Talk:IQ and the Wealth of Nations
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Wicherts et al on African I.Q.s, Lynn Thesis
edithttp://www.sciencedaily.com/releases/2010/01/100121155220.htm
Controversial Study of African IQ Levels Is 'Deeply Flawed'
ScienceDaily (Jan. 21, 2010) - The controversial study on African IQ levels conducted by psychologist Richard Lynn is deeply flawed. This conclusion is the outcome of studies by Jelte Wicherts, Conor Dolan, Denny Borsboom and Han van der Maas of the University of Amsterdam (UvA) and Jerry Carlson of the University of California (Riverside).
Their findings are set to be published in Intelligence, Personality and Individual Differences, and Learning and Individual Differences.
In an oft-quoted literature study conducted in 2006, Lynn concluded that black Africans have an average IQ of less than 70 (compared to an average western IQ of 100). Lynn suggested that these low IQs are indicative of a low intelligence level, claiming this offered an explanation for the low level of economic development in sub-Saharan countries.
Lynn's study is well known among psychologists, and has been referenced by academics such as Nobel laureate James Watson, and the authors of the controversial book The Bell Curve -- Intelligence and Class Structure in America (Richard Herrnstein and Charles Murray: Freepress, 1994).
African IQ scores prove flawed
Wicherts and his colleagues examined over 100 published studies, concluding that there is no evidence to back up Lynn's claims. Amongst other flaws, Lynn used selective data by systematically ignoring Africans with high IQ scores. The researchers also claim that African IQ test scores cannot be interpreted in terms of lower intelligence levels, as these scores have different psychometric characteristics than western IQ test scores. Until now, the incomparability of Western and African IQ scores had never been systematically proven.
The scientists point out that the average African IQ is currently comparable to the average level in the Netherlands around 1950. However, IQ scores in Western countries have risen sharply over the course of the 20th century. In view of this trend, Wicherts and his colleagues claim there are no reasonable grounds to conclude that sub-Saharan countries are poor due to the lower IQ scores of their populations. As it turns out, the average IQ of African adults is seeing a similar rising trend, which is expected to continue if living conditions in Africa improve in future.
Story Source:
Adapted from materials provided by Universiteit van
Amsterdam (UVA).
Journal References:
[see below]
Personality and Individual Differences
Volume 48, Issue 2, January 2010, Pages 91-96
doi:10.1016/j.paid.2009.05.028
Copyright c 2009 Elsevier Ltd All rights reserved.
Review
Why national IQs do not support evolutionary theories of intelligence
Jelte M. Wicherts, Denny Borsbooma and Conor V. Dolana
aDepartment of Psychology, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands
Received 16 February 2009; revised 19 May 2009; accepted 26 May 2009. Available online 24 June 2009.
Abstract
Kanazawa (2008), Templer (2008), and Templer and Arikawa (2006) claimed to have found empirical support for evolutionary theories of race differences in intelligence by correlating estimates of national IQ with indicators of reproductive strategies, temperature, and geographic distance from Africa. In this paper we criticize these studies on methodological, climatic, and historical grounds. We show that these studies assume that the Flynn Effect is either nonexistent or invariant with respect to different regions of the world, that there have been no migrations and climatic changes over the course of evolution, and that there have been no trends over the last century in indicators of reproductive strategies (e.g., declines in fertility and infant mortality). In addition, we show that national IQs are strongly confounded with the current developmental status of countries. National IQs correlate with all the variables that have been suggested to have caused the Flynn Effect in the developed world.
Keywords: Evolutionary psychology; Flynn Effect; Race differences
Article Outline
1. Introduction 2. Temporal constancy over the course of evolution? 3. Climate change 4. Changes in reproductive strategies 5. Migration and geographic distance 6. The temporal stability of IQ-scores 7. The many confounds of national IQ 8. Method 9. Results 10. Discussion Acknowledgements References
Corresponding author. Tel.: +31 205257067.
Personality and Individual Differences
Volume 48, Issue 2, January 2010, Pages 104-106
doi:10.1016/j.paid.2009.08.020
Copyright c 2009 Elsevier Ltd All rights reserved.
Short Communication
Evolution, brain size, and the national IQ of peoples around 3000 years B.C
Jelte M. Wicherts a, Denny Borsboom a and Conor V. Dolan a
aUniversity of Amsterdam, Department of Psychology, Amsterdam, The Netherlands
Received 22 August 2009; accepted 26 August 2009. Available online 18 September 2009.
Abstract
In this rejoinder, we respond to comments by Lynn, Rushton, and Templer on our previous paper in which we criticized the use of national IQs in studies of evolutionary theories of race differences in intelligence. We reiterate that because of the Flynn Effect and psychometric issues, national IQs cannot be taken to reflect populations' levels of g as fixed since the last ice age. We argue that the socio-cultural achievements of peoples of Mesopotamia and Egypt in 3000 B.C. stand in stark contrast to the current low level of national IQ of peoples of Iraq and Egypt and that these ancient achievements appear to contradict evolutionary accounts of differences in national IQ. We argue that race differences in brain size, even if these were entirely of genetic origin, leave unexplained 91-95% of the black-white IQ gap. We highlight additional problems with hypotheses raised by Rushton and Templer. National IQs cannot be viewed solely in evolutionary terms but should be considered in light of global differences in socio-economic development, the causes of which are unknown.
Keywords: Evolutionary psychology; Flynn Effect; Race differences; Brain size
Article Outline
1. Introduction 2. IQ avant la lettre 3. Brain size 4. The Big picture 5. Conclusion Acknowledgements References
Corresponding author. Address: Department of Psychology, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands. Tel.: +31 205257067.
Intelligence
Volume 38, Issue 1, January-February 2010, Pages 1-20
doi:10.1016/j.intell.2009.05.002
Copyright c 2009 Elsevier Inc. All rights reserved.
A systematic literature review of the average IQ of sub-Saharan Africans
Jelte M. Wicherts, Conor V. Dolan a and Han L.J. van der Maas a
a Department of Psychology, Psychological Methods, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands
Received 8 October 2008; revised 6 May 2009; accepted 12 May 2009. Available online 9 June 2009.
Abstract
On the basis of several reviews of the literature, Lynn [Lynn, R., (2006). Race differences in intelligence: An evolutionary analysis. Augusta, GA: Washington Summit Publishers.] and Lynn and Vanhanen [Lynn, R., & Vanhanen, T., (2006). IQ and global inequality. Augusta, GA: Washington Summit Publishers.] concluded that the average IQ of the Black population of sub-Saharan Africa lies below 70. In this paper, the authors systematically review published empirical data on the performance of Africans on the following IQ tests: Draw-A-Man (DAM) test, Kaufman-Assessment Battery for Children (K-ABC), the Wechsler scales (WAIS & WISC), and several other IQ tests (but not the Raven's tests). Inclusion and exclusion criteria are explicitly discussed. Results show that average IQ of Africans on these tests is approximately 82 when compared to UK norms. We provide estimates of the average IQ per country and estimates on the basis of alternative inclusion criteria. Our estimate of average IQ converges with the finding that national IQs of sub-Saharan African countries as predicted from several international studies of student achievement are around 82. It is suggested that this estimate should be considered in light of the Flynn Effect. It is concluded that more psychometric studies are needed to address the issue of measurement bias of western IQ tests for Africans.
Keywords: Group differences; Black-White differences; Flynn Effect; Race differences; Cross-cultural comparison; National IQ
Article Outline
1. Scholastic achievement surveys 2. A systematic review of the literature 3. Method 3.1. Search of studies 3.2. Our inclusion criteria 3.2.1. Norms 3.2.2. Standardized test administration of entire IQ test 3.2.3. No reported problems during testing 3.2.4. No measurement bias 3.2.5. Normal samples 3.3. Statistical analyses 4. Results 4.1. Draw-a-Man test 4.2. Kaufman-Assessment Battery for Children 4.3. Wechsler Scales 4.4. Culture Fair Intelligence Test 4.5. Other IQ tests 4.6. Meta-analytic analyses 4.7. Publication bias 5. Conclusion Appendix A. Appendix References
Corresponding author. Tel.: +31 205257067; fax: +31 206390026.
Intelligence
Volume 38, Issue 1, January-February 2010, Pages 30-37
doi:10.1016/j.intell.2009.11.003
Copyright c 2009 Elsevier Inc. All rights reserved.
The dangers of unsystematic selection methods and the representativeness of 46 samples of African test-takers
Jelte M. Wicherts, Conor V. Dolan a and Han L.J. van der Maas a
a University of Amsterdam, The Netherlands Received 13 October 2009; accepted 6 November 2009. Available online 3 December 2009.
Abstract
In this rejoinder, we criticize Lynn and Meisenberg's (this issue) methods to estimate the average IQ (in terms of British norms after correction of the Flynn Effect) of the Black population of sub-Saharan Africa. We argue that their review of the literature is unsystematic, as it involves the inconsistent use of rules to determine the representativeness and hence selection of samples. Employing independent raters, we determined of each sample whether it was (1) considered representative by the original authors, (2) drawn randomly, (3) based on an explicated stratification scheme, (4) composed of healthy test-takers, and (5) considered by the original authors as normal in terms of Socio-Economic Status (SES). We show that the use of these alternative inclusion criteria would not have affected our results. We found that Lynn and Meisenberg's assessment of the samples' representativeness is not associated with any of the objective sampling characteristics, but rather with the average IQ in the sample. This suggests that Lynn and Meisenberg excluded samples of Africans who average IQs above 75 because they deemed these samples unrepresentative on the basis of the samples' relatively high IQs. We conclude that Lynn and Meisenberg's unsystematic methods are questionable and their results untrustworthy.
Keywords: Systematic literature review; National IQ; Group differences in IQ
Article Outline
1. Introduction 2. The full database 3. Inconsistent rules to determine representativeness 4. What is representative? 5. Conclusion Acknowledgements Appendix A. Supplementary data References
Corresponding author. Department of Psychology, Psychological Methods, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands. Tel.: +31 205257067; fax: +31 206390026.
Learning and Individual Differences
Article in Press, Corrected Proof - Note to users
doi:10.1016/j.lindif.2009.12.001
Copyright c 2009 Elsevier Inc. All rights reserved.
Raven's test performance of sub-Saharan Africans: Average5 performance, psychometric properties, and the Flynn Effect
Jelte M. Wicherts a, Conor V. Dolan a, Jerry S. Carlson b and Han L.J. van der Maas a
a Department of Psychology, Psychological Methods, University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands
b University of California, Riverside, United States
Received 19 May 2009; revised 19 November 2009; accepted 3 December 2009. Available online 16 December 2009.
Abstract
This paper presents a systematic review of published data on the performance of sub-Saharan Africans on Raven's Progressive Matrices. The specific goals were to estimate the average level of performance, to study the Flynn Effect in African samples, and to examine the psychometric meaning of Raven's test scores as measures of general intelligence. Convergent validity of the Raven's tests is found to be relatively poor, although reliability and predictive validity are comparable to western samples. Factor analyses indicate that the Raven's tests are relatively weak indicators of general intelligence among Africans, and often measure additional factors, besides general intelligence. The degree to which Raven's scores of Africans reflect levels of general intelligence is unknown. Average IQ of Africans is approximately 80 when compared to US norms. Raven's scores among African adults have shown secular increases over the years. It is concluded that the Flynn Effect has yet to take hold in sub-Saharan Africa.
Keywords: Black-White differences; Cognitive abilities; Cross-cultural comparison; Measurement equivalence; Measurement invariance
Article Outline
1. Introduction 2. Is average IQ of Africans really below 70? 2.1. Method 2.1.1. Selection bias 2.1.2. Search of studies 2.1.3. Exclusion criteria 2.1.4. Converting raw scores to IQ 2.2. Results 2.2.1. Raven's Standard Progressive Matrices 2.2.2. Coloured Progressive Matrices 2.3. Conclusion on the average IQ of Africans 3. The Flynn Effect 3.1. Flynn Effect in Africa 4. Measurement problems and psychometric comparability 4.1. Reliability 4.2. Convergent validity 4.3. Factor analytical results 4.4. Measurement invariance 4.5. Criterion validity in educational settings 4.6. Conclusion on psychometric properties 5. General discussion Acknowledgements Appendix A. Appendix
Converting raw scores to IQs
Appendix B. Appendix References
Corresponding author. Tel.: + 31 205257067; fax: + 31 206390026.
Mankind Quarterly
edituser:greyfell Could you please link to the discussion where Mankind Quarterly is deemed unreliable? 2600:1012:B06D:B5D5:1A6:42B5:C488:100A (talk) 22:42, 9 November 2019 (UTC)
Concerns about wholesale deletion of text without discussion
editI’ve noticed that some editors have been removing large blocks of information from the article without discussing first. In a potentially contentious article like this one, I would ask that the pending deletion at least be discussed in TALK before removing (BLP violations not withstanding). Any objections to this? Starcader (talk) 23:22, 9 November 2019 (UTC)
- Mankind Quarterly is absolutely not a reliable source, and Emil Kirkegaard is not a recognized expert in anything (and has also been banned from Wikipedia). This is all WP:FRINGE. There is nothing else that needs to be said, but take it to WP:RSN if you want to waste more people's time. Grayfell (talk) 00:18, 10 November 2019 (UTC)
- Can you please link to the discussion where Mankind Quarterly is found to be unreliable? Until then, the text should not have been reverted. 2600:1012:B06D:B5D5:1A6:42B5:C488:100A (talk) 00:37, 10 November 2019 (UTC)
- Here are past discussions on WP:RSN. It's been a long time, so we could start a new discussion there if you wanted, but I don't think you'd convince anyone it can be used for things like this. --Aquillion (talk) 03:06, 10 November 2019 (UTC)
- Thank you user: Aquillion Starcader (talk) 03:31, 10 November 2019 (UTC)
- Here are past discussions on WP:RSN. It's been a long time, so we could start a new discussion there if you wanted, but I don't think you'd convince anyone it can be used for things like this. --Aquillion (talk) 03:06, 10 November 2019 (UTC)
- Can you please link to the discussion where Mankind Quarterly is found to be unreliable? Until then, the text should not have been reverted. 2600:1012:B06D:B5D5:1A6:42B5:C488:100A (talk) 00:37, 10 November 2019 (UTC)
IQ and GDP per capita graph
editThis graph is patiently WP:SYNTH; it combines two separate data sources (IQ by country from worlddata.info, and GDP per capita from the IMF) in a way that leads the reader to a conclusion, outright describing the combination as just the synthesis made by a single editor. We cannot use that sort of thing in articles. EDIT: Also, I'm not sure that worlddata.info passes WP:RS; it appears to just be someone's personal website. Reading their description on here for the IQ data, though, they're using the list of estimated IQs from the book, which we're not allowed to reproduce here - I don't think putting it in graph form (synthesized with GDP) gets around the copyright issue. --Aquillion (talk) 03:41, 10 November 2019 (UTC)
Croatia
editPick another card, because this one is absolute rubbish!
Richard Lynn and Tatu Vanhanen used IQ tests of children aged between 13 and 16 years old from 1952. Very reputable both of them. Later they had to correct their data. Unfortunately, this information has already been spread by equally dubious authors in several books, for whatever reason. Now is the Average iq for Croatia 99.
Many of the most intelligent people in the world come from Croatia and you should accept that!
Three Croatians on the list of the smartest people alive today.
https://www.croatiaweek.com/3-croatians-make-30-smartest-people-alive-today-list/
The World Genius Directory Geniuses http://psiq.org/home.html
At least 7 Croats are among the 200 most intelligent people in the world. IQ Score: 192, 183, 180, 174, 163, 160, 151
Approximately 7 from Germany - 182 He is Turk not even a German, 165, 158, 156, 156, 153, 147
Approximatly 5 from France - 162, 158, 154, 150, 141
Approximatly 7 from the United Kingdom - 171, 167, 163, 153, 148, 144, 135
Approximatly 38 from Japan
Approximatly 30 from China
Approximatly 14 from Korea
Approximatly 21 from Italy
Four Croats have a higher IQ than the highest IQ-Score for Germany (182 is a Turk) and the United Kingdom and even five Croats have a higher IQ than the highest IQ-Score for France. — Preceding unsigned comment added by 212.25.6.141 (talk) 12:45, 19 May 2020 (UTC)
"List of nations by IQ" should not redirect here
editThe contents of this page are not nearly extensive enough to suffice for this redirect. Adding a list of countries by IQ would clutter this page, so removing the redirect is justified. Oro Temp (talk) 17:16, 4 November 2023 (UTC)