"Закон уменьшения отдачи" Спирмена: исследование на масштабных российских выборках

Автор: Сугоняев Константин Владимирович, Радченко Юрий Иванович

Журнал: Психология. Психофизиология @jpps-susu

Рубрика: Общая психология, психология личности, история психологии

Статья в выпуске: 1 т.11, 2018 года.

Бесплатный доступ

Снижение уровня корреляций между тестами способностей в группах с более высоким уровнем интеллекта было открыто Ч. Спирменом в 20-е годы прошлого века и получило в современной психологической литературе обозначение «закон уменьшения отдачи» Спирмена (SLODR). Многочисленные попытки подтвердить данный феномен за рубежом дали противоречивые результаты. В России подобных исследований до настоящего времени не проводилось. На двух масштабных выборках численностью 11335 и 11934 человека, выполнявших одну и ту же батарею тестов способностей, и характеризующихся высокой гомогенностью, было подтверждено наличие эффектов, постулированных Спирменом. Использованная в исследовании технология анализа данных позволила исключить артефактное происхождение выявленных зависимостей. Полученные данные свидетельствуют о том, что эффекты SLODR проявляют себя на уровне групповых факторов способностей и являются высоко воспроизводимыми. Предложены гипотезы относительно возможных причин отрицательных результатов, полученных некоторыми авторами, и рекомендации относительно возможных направлений будущих исследований.

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"закон уменьшения отдачи" спирмена (slodr), гипотеза дифференциации, общая когнитивная способность, фактор g, психометрические характеристики

Короткий адрес: https://sciup.org/147233024

IDR: 147233024   |   DOI: 10.14529/psy180101

Список литературы "Закон уменьшения отдачи" Спирмена: исследование на масштабных российских выборках

  • Методики военного профессионального психологического отбора: методическое пособие. М.: Военное изд-во, 2005. 524 с.
  • Методические указания по порядку разработки, экспертизы (оценки соответствия психометрическим требованиям), внедрения и использования методик профессионального психологического отбора в Вооруженных Силах Российской Федерации. М.: ВАГШ ВС РФ, 2014. 45 с.
  • Сугоняев, К.В. Анализ психометрических характеристик тестов, применяемых в отборе кандидатов на факультеты высшего профессионального образования вузов Минобороны России. I Всероссийский съезд психологов силовых структур Российской Федерации. Сборник материалов; под общ. ред. Ю.П. Зинченко, А.Г. Караяни, Ю.С. Шойгу. М.: НЦУКС МЧС России, 2013. С. 80-83.
  • Шмелев, А.Г. Практическая тестология. Тестирование в образовании, прикладной психологии и управлении персоналом / А.Г. Шмелев. М.: Маска, 2013. 688 с.
  • Шнайдер Б., Шмитт. Н. Персонал для организации: научный подход к поиску, отбору, оценке и удержанию сотрудников. СПб.: Экономическая школа, 2004. 560 с.
  • Abad F.J., Colom R., Juan-Espinosa M., Garcia L.F. Intelligence differentiation in adult samples // Intelligence, 2003, vol. 31, no. 2, pp. 157-166.
  • DOI: 10.1016/S0160-2896(02)00141-1
  • Ackerman P. A theory of adult intellectual development: Process, personality, interests, and knowledge // Intelligence, 1996, vol. 22, no. 2, pp. 227-257.
  • DOI: 10.1016/S0160-2896(96)90016-1
  • Arden R., Plomin R. Scant evidence for Spearman's law of diminishing returns in middle childhood // Personality and Individual Differences, 2007, vol. 42, no. 4, pp. 743-753.
  • DOI: 10.1016/j.paid.2006.08.010
  • Bishara, A.J., Hittner J.B. Confidence intervals for correlations when data are not normal // Behavior Research Methods, 2017, vol. 49, no. 1, pp. 294-309.
  • DOI: 10.3758/s13428-016-0702-8
  • Blanch A., García H., Llaveria A., Aluja A. The Spearman's law of diminishing returns in chess // Personality and Individual Differences, 2017, vol. 104, pp. 434-441.
  • DOI: 10.1016/j.paid.2016.09.003
  • Blum D., Holling H. Spearman's law of diminishing returns: A meta-analysis // Intelligence, 2017, vol. 65, pp. 60-66.
  • DOI: 10.1016/j.intell.2017.07.004
  • Brown K.G., Le H., Schmidt F.L. Specific aptitude theory revisited: Is there incremental validity for training performance? // International Journal of Selection and Assessment, 2006, vol. 14, no. 2, pp. 87-100.
  • DOI: 10.1111/j.1468-2389.2006.00336.x
  • Campbell J.P., Knapp D.J. (Eds.), Exploring the Limits in Personnel Selection and Classification. Mahwah, NJ: Lawrence Erlbaum Associates, Inc. 2001. 637 p.
  • Canali K., Legree P., Meaden J. Specific abilities may increment psychometric g for high ability populations // Conference paper and poster delivered at the 2016 SIOP Conference in Anaheim, California, 2016. Available at: http://www.dtic.mil/dtic/tr/fulltext/u2/1010433.pdf (accessed: 29.11.2017).
  • Carretta T.R., Ree M.J. General and specific cognitive and psychomotor abilities in personnel selection: The prediction of training and job performance // International Journal of Selection and Assessment, 2000, vol. 8, no. 4, pp. 227-236.
  • DOI: 10.1111/1468-2389.00152
  • Christensen G.T., Mortensen E.L., Christensen K., Osler M. Intelligence in young adulthood and cause-specific mortality in the Danish Conscription Database - A cohort study of 728,160 men // Intelligence, 2016, vol. 59, pp. 64-71.
  • DOI: 10.1016/j.intell.2016.08.001
  • Cohen J. A power primer // Psychological Bulletin, 1992, vol. 112, no. 1, pp. 155-159.
  • DOI: 10.1037/0033-2909.112.1.155
  • Coyle T.R. IQ, the worst performance rule, and Spearman's law: A reanalysis and extension // Intelligence, 2003, vol. 31, no. 5, pp. 473-489.
  • DOI: 10.1016/S0160-2896(02)00175-7
  • Coyle T.R., Rindermann H. Spearman's law of diminishing returns and national ability // Personality and Individual Differences, 2013, vol. 55, no. 4, pp. 406-410.
  • DOI: 10.1016/j.paid.2013.03.023
  • Crede M. Random responding as a threat to the validity of effect size estimates in correlational research // Educational and Psychological Measurement, 2010, vol. 70, no. 4, pp. 596-612.
  • DOI: 10.1177/0013164410366686
  • Deary I.J. Cognitive epidemiology: Its rise, its current issues, and its challenges // Personality and Individual Differences, 2010, vol. 49, no. 4, pp. 337-343.
  • DOI: 10.1016/j.paid.2009.11.012
  • Deary I.J., Egan V., Gibson G.J., Austin E.J., Brand C.R., Kellaghan T. Intelligence and the differentiation hypothesis // Intelligence, 1996, vol. 23, no. 2, pp. 105-132.
  • DOI: 10.1016/S0160-2896(96)90008-2
  • Desimone J.A., Harms P.D., Desimone A.J. Best practice recommendations for data screening // Journal of Organizational Behavior, 2015, vol. 36, no. 2, pp. 171-181.
  • DOI: 10.1002/job.1962
  • Detterman D.K., Daniel M.H. Correlations of mental tests with each other and with cognitive variables are highest for low IQ groups // Intelligence, 1989, vol. 13, no. 4, pp. 349-359.
  • DOI: 10.1016/S0160-2896(89)80007-8
  • Drasgow F. Intelligence and workplace. In I.B. Weiner, N.W. Schmitt & S. Highhouse (Eds.) // Industrial and Organizational Psychology. Handbook of Psychology, vol. 12 (2nd ed.). New York: Wiley, 2012, pp. 184-210.
  • Evans M.G. Implications of the asymmetry of g for predictive validity // Poster presented at the APA/Yale Conference on Intelligence, June 2000. Available at: https://www.researchgate.net/profile/ Martin_Evans/publication/ 267260638 (accessed 26.11.2017).
  • Facon B. Are correlations between cognitive abilities highest in low-IQ groups during childhood? // Intelligence, 2004, vol. 32, no. 4, pp. 391-401.
  • DOI: 10.1016/j.intell.2004.06.002
  • Fogarty G.J., Stankov L. Challenging the "Law of diminishing returns" // Intelligence, 1995, vol. 21, no. 2, pp. 157-174.
  • DOI: 10.1016/0160-2896(95)90024-1
  • Garrett H.E. A developmental theory of intelligence // American Psychologist, 1946, vol. 1, no. 9, pp. 372-378.
  • DOI: 10.1037/h0056380
  • Gottfredson L.S. Where and why g matters: Not a mystery // Human Performance, 2002, vol. 15, no. 1/2, pp. 25-46.
  • DOI: 10.1080/08959285.2002.9668082
  • Grigoriev A., Ushakov D., Valueva E., Zirenko M., Lynn R. Differences in educational attainment, socio-economic variables and geographical location across 79 provinces of the Russian Federation // Intelligence, 2016, vol. 58, pp. 14-17.
  • DOI: 10.1016/j.intell.2016.05.008
  • Hartmann P., Reuter M. Spearman's "Law of diminishing returns" tested with two methods // Intelligence, 2006, vol. 34, no. 1, pp. 47-62.
  • DOI: 10.1016/j.intell.2005.06.002
  • Havlicek L., Peterson N. Effect of the violation of assumptions upon significance levels of the Pearson r // Psychological Bulletin, 1977, vol. 84, no. 2, pp. 373-377.
  • DOI: 10.1037/0033-2909.84.2.373
  • Jensen A.R. The g Factor: The Science of Mental Ability. Westport, CT: Praeger. 1998. 648 p.
  • Jensen A.R. Regularities in Spearman's law of diminishing returns // Intelligence, 2003, vol. 31, no. 2, pp. 95-105.
  • DOI: 10.1016/S0160-2896(01)00094-0
  • Johnson W., Bouchard T.J., Krueger R.F., McGue M., Gottesman I.I. Just one g: consistent results from three test batteries // Intelligence, 2004, vol. 32, no. 1, pp. 95-107.
  • DOI: 10.1016/S0160-2896(03)00062-X
  • Kaiser H.F. A measure of the average intercorrelation // Educational and Psychological Measurement, 1968, vol. 28, no. 2, pp. 245-247.
  • Kell H.J., Lang J.W.B. Specific abilities in the workplace: More important than g? // Journal of Intelligence, 2017, vol. 5, no. 2, 13.
  • DOI: 10.3390/jintelligence5020013
  • Kroczek B., Ociepka M. Chuderski A. No Spearman's law of diminishing returns for the working memory and intelligence relationship // Polish Psychological Bulletin, 2016, vol. 47, no. 1, pp. 73-80.
  • DOI: 10.1515/ppb-2016-0008
  • Kuncel N.R., Hezlett S.A. Fact and fiction in cognitive ability testing for admissions and hiring decisions // Current Directions in Psychological Science, 2010, vol. 19, no. 6, pp. 339-345.
  • DOI: 10.1177/0963721410389459
  • Kyllonen P.C., Zu J. Use of response time for measuring cognitive ability // Journal of Intelligence, 2016, vol. 4, no. 4, 14.
  • DOI: 10.3390/jintelligence4040014
  • Lang J.W.B., Kersting M., Hülsheger U.R., Lang J. General mental ability, narrower cognitive abilities, and job performance: The perspective of the nested-factors model of cognitive abilities // Personnel Psychology, 2010, vol. 63, no. 3, pp. 595-640.
  • DOI: 10.1111/j.1744-6570.2010.01182.x
  • Le H., Oh I.-S., Shaffer J., Schmidt F. Implications of methodological advances for the practice of personnel selection: How practitioners benefit from meta-analysis // Academy of Management: Perspectives, 2007, vol. 21, no. 3, pp. 6-15.
  • DOI: 10.5465/AMP.2007.26421233
  • LeBel E.P., Campbell L., Loving T.J. Benefits of open and high-powered research outweigh costs // Journal of Personality and Social Psychology, 2017, vol. 113, no. 2, pp. 230-243.
  • DOI: 10.1037/pspi0000049
  • Legree P.J., Pifer M.E., Grafton F.C. Correlations among cognitive abilities are lower for higher ability groups // Intelligence, 1996, vol. 23, no. 1, pp. 45-57.
  • DOI: 10.1016/S0160-2896(96)80005-5
  • Lilienfeld S.O. Psychology's replication crisis and the grant culture: Righting the ship // Perspectives on Psychological Science, 2017, vol. 12, no. 4, pp. 660-664.
  • DOI: 10.1177/17456916166877
  • Lynn R. Does Spearman's g decline at high IQ levels? Some evidence from Scotland // The Journal of Genetic Psychology, 1992, vol. 153, no. 2, pp. 229-230.
  • DOI: 10.1080/00221325.1992.10753717
  • Lynn R., Vanhanen T. IQ and the Wealth of Nations. Westport, CT: Praeger Publishers, 2002. 320 p.
  • Lynn R., Vanhanen T. National IQs: A review of their educational, cognitive, economic, political, demographic, sociological, epidemiological, geographic and climatic correlates // Intelligence, 2012, vol. 40, no. 2, pp. 226-234.
  • DOI: 10.1016/j.intell.2011.11.004
  • Martins A.A., Alves A.F., Almeida L.S. The factorial structure of cognitive abilities in childhood // European Journal of Education and Psychology, 2016, vol. 9, no. 1, pp. 38-45.
  • DOI: 10.1016/j.ejeps.2015.11.003
  • McGill R.J. Spearman's law of diminishing returns (SLODR): Examining effects at the level of prediction // Journal of Psychology and Behavioral Science, 2015, vol. 3, no. 1, pp. 24-36.
  • DOI: 10.15640/jpbs.v3n1a3
  • Meisenberg G., Lynn R. Intelligence: A measure of human capital in nations // The Journal of Social, Political and Economic Studies, 2011, vol. 36, no. 4, pp. 421-454.
  • Molenaar D., Kő N., Rózsa S., Mészáros A. Differentiation of cognitive abilities in the WAIS-IV at the item level // Intelligence, 2017, vol. 65, pp. 48-59.
  • DOI: 10.1016/j.intell.2017.10.004
  • Mount M.K., Oh I.S., Burns M. Incremental validity of perceptual speed and accuracy over general mental ability // Personnel Psychology, 2008, vol. 61, no. 1, pp. 113-139.
  • DOI: 10.1111/j.1744-6570.2008.00107.x
  • Murray A.L., Dixon H., Johnson W. Spearman's law of diminishing returns: A statistical artifact? // Intelligence, 2013, vol. 41, no. 5, pp. 439-451.
  • DOI: 10.1016/j.intell.2013.06.007
  • Ones D.S., Viswesvaran C., Schmidt F.L. Realizing the full potential of psychometric meta-analysis for a cumulative science and practice of human resource management // Human Resource Management Review, 2017, vol. 27, no. 2, pp. 201-215.
  • DOI: 10.1016/j.hrmr.2016.09.011
  • Open Science Collaboration. Estimating the reproducibility of psychological Science // Science, 2015, vol. 349, no. 6251.
  • DOI: 10.1126/science.aac4716
  • Ree M.J., Earles J.A. Intelligence is the best predictor of job performance // Current Directions in Psychological Sciences, 1992, vol. 1, no. 3, pp. 86-89.
  • Ree J.M., Earles J.A., Teachout M.S. Predicting job performance: Not much more than g // Journal of Applied Psychology, 1994, vol. 79, no. 4, pp. 518-524.
  • DOI: 10.1037/0021-9010.79.4.518
  • Ree M.J., Carretta T.R., Teachout M.S. Pervasiveness of dominant general factors in organizational measurement // Industrial and Organizational Psychology, 2015, vol. 8, no. 3, pp. 409-427.
  • DOI: 10.1017/iop.2015.16
  • Reeve C.L., Scherbaum C., Goldstein H. Manifestations of intelligence: Expanding the measurement space to reconsider specific cognitive abilities // Human Resources Management Review, 2015, vol. 25, no. 1, pp. 28-37.
  • DOI: 10.1016/j.hrmr.2014.09.005
  • Reynolds M.R., Keith T.Z. Spearman's law of diminishing returns in hierarchical models of Intelligence for children and adolescents // Intelligence, 2007, vol. 35, no. 3, pp. 267-281.
  • DOI: 10.1016/j.intell.2006.08.002
  • Reynolds M.R., Keith T.Z., Beretvas S.N. Use of factor mixture modeling to capture Spearman's law of diminishing returns // Intelligence, 2010, vol. 38, no. 2, pp. 231-241.
  • DOI: 10.1016/j.intell.2010.01.002
  • Salgado J.F., Anderson N., Moscoso S., Bertua C., de Fruyt F. International validity generalization of GMA and cognitive abilities: A European Community meta-analysis // Personnel Psychology, 2003, vol. 56, no. 3, pp. 573-605.
  • DOI: 10.1111/j.1744-6570.2003.tb00751.x
  • Salthouse T.A. Evaluating the correspondence of different cognitive batteries // Assessment, 2014, vol. 21, no. 2, pp. 131-142.
  • DOI: 10.1177/1073191113486690
  • Schmidt F.L., Hunter J. General mental ability in the world of work: Occupational attainment and job performance // Journal of Personality and Social Psychology, 2004, vol. 86, no. 1, pp. 162-173.
  • DOI: 10.1037/0022-3514.86.1.162
  • Schmidt F.L., Oh I.-S., Shaffer J.A. The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 100 years of research findings // Working paper. October 2016. Available at: http://www.researchgate.net/publication/309203898 (accessed 24.02.2017).
  • DOI: 10.13140/RG.2.2.18843.26400
  • Spearman C.E. The Abilities of Man: Their Nature and Measurement. New York: Macmillan, 1927. 415 p.
  • Stanhope D.S., Surface E.A. Examining the incremental validity and relative importance of specific cognitive abilities in a training context // Journal of Personnel Psychology, 2014, vol. 13, no. 3, pp. 146-156.
  • DOI: 10.1027/1866-5888/a000116
  • Tucker-Drob E. Differentiation of cognitive abilities across the lifespan // Developmental Psychology, 2009, vol. 45, no. 4, pp. 1097-1118.
  • DOI: 10.1037/a0015864
  • Tuğran E., Kocak M., Mirtagioğlu H., Yiği, S., Mendes M. A simulation based comparison of correlation coefficients with regard to type I error rate and power // Journal of Data Analysis and Information Processing, 2015, vol. 3, no. 3, pp. 87-101.
  • DOI: 10.4236/jdaip.2015.33010
  • Ushakov D.V., Grigoriev A.A. Macropsychology of intelligence: Through emotions to theoretical depth. Psychology // Journal of the Higher School of Economics, 2016, vol. 13, no. 4, pp. 629-635.
  • Van der Linden W.J. Setting time limits on tests // Applied Psychological Measurement, 2011, vol. 35, no. 3, pp. 183-199.
  • DOI: 10.1177/0146621610391648
  • Woodley M.A. The cognitive differentiation-integration effort hypothesis: A synthesis between the fitness indicator and life history models of human intelligence // Review of General Psychology, 2011, vol. 15, no. 3, pp. 228-245.
  • DOI: 10.1037/a0024348
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