-355.</p>
<p>IQ: 70
Age: Adults
N: 1,144
Test: SPM
Ref: Faverge, J. M. and Falmagne, J. C. (1962). On the interpretation of data in intercultural psychology. Psychologia Africana, 9, 22-96.</p>
<p>Nigeria
IQ: 69
Studies: 5</p>
<p>IQ: 70
Age: Children
N: 480
Test: Leone
Ref: Farron, O. (1966). The test performance of coloured children. Educational Research, 8, 42-57.</p>
<p>IQ: 64
Age: Adults
N: 86
Test: SPM
Ref: Wober, M. (1969). The meaning and stability of Raven’s matrices test among Africans. International Journal of Psychology, 4, 220-235.</p>
<p>IQ: 69
Age: 6-13
N: 375
Test: CPM
Ref: Fahrmeier, E. D. (1975). The effect of school attendance on intellectual development in Northern Nigeria. Child Development, 46, 281-285.</p>
<p>IQ: 79 (401)
Age: 15
N: 2,368
Test: IEA-R 1991
Ref: Elley, W. B. (1992). How in the world do students read? The Hague: IEA.</p>
<p>IQ: 69
ISARS: 34 (69)</p>
<p>Sierra Leone
IQ: 64
Studies: 2</p>
<p>IQ: 64
Age: Adults
N: 122
Test: CPM
Ref: Berry, J. W. (1966). Temne and Eskimo perceptual skills. International Journal of Psychology, 1, 207-229.</p>
<p>IQ: 64
Age: Adults
N: 33
Test: CPM
Ref: Binnie-Dawson, J. L. (1984). Biosocial and endocrine bases of spatial ability. Psychologia, 27, 129-151.</p>
<p>Benin
Burkina Faso
Chad
Cote d’Ivoire
Gabon
The Gambia
Guinea-Bissau
Liberia
Mali
Mauritania
Niger
Sao Tome and Principe
Senegal
Togo</p>
<p>CENTRAL AFRICA</p>
<p>Democratic Republic of Congo
IQ: 65
Studies: 5</p>
<p>IQ: 64
Age: Adults
N: 67
Test: SPM
Ref: Verhagen, P. (1956). Utilite actuelle des tests pour l’etude psychologique des autochones Congolese. Revue de Psychologie Appliquee, 6, 139-151.</p>
<p>IQ: 68
Age: 10-15
N: 222
Test: SPM
Ref: Laroche, J. L. (1959). Effets de repetition du Matrix 38 sur les resultats d’enfants Katangais. Bulletin du Centre detudes et Reserches Psychotechniques, 1, 85-99.</p>
<p>IQ: 62
Age: 8
N: 47
Test: KABC
Ref: Boivin, M. J. and Giordani, B. (1993). Improvements in cognitive performance for schoolchildren in Zaire following an iron supplement and treatment for intestinal parasites. Journal of Pediatric Psychology, 18, 249-264.</p>
<p>IQ: 68
Age: 7-12
N: 95
Test: LABC
Ref: Boivin, M. J., Giordani, B., and Bornfeld, B. (1995). Use of the tactual performance test for cognitive ability testing with African children. Neuropsychology, 9, 409-417.</p>
<p>IQ: 65
Age: 7-9
N: 130
Test: KABC
Ref: Giordani, B., Boivin, M. J., Opel, B., Nseyila, D. N., and Lauer, R. E. (1996). Use of the K-ABC with children in Zaire. International Journal of Disability, Development, and Education, 43, 5-24.</p>
<p>Republic of Congo
IQ: 64
Studies: 3</p>
<p>IQ: 64
Age: Adults
N: 1,596
Test: SPM
Ref: Latouche, G. L. and Dormeau, G. (1956). La foration professionelle rapide en Afrique Equatoriale Francaise. Brazzaville: Centre d’Etude des Problems du Travail.</p>
<p>IQ: 64
Age: 17-29
N: 320
Test: SPM
Ref: Ombredane, A., Robaye, F., and Robaye, E. (1952). Analyse des resultats d’une application experimentale du matrix 38 a 485 noirs Baluba. Bulletin Centre d’etudes et Reserches Psychotechniques, 7, 235-255.</p>
<p>IQ: 73
Age: 8
N: 73
Test: SPM
Ref: Nkaye, H. N., Huteau, M., and Bonnet, J. P. (1994). Retest effect on cognitive performance on the Raven Matrices in France and in the Congo. Perceptual and Motor Skills, 78, 503-510.</p>
<p>Central African Republic
IQ: 64
Age: Adults
N: 1,149
Test: SPM
Ref: Latouche, G. L. and Dormeau, G. (1956). La foration professionelle rapide en Afrique Equatoriale Francaise. Brazzaville: Centre d’Etude des Problems du Travail.</p>
<p>Rwanda
Burundi</p>
<p>EAST AFRICA</p>
<p>Sudan
IQ: 71
Studies: 4</p>
<p>IQ: 69
Age: 7-16
N: 291
Test: Various
Ref: Fahmy, M. (1964). Initial exploring of the intelligence of Shilluk children. Vita Humana, 7, 164-177.</p>
<p>IQ: 64
Age: 6
N: 80
Test: DAM
Ref: Badri, M. B. (1965a). The use of finger drawing in measuring the Goodenough quotient of culturally deprived Sudanese children. Journal of Psychology, 59, 333-334.</p>
<p>IQ: 74
Age: 9
N: 292
Test: DAM
Ref: Badri, M. B. (1965b). Influence of modernization on Goodenough quotients of Sudanese children. Perceptual and Motor Skills, 20, 931-932.</p>
<p>IQ: 72
Age: 8-12
N: 148
Test: SPM
Ref: Ahmed, R. A. (1989). The development of number, space, quantity, and reasoning concepts in Sudanese schoolchildren. In L. L. Adler (Ed.), Cross Cultural Research in Human Development. Westport, Conn.: Praeger.</p>
<p>Kenya
IQ: 72
Studies: 6</p>
<p>IQ: 69
Age: Adults
N: 205
Test: CPM
Ref: Boissiere, M., Knight, J. B., and Sabot, R. H. (1985). Earnings, schooling, ability, and cognitive skills. American Economic Review, 75,1016-1030.</p>
<p>IQ: 75
Age: 6-10
N: 1,222
Test: CPM
Ref: Costenbader, V. and Ngari, S. M. (2000). A Kenya standardisation of the Coloured Progressive Matrices. School Psychology International, 22, 258-268.</p>
<p>IQ: 69
Age: 12-15
N: 85
Test: CPM-MH
Ref: Sternberg, R. J., Nokes, C., Geissler, P. W., Prince, R., Okatcha, F., Bundy, D. A., and Grigorenko, E. L. (2002). The relationship between academic and practical intelligence: A case study in Kenya. Intelligence, 29, 401-418.</p>
<p>IQ: 76
Age: 7
N: 118
Test: CPM
Ref: Daley, Y. C., Whaley, S. E., Sigman, M. D., Espinosa, M. P., and Neuman, C. (2003). IQ on the rise: the Flynn effect in rural Kenyan children. Psychological Science, 14, 215-219.</p>
<p>IQ: 89
Age: 7
N: 537
Test: CPM
Ref: Daley, Y. C., Whaley, S. E., Sigman, M. D., Espinosa, M. P., and Neuman, C. (2003). IQ on the rise: the Flynn effect in rural Kenyan children. Psychological Science, 14, 215-219.</p>
<p>IQ: 63
Age: 6
N: 184
Test: KABC
Ref: Holding, P. A., Taylor, H. G., Kazungu, S. D., and Mkala, T. (2004). Assessing cognitive outcomes in a rural African population: development of a neuropsychological battery in Kilifi district. Journal of the International Neuropsychological Society, 10, 246-260.</p>
<p>Tanzania
IQ: 72
Studies: 3</p>
<p>IQ: 78
Age: 13-17
N: 2,959
Test: SPM
Ref: Klingelhofer, E. L. (1967). Performance of Tanzanian secondary school pupils on the Raven Standard Progressive Matrices test. Journal of Social Psychology, 72, 205-215.</p>
<p>IQ: 65
Age: Adults
N: 179
Test: CPM
Ref: Boissiere, M., Knight, J. B., and Sabot, R. H. (1985). Earnings, schooling, ability,and cognitive skills. American Economic Review, 75,1016-1030.</p>
<p>IQ: 72
Age: 11-13
N: 458
Test: WCST
Ref: Sternberg, R. J., Grigorenko, E. L., Ngorosho, D., Tantufuye, E., Mbise, A., Nokes, C., Jukes, M., and Bundy, D. A. (2002). Assessing intellectual potential in rural Tanzanian school children. Intelligence, 30, 141-162.</p>
<p>Uganda
IQ: 73
Age: 11
N: 2,019
Test: RPM
Ref: Heyneman, S. P. and Jamison, D. T. (1980). Student learning in Uganda. Comparative Education Review, 24, 207-220.</p>
<p>Ethiopia
IQ: 64
Studies: 2</p>
<p>IQ: 65
Age: 15
N: 250
Test: SPM
Ref: Lynn, R. (1994). The intelligence of Ethiopian immigrant and Israeli adolescents. International Journal of Psychology, 29, 55-56.</p>
<p>IQ: 63
Age: 14-16
N: -
Test: SPM
Ref: Kazulin, A. (1998). Profiles of immigrant students’ cognitive performance on Raven’s Progressive Matrices. Perceptual and Motor Skills, 87, 1311-1314.</p>
<p>Djibouti
Eritrea
Somalia</p>
<p>SOUTHERN AFRICA</p>
<p>Botswana
IQ: 76
Studies: 2</p>
<p>IQ: 77 (366)
Age: 15
N: 5,150
Test: TIMSS 2003
Ref: Martin, M.O., Mullis, I.V.S., & Chrostowski, S.J. (Eds.) (2004). TIMSS 2003 Technical Report. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.</p>
<p>IQ: 75 (330)
Age: 15
N: 4,768
Test: IEA-R 1991
Ref: Elley, W. B. (1992). How in the world do students read? The Hague: IEA.</p>
<p>TIMSS sum: 396
TIMSS+PIRLS sum: 398
Sum: 391</p>
<p>Mozambique
IQ: 62
Studies: 2</p>
<p>IQ: 64
Age: 20
N: 149
Test: CPM
Ref: Kendall, I. M. (1976). The predictive validity of a possible alternative to the Classification Test Battery. Psychologia Africana, 16, 131-146.</p>
<p>IQ: 60
ISAMS: 24 (60)</p>
<p>South Africa (blacks)
IQ: 67
Studies: 13</p>
<p>IQ: 63
Age: 9
N: 350
Test: SPM
Ref: Lynn, R. and Holmshaw, M. (1990). Black-white differences in reaction times and intelligence. Social Behavior and Personality, 18, 299-308.</p>
<p>IQ: 67
Age: 8-10
N: 806
Test: CPM
Ref: Jinabhai, C. C., Taylor, M., Rangongo, N. J., Mkhize, S., Anderson, S., Pillay, B. J., and Sullivan, K. R. (2004). Investigating the mental abilities of rural primary school children in South Africa. Ethnicity and Health, 9, 17-36.</p>
<p>IQ: 67
Age: 14-17
N: 152
Test: WISC-R
Ref: Skuy, M., Schutte, E., Fridjhon, P., and O’Carroll, S. (2001). Suitability of published neuropsychological test norms for urban African secondary school students in South Africa. Personality and Individual Differences, 30, 1413-1425.</p>
<p>IQ: 65
Age: 10-12
N: 293
Test: AAB
Ref: Fick, M. L. (1929). Intelligence test results of poor white, native (Zulu), colored, and Indian school children and the social and educational implications. South Africa Journal of Science, 26, 904-920.</p>
<p>IQ: 75
Age: 8-16
N: 1,008
Test: SPM
Ref: Notcutt, B. (1950). The measurement of Zulu intelligence. Journal of Social Research, 1, 195-206.</p>
<p>IQ: 69
Age: Adults
N: 153
Test: WAIS-R
Ref: Nell, V. (2000). Cross-Cultural Neuropsychological Assessment. Mahwah, NJ: Lawrence Erlbaum.</p>
<p>IQ: 64
Age: Adults
N: 703
Test: SPM
Ref: Notcutt, B. (1950). The measurement of Zulu intelligence. Journal of Social Research, 1, 195-206.</p>
<p>IQ: 71
Age: Adults
N: 140
Test: WISC-R
Ref: Avenant, T. J. (1988). The Establishment of an Individual Intelligence Scale for Adult South Africans. Report No. P-91. Pretoria: Human Sciences Research Council.</p>
<p>IQ: 68
Age: 15-16
N: 1,093
Test: JAT
Ref: Lynn, R., and Owen, K. (1994). Spearman’s hypothesis and test score differences between whites, Indians and blacks in South Africa. Journal of General Psychology, 121, 27-36.</p>
<p>IQ: 63
Age: 16
N: 1,096
Test: SPM
Ref: Owen, K. (1992). The suitability of Raven’s Progressive Matrices for various groups in South Africa. Personality and Individual Differences, 13, 149-159.</p>
<p>IQ: 64 (259)
Age: 16
N: 8,146
Test: TIMSS 1999
Ref: Martin, M. O., Gregory, K. D., & Stemler, S. E. (Eds.) (2000). TIMSS Technical Report: IEA’s Third International Mathematics and Science Study at the Eighth Grade (Boston, Intrenational study Center, Boston College).</p>
<p>IQ: 63 (254)
Age: 15
N: 8,952
Test: TIMSS 2003
Ref: Martin, M.O., Mullis, I.V.S., & Chrostowski, S.J. (Eds.) (2004). TIMSS 2003 Technical Report. Chestnut Hill, MA: TIMSS & PIRLS International Study Center, Boston College.</p>
<p>IQ: 69
TIMSS 1995: 270
TIMSS 1999: 259 (64)
TIMSS 2003: 254 (63)
TIMSS sum: 304
TIMSS+PIRLS sum: 328
Sum: 324</p>
<p>Swaziland
IQ: 64
ISAMS: 32 (64)</p>
<p>Zambia
IQ: 71
Studies: 2</p>
<p>IQ: 77
Age: 13
N: 759
Test: SPM
Ref: MacArthur, R. S., Irvine, S. H., and Brimble, A. R. (1964). The Northern Rhodesia Mental Ability Survey. Lusaka: Rhodes Livingstone Institute.</p>
<p>IQ: 64
Age: Adults
N: 152
Test: SPM
Ref: Pons, A. L. (1974). Administration of tests outside the cultures of their origin. 26th Congress of the South African Psychological Association.</p>
<p>Zimbabwe
IQ: 70
Studies: 3</p>
<p>IQ: 61
Age: 12-14
N: 204
Test: WISC-R
Ref: Zindi, F. (1994). Differences in psychometric performance. The Psychologist, 7, 549-552.</p>
<p>IQ: 70
Age: 12-14
N: 204
Test: SPM
Ref: Zindi, F. (1994). Differences in psychometric performance. The Psychologist, 7, 549-552.</p>
<p>IQ: 76 (372)
Age: 16
N: 2,749
Test: IEA-R 1991
Ref: Elley, W. B. (1992). How in the world do students read? The Hague: IEA.</p>
<p>Angola
Lesotho
Malawi
Namibia</p>