Project

World's IQ

Goal: This project is about a revision and extension of the national IQ dataset created by Lynn & Vanhanen (2002, 2012). The principal aims are a reestimation of national IQs by using strictly standardized methodes, ensuring the traceability of calculations and estimations, an expanding the dataset to more nations, (sub)populations and sources. A public documentation of the course of the project is to be made here on Researchgate to increase transparency, attantion and thus also contribution by interested people.

References:

Lynn, R., & Vanhanen, T. (2002). IQ and the Wealth of Nations. Westport, Connecticut: Praeger.

Lynn, R., & Vanhanen, T. (2012). Intelligence. A Unifying Construct for the Social Sciences. London: Ulster Institute for Social Research.

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David Becker
added an update
Corresponding author: David Becker
Department of Psychology
Chemnitz University of Technology
Wilhelm-Raabe-Str. 43
D-09107 Chemnitz
Please cite: Becker, D. (2019). The NIQ-dataset (V1.3.3). Chemnitz, Germany.
 
Congratulations! my best wishes
 
David Becker
added an update
Changes from V1.3.1 to V1.3.2 (completet: March 26, 2019):
- Manual:
- Errors eliminated: PISA2012SCI: M=514.13 (not 414.13)
CPM-Standardization GBR(1938) with source Raven (1941) corrected to GBR(1947) with source Raven (1965)
- File (structure):
- [FAV]: descriptive statistics corrected
- [REC]: connected to [SEL]
connected to [CAL]
connected to [STAT(REC)]
connected to [FEC]
- [SEL]: Table included
primary function: filter
connected to [REC]
connected to [NAT]
- [ALT]: Table excluded
- [NAT]: connected to [INF]
connected to [FAV]
connected to [FEC]
connected to [STAT(NAT)]
- [ADDVAR]: Table excluded
integrated into [NAT]
- [STATCOR(REC)]: Table excluded
- [STATCOR(NAT)]: Table excluded
- [STATCOR(SEL)]: Table splitted into [STAT(REC)] and [STAT(NAT)]
- [STAT(REC)]: connected to [REC]
- [STAT(NAT)]: connected to [NAT]
- Errors eliminated: [GEO] -> formula error in 'Korea, North' (K;97)
- File (countries): added Benin
added Djibouti
- File (samples):
- BEN3861: added 'Bakhiet, Becker & Lynn (2019)'
- HTI5439: corrected [N (ind.)] from '162.00' to '54.00"
corrected [Year (std.)] from '2007' to '1947'
corrected [Raw-score (uncor.)] from '18.15' to '55.00'
corrected [Raw-score (cor.)] from '18.15' to '15.48'
- IDN4551: corrected [Year (std.)] from '1938' to '1947'
- JPN7482: added 'Takeuchi et al. (2015, Table 1)'
- SDN1289: corrected [N (ind.)] from '6722' to '4011.58'
- SDN5704: corrected [N (ind.)] from '6722' to '2865.42'
- SDN1007: excluded 'Dutton et al. (2017)'
listed twice: 'SDN1352' in 'Khaleefa et al. (2008b)'
- SDN1298: excluded 'Dutton et al. (2017)'
listed twice: 'SDN7769' in 'Khaleefa et al. (2008b)'
- SDN4915: added 'Husain et al. (2019)'
- THA7341: corrected [Year (std.)] from '1938' to '1947'
- File (variables): added [Christians (%)]
added [Catholic Christians (%)]
added [Protestant/Reformed Christians (%)]
added [Orthodox Christians (%) Muslims (%)]
added [Sunni Muslims (%)]
added [Shiite Muslims (%)]
added [Median age (2003)] - [Median age (2017)]
added [Birth rate (Births/1,0000 pop.) (2000)] - [Birth rate (Births/1,0000 pop.) (2016)]
excluded [DEATH RATE(DEATHS/1,000 POPULATION)]
added [Total Fertility Rate (2000)] - [Total Fertility Rate (2017)]
added [Child labor - children ages 5 - 14 (2013)] - [Child labor - children ages 5 - 14 (2017)]
added [y-HG-Freq. HGSP]
added [y-HG-Freq. HGSN]
added [Mother's mean age at first birth (2013)] - [Mother's mean age at first birth (2017)]
added [Consanguinity (%)]
added [HDI (1990)] - [HDI (2017)]
added [Inequality-adjusted HDI (2010)] - [Inequality-adjusted HDI (2017)]
added [Children under the age of 5 years underweighted (2011)] - [Children under the age of 5 years underweighted (2017)]
 
David Becker
added an update
Changes from V1.3 to V1.3.1 (completet: August 23, 2018):
- [NAT]: Var. [Combi] changed to [IQ(L&V12)-NIQ]
- [NAT]: Var. [Combi N(spl.)] changed to [|IQ(L&V12)-NIQ|]
- [REC]: For six samples number formats of variable [Mean age] were faulty and had to be corrected
- BLR7512: Sample excluded: Lynn et al. (2017) (errors reported by authors)
- KGZ2909: Sample excluded: Salahodjaev et al. (2017a) (errors reported by authors)
- UZB4429: Sample excluded: Salahodjaev et al. (2016) (errors reported by authors)
- GMB5362: faulty raw-score conversion detected and corrected
- GMB6388: faulty raw-score conversion detected and corrected
- GMB4394: faulty raw-score conversion detected and corrected
- GMB6696: faulty raw-score conversion detected and corrected
- NGA6402: [IQ (uncor.)] corrected from '80.00' to '87.50'
 
David Becker
added an update
The final version 1.3 of the NIQ-Dataset includes the dataset, a manual and an update-list. Further material will be handed in to a later time.
Correctum:
A wrong connection caused an error in the FAV-Table.
I re-uploaded a corrected zip-File at July, 28, 11:26.
 
David Becker
added a research item
Mankind’s IQ is 84 to 88: Some (provisional) reports from THE NIQ-DATASET V1.3 David Becker Department of Psychology, Chemnitz University of Technology, Germany Wilhelm-Raabe-Str. 43, D-09107 Chemnitz, Germany E-mail: david.becker@s2009.tu-chemnitz.de Abstract: Since the latest report at the London Conference on Intelligence in 2017, the project about a new edition of Lynn and Vanhanen’s 2002 and 2012 estimates of the IQs of nations ran through many steps of improvement plus extension and is now just before reaching a significant state. A report of provisional findings should be given to the audience. This will include a collection of psychometric measured IQs for 125 nations from 325 sources, 566 samples and a total number of 627,098 individuals, gives a global mean IQ of 84.74 (88.17 if weighted for sample-size). After the extension and restructuring of the 2017th version, it is now possible to make deeper insights into the data structure, for instance: comparing measurements from Raven’s Progressive Matrices, Wechsler Intelligence Scales and Cattell’s Cultural Fair Tests as well as looking for contingent effects of sampling characteristics (e.g. year of measurement, sample size etc.) on calculated IQs. Correlation analyzes show that such possible effects are limited to only a few variables (year of measurement, year of standardization of used test) and weightings for sample size and/or data-quality did not do any remarkable changes. Some important correlates from education, economics, demographics, geography, health, psychology, human development, politics and biology will be additionally shown. Keywords: cross-national; IQ; FLynn-Effect; sampling bias; correlates Sources: Lynn, R., & Vanhanen, T. (2002). IQ and the Wealth of Nations. Westport, CT: Praeger. Lynn, R., & Vanhanen, T. (2012). Intelligence: A Unifying Construct for the Social Sciences. London: Ulster Institute for Social Research.
David Becker
added an update
David Becker
added an update
David Becker
added an update
Blogpost from 6. December 2017
 
David Becker
added an update
THE NIQ-DATASET (V1.2)
__________________________________________________________________________________________________
Corresponding author: David Becker
Department of Psychology, Chemnitz University of Technology
Wilhelm-Raabe-Str. 43, D-09107 Chemnitz, Germany
__________________________________________________________________________________________________
Last update: November 30, 2017
__________________________________________________________________________________________________
PREFACE
This dataset "THE NIQ-DATASET (V1.2)" based on a revision of working notes from Richard Lynn used for IQs of nations in Lynn and Vanhanen (2002, 2012).
The main objectives of this revision are to verify the original data, achieve greater transparency, make methods and calculations more comprehensible and standardized.
It is also intended to continue the collection of data and keep methods and calculations up to date according to the latest state of research.
Tables were constructed in order to offer users the widest possible variety of variables for their individual purposes and trust in the collected data.
__________________________________________________________________________________________________
V1.1 to V1.2
- Completet: November 27, 2017
- General: Restructuring of collected data
- Lowest data-level now based on samples instead of sources (references)
- Some samples splitted in more homogeneous sub-samples
- Addition of many new variables (e.g. lowest age, highest age, sample rating, uncorrected raw-scores etc.)
- General: Estimations of FLynn-Effect now differentiating between test-types
- General: Remove of all L&Vo-variables for the sake of simplification
- General: Remove of norm-tables for the sake of simplification (numbers now in the table: CONV-FORMULAS)
- AGO7765: new sample added to COLLEC: Peixoto & Kalei (2013)
- AUT6231: new sample added to COLLEC: Neubauer, Bauer & Huller (1992)
- BEL2726: new sample added to COLLEC: Charlemaine & Pons (1998)
- BEL4233: new sample added to EXCLUD: Facon et al. (2011)
- BEL1938: new sample added to EXCLUD: Facon et al. (2011)
- CAN3009: new sample added to COLLEC: Dutton & Lynn (2014)
- ESP5392: new sample added to COLLEC: Estrada et al. (2015)
- EST4281: new sample added to COLLEC: Lynn, Pullmann & Allik (2003)
- KHM9181: new sample added to COLLEC: Janssen & Geiser (2012)
- KHM2931: new sample added to EXCLUD: Clarke et al. (1993)
- DEU3018: new sample added to COLLEC: Janssen & Geiser (2012)
- DEU3866: new sample added to COLLEC: Goldbeck et al. (2010)
- DEU6390: new sample added to COLLEC: Kalisch et al. (2012)
- DEU1378: new sample added to COLLEC: Korsch et al. (2013)
- DEU4523: new sample added to COLLEC: Lepach et al. (2015)
- GBR5811: sample moved from COLLEC to EXCLUD: Raven, Raven, & Court (2006)
- GBR2836: sample moved from COLLEC to EXCLUD: Raven, Raven, & Court (2006)
- IRQ8231: sample moved from COLLEC to EXCLUD: Kira et al. (2014)
- KHM2888: new sample added to COLLEC: Fergusson, Bonshek & Le Masson (1995)
- POL6614: new sample added to COLLEC: Chuderski (2015)
- ROU9201: sample excluded: Dobrean et al. (2008)
-> duplication of Iliescu et al. (2016)
- ROU9824: sample excluded: Dobrean et al. (2008)
-> duplication of Iliescu et al. (2016)
- SSD8991: new sample added to COLLEC: Ahmed (2012)
- SSD3712: new sample added to COLLEC: Ahmed (2012)
- SSD1077: sample moved from COLLEC to EXCLUD: Osman et al. (2017a)
- SSD2648: sample moved from COLLEC to EXCLUD: Osman et al. (2017a)
- USA5677: new sample added to COLLEC: Nichols & Anderson (1973)
- USA1451: new sample added to COLLEC: Nichols & Anderson (1973)
- USA7344: new sample added to COLLEC: Nichols & Anderson (1973)
- USA2277: new sample added to COLLEC: Nichols & Anderson (1973)
- USA4922: new sample added to COLLEC: Christiansen & Livermore (1970)
- USA5612: new sample added to COLLEC: Christiansen & Livermore (1970)
- USA6430: new sample added to COLLEC: Valencia, Rankin & Livingston (1995)
- USA1919: new sample added to COLLEC: Valencia, Rankin & Livingston (1995)
- USA3485: new sample added to COLLEC: Hambleton, Merenda & Spielberger (2005)
- USA6712: new sample added to COLLEC: Beam et al. (2015)
- USA2938: new sample added to COLLEC: Beam et al. (2015)
- USA8445: new sample added to COLLEC: Beaver et al. (2013)
- USA8815: new sample added to COLLEC: Beaver et al. (2013)
- USA8711: new sample added to COLLEC: Bishop et al. (2003)
- USA1726: new sample added to COLLEC: Bishop et al. (2003)
- USA5433: new sample added to COLLEC: Bishop et al. (2003)
- USA3100: new sample added to COLLEC: Bishop et al. (2003)
- USA6185: new sample added to COLLEC: Canfield et al. (2003)
- USA3444: new sample added to COLLEC: Canfield et al. (2003)
- USA6185: new sample added to COLLEC: Canfield et al. (2003)
- USA8156: new sample added to COLLEC: Canfield et al. (2003)
- USA3377: new sample added to COLLEC: Raven, Raven, & Court (2006)
- USA2488: new sample added to COLLEC: Connelly (1983)
 
David Becker
added an update
THE NIQ-DATASET (V1.1)
______________________________________________________________________________
Corresponding author: David Becker
Department of Psychology, Chemnitz University of Technology
Wilhelm-Raabe-Str. 43, D-09107 Chemnitz, Germany
______________________________________________________________________________
Last update: October 22, 2017
______________________________________________________________________________
PREFACE
This dataset "THE NIQ-DATASET (V1.1)" based on a revision of working notes from Richard Lynn used for IQs of nations in Lynn and Vanhanen (2002, 2012).
The main objectives of this revision are to verify the original data, achieve greater transparency, make methods and calculations more comprehensible and standardized.
It is also intended to continue the collection of data and keep methods and calculations up to date according to the latest state of research.
Tables were constructed in order to offer users the widest possible variety of variables for their individual purposes and trust in the collected data.
______________________________________________________________________________
SUMMARY OF MAIN CHANGES FROM 1.0 TO 1.1
- Number of studies included/reestimated has increased
- Formerly ignored scores from Raven's Tests for age-groups without age-norms now converted to scores for Raven's Tests with matching age-norms
- References to raw-score-tables for Raven's Tests and WISC-R (German version) replaced by conversion-formulas
- Conversion-formulas estimated by using norm-tables from manuals (Raven, 1981; Raven, 2008a,b; Raven, Raven & Court, 1998; Petermann & Petermann, 2011)
- Descriptive and correlation analyzes in this manual
______________________________________________________________________________
RECOMMENDATIONS FOR USE
For users who want quick access to IQ lists the table "FAVORITES" is recommended.
It contains the final estimated national IQ-scores without additional information.
National IQ-scores in column D (IQ(DB)) based solely on data, repeatedly sighted and partly recalculated by David Becker.
For these scores the highest possible amount of additional information is provided.
Therefore, these scores are best suited to those who want to focus on rechecked and data from transparent and highly standardized methods.
National IQ-scores in column E (IQ(L&V)) were taken from the latest version of the dataset from Lynn and Vanhanen (2012, Table 2.1).
All necessary corrections were done by Lynn & Vanhanen without revision by David Becker.
Therefore, these scores are best suited to those who prefere to use original instead of revisited data, and the highest possible number of sources per nation.
National IQ-scores in column F (M(DB,L&V)) were calculated by unweighted means of column D and E.
Therefore, these scores are best suited to those who prefere to use original and revisited data combined.
National IQ-scores in column G (IQ(L&Vo)) were calculated by David Becker as means from every single source which was not revisited.
All necessary corrections were done by Lynn and Vanhanen without revision by David Becker.
National IQ-scores in column H (M(DB,L&Vo)) were calculated as means from data in columns D and G, weighted by number of sources.
If National IQ-scores from columd D not given, national IQ-scores from column E used.
For these scores the highest possible number of sources was included in the table "RECORDS".
Therefore, these scores are best suited to those who focus on a compromise between quality and quantity.
The tables "COLLECTION" and "RECORDS" contain IQ-estimates at the source-level and background material for calculations and corrections.
A more differenciated view in national IQ-scores can be found in table "NATIONAL" including separated IQ-scores by type of test.
Here, revisited and original data were given and thus recommended for users who want to look beyond the mere national IQ-scores.
For all questions, uncertainties, comments, criticism, recommendations etc., please contact the corresponding author.
Chemnitz the 22nd of October, 2017.
______________________________________________________________________________
AKNOWLEDGEMENT
The author gives special thanks to Richard Lynn for his advice, trust and contribution of working material; to Heiner Rindermann for professional advice;
to James Thompson for organizational work; and to the Ulster Institute for Social Research for financial support.
______________________________________________________________________________
SOURCES/REFERENCES
- Flynn, J. R. (1984). The mean IQ of Americans: Massive gains 1932 to 1978. Psychological Bulletin, 95, 29-51. doi:10.1037/0033-2909.95.1.29
- Lynn, R. (1982). IQ in Japan and the United States shows a growing disparity. Nature, 297, 222-223. doi:10.1038/297222a0
- Lynn, R. & Vanhanen, T. (2002). IQ and the wealth of nations. Westport: Praeger.
- Lynn, R. & Vanhanen, T. (2012). Intelligence: A Unifying Construct for the Social Sciences. London: Ulster Institute for Social Research.
- Petermann, F.m & Petermann, U. (2011). Wechsler Intelligence Scale for Children. Frankfurt am Main: Pearson Assessment & Information GmbH.
- Pietschnig, J., & Voracek, M. (2015). One Century of Global IQ Gains: A Formal Meta-Analysis of the Flynn Effect (1909–2013). Perspectives on Psychological Science, 10, 282-306. doi:10.1177/1745691615577701
- Raven, J. (1981). Irish and British Standardisations. Oxford: Oxford Psychologist Press.
- Raven, J. (2008a). Coloured Progressive Matrices and Crichton Vocabulary Scale. London: Pearson.
- Raven, J. (2008b). Standard Progressive Matrices and Mill Hill Vocabulary Scale. London: Pearson.
- Raven, J., Raven, J. C., & Court, J. H. (1998). Manual for Raven's Progressive Matrices and Vocabulary Scales. Oxford: Oxford Psychologist Press.
- Rindermann, H., Stiegmaier, E.-M., & Meisenberg, G. (2014). Cognitive ability of preschool, primary and secondary school children in Costa Rica. Journal of Biosocial Science, 46, 1-30. doi:10.1017/S0021932014000066
- Wang, D., & Qian, M. (1997). The Combined Raven's Test for Children (CRT-C2) (2nd ed.). Tianjin: Tianjin Institute of Endocrine in Chinese.
 
David Becker
added an update
  • Third-degree polynomic formulas were designed for the purpose of smooth and stepless conversion of Raven's Matrices raw-scores into standardized IQ-scores.
  • Formulas were designed with MSExcel for every age-group with the aim of a correlation >.99 between IQ-scores reported by original Raven's Matrices manuals and results from the respective formula itself.
  • Best matches in IQ to raw-score trends were achieved by using third-degree polygonomic formulas (y=ax³+bx²+cx+d; x=raw scores; y=IQ), higher degrees caused severe deviations, especially in the upper ranges.
  • Norms for APM(GBR)1992 for 16.00y to 17.50y were supplemented by gradual completion of given values for age groups 15.50y and 18.00y.
  • Formulas from list are scheduled to replace cross-references to Raven norm tables in later versions of the NIQ-Dataset.
 
David Becker
added an update
V0.2 to V1.0
- General: L&V2 and 3PD-estimations excluded (only P&V remained but to "DB")
- General: column "Country of standardization" added
<- means country of test used for reestimation or country of test used in source in case of direct IQ
- General: column renamed: "ori-IQ" to "Record IQ (L&V)"
- General: column "Recalculated?" added
- General: Column renamed: "Calc.?" to "Special calculation?"
- General: original L&V-IQs included at the cross-national level if no records for a nation are available right now
- General: national correction for USA set to -2.5 according to Lynn and Vanhanen (2012)
- General: national correction for DEU set to -1.2 according to Lynn and Vanhanen (2012)
- General: national correction for CAN set to +0.4 according to Lynn and Vanhanen (2012)
- General: national correction for CHL set to -10.2 according to Lynn and Vanhanen (2012)
- General: national correction for FIN set to +0.9 according to Lynn and Vanhanen (2012)
- General: FLynn-Effect corrections made by GBR-model
-> replacement by models for other countries necessary in future steps
- 1 L&V-IQ 71.00 for Angola included in LEVEL(N)
- 2.1.2: record excluded: Flynn & Rossi-Casé (2012)
-> already integrated in 2.1.1
- 3 L&V-IQ 93.20 for Armenia included in LEVEL(N)
- 6 L&V-IQ 84.00 for Bahamas included in LEVEL(N)
- 7.1.1: new record added: Bakhiet & Lynn (2015e)
-> N-weighted reestimation
-> 91.88
- 7: new nation added: Bahrain
-> 91.88
- 8: L&V-IQ 81.00 for Bangladesh included in LEVEL(N)
- 9.1.1: new record added: Galler et al. (1987)
-> 90.04
- 9.1.2: new record added: Waber er al. (2014)
-> 98.55
- 9: new nation added: Barbados
-> 94.29
- 10: L&V-IQ 99.30 for Belgium included in LEVEL(N)
- 11.1.2: new record added: Sandoval et al. (1983)
-> 85.97
- 11: new nation added: Bermuda
-> 85.97
- 12.1.1: new record added: Virues-Ortega et al. (2011)
-> 92.62;
- 12: new nation added: Bolivia
-> 92.62
- 16: L&V-IQ 92.50 for Bulgaria included in LEVEL(N)
- 19: L&V-IQ 64.00 for Cameroon included in LEVEL(N)
- 20.1.5: new record added: Georgas et al. (2003)
-> 99.40
-> changes at level nation: missing data
- 20.1.6: new record added: Lange et al. (2005)
-> 92.62
-> 103.20
-> changes at level nation: 92.83 to 98.28
- 20.1.8: new record added: Bouchard et al. (2011)
-> 103.15
-> changes at level nation: 96.29 to 98.00
- 21: L&V-IQ 74.00 for Cayman Islands included in LEVEL(N)
- 21: L&V-IQ 64.00 for Central African Rep. included in LEVEL(N)
- 23.1.3: new record added: Rosas Diaz & Lynn (2016)
-> 90.13
-> changes at level nation: 88.93 to 89.53
- 25.1.1: new record added: Ortega (2011)
-> 88.38
- 25.1.2: new record added: Leon et al. (1975)
-> 69.79
- 25: new nation added: Colombia
-> 79.09
- 26: L&V-IQ 73.00 for Congo - Braz included in LEVEL(N)
- 28: L&V-IQ 89.00 for Cook Isl. included in LEVEL(N)
- 30: L&V-IQ 97.80 for Croatia included in LEVEL(N)
- 32: L&V-IQ 98.90 for Czech Rep included in LEVEL(N)
- 35: L&V-IQ 82.00 for Dominican Republic included in LEVEL(N)
- 37.1.7: new record added: Wachs al. (1995)
-> 57.08
-> changes at level nation: 82.17 to 75.89
- 41: L&V-IQ 85.00 for Fiji included in LEVEL(N)
- 42.1.2: new record added: Roivainen (2010)
-> 97.29
-> changes at level nation: 102.58 to 99.94
- 42.1.3: new record added: Dutton et al. (2014)
-> changes at level nation: 99.94 to 100.08
- 43.1.5: new record added: Roivainen (2010)
-> 102.90
-> changes at level nation: 98.61 to 100.75
- 43.1.6: new record added: Georgas et al. (2003)
-> 100.40
-> changes at level nation: 100.75 to 100.63
- 45.1.11: new record added: Georgas et al. (2003)
-> 99.40
-> changes at level nation: 103.28 to 102.31
- 47.1.1: new record added: Fatouros (1972)
-> 83.56
- 47.1.2: new record added: Georgas et al. (2003)
-> 91.90
- 47: new nation added: Greece
-> 87.73
- 48: L&V-IQ 91.00 for Greenland included in LEVEL(N)
- 50: L&V-IQ 66.50 for Guinea included in LEVEL(N)
- 51: L&V-IQ 67.00 for Haiti included in LEVEL(N)
- 55.1.25: new record added: Afzal (1988)
-> 79.96
-> changes at level nation: 66.99 to 69.16
- 58.1.3: new record added: Kira et al. (2014)
-> 84.38
-> changes at level nation: 88.42 to 86.40
- 62: L&V-IQ 71.00 for Ivory Coast included in LEVEL(N)
- 63.1.6: new record added: Walker et al. (2000)
-> 63.62
-> changes at level nation: 73.32 to 71.38
- 64.1.2: new record adden: Lynn & Hampson (1986)
-> 103.74
-> changes at level nation: 110.76 to 107.25
- 64.1.3: new record adden: Georgas et al. (2003)
-> 94.90
-> changes at level nation: 107.25 to 103.13
- 68.1.3: new record added: Lynn et al. (2016)
-> 98.51
-> changes at level nation: 113.85 to 106.18
- 68.1.2: new record added: Georgas et al. (2003)
-> 100.40
-> changes at level nation: 106.18 to 104.25
- 71: L&V-IQ 89.00 for Laos included in LEVEL(N)
- 72: L&V-IQ 84.60 for Lebanon included in LEVEL(N)
- 73.1.8: new record added: Lynn et al. (2008b)
-> 76.11
-> changes at level nation: 80.64 to 79.89
- 74.1.3: new record added: Georgas et al. (2003)
-> 93.40
-> changes at level nation: 90.83 to 91.69
- 75: L&V-IQ 82.00 for Madagascar included in LEVEL(N)
- 76: L&V-IQ 60.10 for Malawi included in LEVEL(N)
- 78: L&V-IQ 59.60 for Mali included in LEVEL(N)
- 80: L&V-IQ 81.00 for Mariana Islands included in LEVEL(N)
- 81: L&V-IQ 84.00 for Marshall Islands included in LEVEL(N)
- 82: L&V-IQ 74.00 for Mauretanien included in LEVEL(N)
- 83.1.1: new record added: Liu et al. (2003)
-> 88.88
- 83: new nation added: Mauritius
-> 88.88
- 85: L&V-IQ 92.00 for Moldowa included in LEVEL(N)
- 88: L&V-IQ 69.50 for Mozambique included in LEVEL(N)
- 90: L&V-IQ 78.00 for Nepal included in LEVEL(N)
- 93: L&V-IQ 85.00 for New Caledonia included in LEVEL(N)
- 83.1.1: new record added: Belsky et al. (2013)
-> 97.46
-> changes at level nation: 100.80 to 99.13
- 91.1.3: new record added: Georgas et al. (2003)
-> 99.40
-> changes at level nation: 96.06 to 97.18
- 94.1.3: new record added: Fergusson & Horwood (1997)
-> 99.86
-> changes at level nation: 99.13;98.97;98.87 to 99.37;98.26;97.92
- 95: L&V-IQ 84.00 for Nicaragua included in LEVEL(N)
- 96.1.12: new record added: Rindermann et al. (2014b)
-> 95.11
-> changes at levels record and nation: 69.65 to 72.86
- 98: L&V-IQ 97.20 for Norway included in LEVEL(N)
- 101.1.3: new record added: Lieblich & Kugelmas (1981)
-> 81.96
-> changes at level nation: 79.87 to 80.57
- 102: L&V-IQ 80.00 for Panama included in LEVEL(N)
- 103: L&V-IQ 83.40 for Papua N. G. included in LEVEL(N)
- 104.1.1: new record added: Segura (2010)
-> 90.23
- 104: new nation added: Paraguay
-> 90.23
- 113: L&V-IQ 76.00 for Rwanda included in LEVEL(N)
- 117: L&V-IQ 70.50 for Senegal included in LEVEL(N)
- 118.1.8: new record added: Wasserman et al. (1997)
-> 72.81
-> changes at level nation: 94.16 to 89.89
- 119.1.1: new record added: Myers et al. (2003)
-> 79.10
- 119: new nation added: Seychelles
-> 79.10
- 120: L&V-IQ 64.00 for Sierra Leone included in LEVEL(N)
- 123.1.4: new record added: Georgas et al. (2003)
-> 95.40
-> changes at level nation: 96.33 to 96.02
- 124.1.2: new record added: Osman et al. (2017a)
-> 61.26
- 124: new nation added: South Sudan
-> 61.26
- 125.1.6: new record added: Roivainen (2010)
-> 94.10
-> changes at level nation: 86.36 to 90.23
- 127: L&V-IQ 62.00 for St.Lucua included in LEVEL(N)
- 128: L&V-IQ 71.00 for St.Vincent included in LEVEL(N)
- 129.1.11: new record added: Bakhiet & Lynn (2015h)
-> 76.85;71.67;71.70
-> changes at level nation: 78.03;73.79;73.23 to 77.88;73.53;73.04
- 130: L&V1-IQ 89.00 for Suriname included in LEVEL(N)
- 131.1.1: new record added: Georgas et al. (2003)
-> 99.40
- 131: new nation added: Sweden
-> 99.40
- 131: L&V-IQ 98.60 for Sweden included in LEVEL(N)
- 139: L&V-IQ 86.00 for Tonga included in LEVEL(N)
- 140: L&V-IQ 86.40 for Trinidad included in LEVEL(N)
- 141: L&V-IQ 85.40 for Tunisia included in LEVEL(N)
- 143: L&V-IQ 82.00 for Turks & Caicis Is. included in LEVEL(N)
- 148.1.3: new record added: Georgas et al. (2003)
-> 95.40
-> changes at level nation: 90.28 to 91.99
- 149: L&V-IQ 90.60 for Uruguay included in LEVEL(N)
- 151.1.1: new record added: Montiel-Naval (2008)
-> 81.07
- 151.1.2: new record added: Montiel-Naval et al. (2003)
-> 85.40
- 151.1.3 new record added: Montiel-Naval et al. (2005)
-> 81.03
- 151: new nation added: Venezuela
-> 82.50
- 152.1.2: record excluded: Watanabe et al. (2005)
-> unclear data
- 152.1.3: record excluded: Nga et al. (2011)
-> unclear data
- 152: problem: unclear data in all records
-> L&V1-IQ 94.00 for Vietnam included in LEVEL(N)
- 153: L&V-IQ 77.00 for Virgin Islands included in LEVEL(N)
- 154: L&V-IQ 88.00 for Western Samoa included in LEVEL(N)
- 156: L&V-IQ 74.00 for Zambia included in LEVEL(N)
- 157: L&V-IQ 72.10 for Zimbabwe included in LEVEL(N)
References/sources: see files
 
David Becker
added a project goal
This project is about a revision and extension of the national IQ dataset created by Lynn & Vanhanen (2002, 2012). The principal aims are a reestimation of national IQs by using strictly standardized methodes, ensuring the traceability of calculations and estimations, an expanding the dataset to more nations, (sub)populations and sources. A public documentation of the course of the project is to be made here on Researchgate to increase transparency, attantion and thus also contribution by interested people.
References:
Lynn, R., & Vanhanen, T. (2002). IQ and the Wealth of Nations. Westport, Connecticut: Praeger.
Lynn, R., & Vanhanen, T. (2012). Intelligence. A Unifying Construct for the Social Sciences. London: Ulster Institute for Social Research.
 
David Becker
added a research item
The dataset of national IQs presented by Richard Lynn and Tatu Vanhanen first in 2002 and most recently in 2012 was both frequently criticized and used in cross-national research. It has also become very popular in public discussions, for example in web forums, and thus well known to a broader audience. Because of this popularity, we consider it important that the dataset behind this list is maintained, continued and improved for future research. Furthermore, an improved transparency and traceability of the methods can be useful in communication of the results. For about a year a group of researchers decided to carry out this task, beginning with the collection, as much as was possible, of sources for national IQs, along with restructuring of the original work notes, which were shared willingly by Richard Lynn. In this talk we want to present the first results of this preliminary revision. All available sources which give raw scores for Raven’s Matrices were considered and all data were picked out which are necessary to understand the estimations and calculations from the raw scores to the final national IQ. This includes also a new and standardized estimation of the required Flynn Effect corrections, based on a meta-analysis conducted by Pietschnig and Voracek in 2015. Final and intermediate results were correlated with the original results as well as with common associated variables (PISA, TIMSS, GDP/C, latitude, skin color, etc.). The talk will include discussions about discrepancies between the original data and the revisit. Problems with our methods will be discussed, and their validity will be assessed. In addition, future plans –– further work on national IQ, and an open access online data set -- will be presented.
David Becker
added an update
Project goal
This project is about a revision and extension of the national IQ dataset created by Lynn & Vanhanen (2002, 2012). The principal aims are a reestimation of national IQs by using strictly standardized methodes, ensuring the traceability of calculations and estimations, an expanding the dataset to more nations, (sub)populations and sources. A public documentation of the course of the project is to be made here on Researchgate to increase transparency, attantion and thus also contribution by interested people.
References:
Lynn, R., & Vanhanen, T. (2002). IQ and the Wealth of Nations. Westport, Connecticut: Praeger.
Lynn, R., & Vanhanen, T. (2012). Intelligence. A Unifying Construct for the Social Sciences. London: Ulster Institute for Social Research.
Background and motivation
The original dataset of national IQs created by Richard Lynn and Tatu Vanhanen reached a lot of attention and is often used in cross-national studies about intelligence, its causes and effects. A continuation and improvement is therefore considered necessary as well as an public documentation.
On researchgate a monthly update of the project is to be represented. This includes sources, data, methods, results and discussions about occuring problems.