Zusammenfassung
Bevor wir uns den Forschungsarbeiten zur Entwicklung der Intelligenz zuwenden, geht es zunächst darum zu klären, was Intelligenz ist. In den meisten Bereichen der kognitiven Entwicklung wie Wahrnehmung, Sprache und Begriffsverstehen werden altersbezogene Veränderungen geprüft. Aber die Intelligenzforschung interessiert sich auch für individuelle Unterschiede zwischen Kindern gleichen Alters. Fragen zur Intelligenzentwicklung werden aus gutem Grund kontrovers diskutiert, da sie sehr grundlegende Aspekte betreffen: die Rolle von Vererbung und Umwelt, den Einfluss ethnischer Unterschiede, die Effekte von Reichtum und Armut und die Möglichkeit zu Fortschritten. Daneben werden neuere Intelligenztheorien vorgestellt, die einen größeren Bereich menschlicher Fähigkeiten umfassen. Zu den wichtigsten Intelligenzleistungen von Kindern gehört der Erwerb schulischer Fähigkeiten wie Lesen, Schreiben und Mathematik.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Literatur
Alexander, K. L., Entwisle, D. R., & Olson, L. S. (2007). Lasting consequences of the summer learning gap. American Sociological Review, 72, 167–180.
Alibali, M. W., Spencer, R. C., Knox, L., & Kita, S. (2011). Spontaneous gestures influence strategy choices in problem solving. Psychological Science, 22, 1138–1144. https://doi.org/10.1177/0956797611417722.
Anderson, R. C., Wilson, P. T., & Fielding, L. G. (1988). Growth in reading and how children spend their time outside of school. Reading Research Quarterly, 23, 285–303.
Apthorp, H., Randel, B., Cherasaro, T., Clark, T., McKeown, M., & Beck, I. (2012). Effects of a supplemental vocabulary program on word knowledge and passage comprehension. Journal of Research on Educational Effectiveness, 5(2), 160–188. https://doi.org/10.1080/19345747.2012.660240.
Ashcraft, M. H., & Ridley, K. S. (2005). Math anxiety and its cognitive consequences. In J. I. D. Campbell (Hrsg.), Handbook of mathematical cognition (S. 315–327). New York: Psychology Press.
Bailey, D. H., Zhou, X., Zhang, Y., Cui, J., Fuchs, L. S., Jordan, N. C., … Siegler, R. S. (2015). Development of fraction concepts and procedures in U.S. and Chinese children. Journal of Experimental Child Psychology, 129, 68–83. https://doi.org/10.1016/j.jecp.2014.08.006.
Bailey, D. H., Nguyen, T., Jenkins, J. M., Domina, T., Clements, D. H., & Sarama, J. S. (2016). Fadeout in an early mathematics intervention: Constraining content of preexisting differences? Developmental Psychology, 52(9), 1457–1469. https://doi.org/10.1037/dev0000188.
Beilock, S. L., & Willingham, D. T. (2014, Summer). Math anxiety: Can teachers help students reduce it? American Educator. http://files.eric.ed.gov/fulltext/EJ1043398.pdf. Zugegriffen am 05.10.2020.
Beilock, S. L., Gunderson, E. A., Ramirez, G., & Levine, S. C. (2010). Female teachers’ math anxiety affects girls’ math achievement. Proceedings of the National Academy of Sciences of the United States of America, 107, 1860–1863.
Berkowitz, T., Schaeffer, M. W., Maloney, E. A., Peterson, L., Gregor, C., Levine, S. C., & Beilock, S. L. (2015). Math at home adds up to achievement in school. Science, 350(6257), 196–198. https://doi.org/10.1126/science.aac7427.
Berninger, V. W., & Richards, T. L. (2002). Building a writing brain neurologically. In V. W. Berninger & T. L. Richards (Hrsg.), Brain literacy for educators and psychologists (S. 247–271). San Diego: Academic.
Bertelletti, I., Lucangeli, D., Piazza, M., Dehaene, S., & Zorzi, M. (2010). Numerical estimation in preschoolers. Developmental Psychology, 46, 545–551. https://doi.org/10.1037/a0017887.
Bialystok, E. (2000). Symbolic representation across domains in preschool children. Journal of Experimental Child Psychology, 76, 173–189.
Blumberg, F. C., & Randall, J. D. (2013). What do children and adolescents say they do during video game play? Journal of Applied Developmental Psychology, 34(2), 82–88. https://doi.org/10.1016/j.appdev.2012.11.004.
Blumberg, F. C., Deater-Deckard, K., Calvert, S. L., Flynn, R. M., Green, C. S., Arnold, D., & Brooks, P. J. (2019). Digital games as a context for children’s cognitive development: Research recommendations and considerations. Social Policy Report, 32(1), 1–33. https://doi.org/10.1002/sop2.3.
Bouwer, R., Koster, M., & van den Bergh, H. (2018). Effects of a strategy-focused instructional program on the writing quality of upper elementary students in the Netherlands. Journal of Educational Psychology, 110(1), 58–71. https://doi.org/10.1037/edu0000206.
Bradley, R. H., & Caldwell, B. M. (1979). Home observation for measurement of the environment: A revision of the preschool scale. American Journal of Mental Deficiency, 84, 235–244.
Bradley, R. H., & Caldwell, B. M. (1984). 174 children: A study of the relationship between home environment and cognitive development during the first 5 years. In A. W. Gottfried (Hrsg.), Home environment and early cognitive development (S. 5–56). New York: Academic.
Bradley, R. H., Whiteside, L., Mundrom, D. J., Casey, P. H., Kelleher, K. J., & Pope, S. K. (1994). Contribution of early intervention and early caregiving experiences to resilience in low-birth weight, premature children living in poverty. Journal of Clinical Child Psychology, 23, 425–434.
Bradley, R. H., Convyn, R. F., Burchinal, M., McAdoo, H. P., & García Coll, C. (2001). The home environments of children in the United States Part II: Relations with behavioral development through age thirteen. Child Development, 72, 1868–1886.
Bratsberg, B., & Rogeberg, O. (2018). Flynn effect and its reversal are both environmentally caused. Proceedings of the National Academy of Sciences, 115(26), 201718793. https://doi.org/10.1073/pnas.1718793115.
Brody, N. (1992). Intelligence (2. Aufl.). San Diego: Academic.
Bronfenbrenner, U. (1993). The ecology of cognitive development: Research models and fugitive findings. In R. H. Wozniak & K. W. Fischer (Hrsg.), Development in context: Acting and thinking in specific environments (S. 3–44). Hillsdale: Erlbaum.
Burchinal, M. R., Campbell, F. A., Brayant, D. M., Wasik, B. H., & Ramey, C. T. (1997). Early intervention and mediating processes in cognitive performance of children of low-income African American families. Child Development, 68, 935–954.
Cahan, S., & Cohen, N. (1989). Age versus schooling effects on intelligence development. Child Development, 60, 1239–1249.
Campbell, F. A., & Ramey, C. T. (2007). Carolina Abecedarian Project. Paper presented at the National Invitational Conference of the Early Childhood Research Collaborative on „Critical Issues in Cost Effectiveness in Children’s First Decade“, Minnesota.
Campbell, F. A., Pungello, E. P., Miller-Johnson, S., Burchinal, M., & Ramey, C. T. (2001). The development of cognitive and academic abilities: Growth curves from an early childhood educational experiment. Developmental Psychology, 37, 231–242.
Campbell, F. A., Pungello, E. P., Burchinal, M., Kainz, K., Pan, Y., Wasik, B. H., & Ramey, C. T. (2012). Adult outcomes as a function of an early childhood educational program: An Abecedarian Project follow-up. Developmental Psychology, 48, 1033–1043.
Canobi, K. H., Reeve, R. A., & Pattison, P. E. (2002). Young children’s understanding of addition concepts. Educational Psychology, 22, 513–532.
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York: Cambridge University Press.
Carroll, J. B. (2005). The three-stratum theory of cognitive abilities. In D. P. Flanagan & P. L. Harrison (Hrsg.), Contemporary intellectual assessment: Theories, tests, and issues (2. Aufl., S. 69–76). New York: Guilford Press.
Case, R., Griffin, S., & Kelly, W. M. (1999). Socioeconomic gradients in mathematical ability and their responsiveness to intervention during early childhood. In D. P. Keating & C. Hertzman (Hrsg.), Developmental health and the wealth of nations: Social, biological, and educational dynamics (S. 125–149). New York: Guilford Press.
Castles, A., Rastle, K., & Nation, K. (2018). Ending the reading wars: Reading acquisition from novice to expert. Psychological Science in the Public Interest, 19(1), 5–51. https://doi.org/10.1177/1529100618772271.
Ceci, S. J. (1996). On intelligence: A bioecological treatise on intellectual development. Cambridge, MA: Harvard University Press.
Chabris, C. F., Lee, J. J., Cesarini, D., Benjamin, D. J., & Laibson, D. I. (2015). The fourth law of behavior genetics. Current Directions in Psychological Science, 24(4), 304–312. https://doi.org/10.1177/0963721415580430.
Chall, J. (1979). The great debate: Ten years later, with a modest proposal for reading stages. In L. B. Resnick & P. A. Weaver (Hrsg.), Theory and practice of early reading (Bd. 1, S. 29–55). Hillsdale: Erlbaum.
Church, R. B. (1999). Using gesture and speech to capture transitions in learning. Cognitive Development, 14, 313–342.
Cianciolo, A. T., Matthew, C., Sternberg, R. J., & Wagner, R. K. (2006). Tacit knowledge, practical intelligence, and expertise. In K. A. Ericsson, N. Charness, P. J. Feltovich, & R. R. Hoffman (Hrsg.), The Cambridge handbook of expertise and expert performance (S. 613–632). New York: Cambridge University Press.
Compton, D. L., Miller, A. C., Elleman, A. M., & Steacy, L. M. (2014). Have we forsaken reading theory in the name of „quick fix“ interventions for children with reading disability? Scientific Studies of Reading, 18(1), 55–73. https://doi.org/10.1080/10888438.2013.836200.
Coyle, T. R., Pillow, D. R., Snyder, A. C., & Kochunov, P. (2012). Processing speed mediates the development of general intelligence (g) in adolescence. Psychological Science, 22, 1265–1269. https://doi.org/10.1177/0956797611418243.
Cragg, L., & Gilmore, C. (2014). Skills underlying mathematics: The role of executive function in the development of mathematics proficiency. Trends in Neuroscience and Education, 3(2), 63–68. https://doi.org/10.1016/j.tine.2013.12.001.
Curry, D., Schmitt, M. J., & Waldron, S. (1996). A framework for adult numeracy standards: The mathematical skills and abilities adults need to be equipped for the future. Final report from the System Reform Planning Project of the Adult Numeracy Network. Washington, DC: National Institute for Literacy.
Damasio, A. R. (2009). Ich fühle also bin ich. Die Entschlüsselung des Bewusstseins. [Originaltitel: The feeling of what happens: Body and emotion in the making of consciousness] (8. Aufl.). München: List.
Deary, I. J. (2012). Intelligence. Annual Review of Psychology, 63, 453–482.
Deater-Deckard, K., Dodge, K. A., Bates, J. E., & Pettit, G. S. (1995). Risk factors for the development of externalizing behavior problems: Are there ethnic group differences in process? Paper presented at the biennial meeting of the Society for Research in Child Development, Indianapolis.
Dennis, W., & Najarian, P. (1957). Infant development under environmental handicap. Psychological Monographs: General and Applied, 71, 1–13.
Devine, A., Fawcett, K., Szücs, D., & Dowker, A. (2012). Gender differences in mathematics anxiety and the relation to mathematics performance while controlling for test anxiety. Behavioral and Brain Functions, 8. https://doi.org/10.1186/1744-9081-8-33.
Duckworth, A. L., Quinn, P. D., Lynam, D. R., Loeber, R., & Stouthamer-Loeber, M. (2011). Role of test motivation in intelligence testing. Proceedings of the National Academy of Sciences, 108(19), 7716–7720. https://doi.org/10.1073/pnas.1018601108.
Duckworth, A. L., Quinn, P. D., & Tsukayama, E. (2012). What No Child Left Behind leaves behind: The roles of IQ and self-control in predicting standardized achievement test scores and report card grades. Journal of Educational Psychology, 104, 439–451. https://doi.org/10.1037/a0026280.
Duncan, G. J., & Murnane, R. J. (2011). Whither opportunity? Rising inequality, schools, and children’s life chances. New York: Russell Sage Foundation.
Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., & Japel, C. (2007). School readiness and later achievement. Developmental Psychology, 43(6), 1428–1446. https://doi.org/10.1037/0012-1649.43.6.1428.
Ehri, L. C. (2014). Orthographic mapping in the acquisition of sight word reading, spelling memory, and vocabulary learning. Scientific Studies of Reading, 18(1), 5–21. https://doi.org/10.1080/10888438.2013.819356.
Eppig, C., Fincher, C. L., & Thornhill, R. (2010). Parasite prevalence and the worldwide distribution of cognitive ability. Proceedings of the Royal Society B: Biological Sciences, 277, 3801–3808. https://doi.org/10.1098/rspb.2010.0973.
Fazio, L. K., DeWolf, M., & Siegler, R. S. (2016). Strategy use and strategy choice in fraction magnitude comparison. Journal of Experimental Psychology: Learning, Memory, and Cognition, 42, 1–16. https://doi.org/10.1037/xlm0000153.
Feitelson, D., & Goldstein, Z. (1986). Patterns of book ownership and reading to young children in Israeli school-oriented and nonschool-oriented families. The Reading Teacher, 39, 924–930.
Fitzgerald, J. (1992). Variant views about good thinking during composing: Focus on revision. In M. Pressley, K. R. Harris, & J. T. Guthrie (Hrsg.), Promoting academic competence and literacy in school (S. 337–358). Bingley: Emerald Group.
Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101, 171–191.
Flynn, J. R. (2009). What is intelligence? Beyond the Flynn effect. Cambridge: Cambridge University Press.
Flynn, R. M., & Richert, R. A. (2018). Cognitive, not physical, engagement in video gaming influences executive functioning. Journal of Cognition and Development, 19(1), 1–20. https://doi.org/10.1080/15248372.2017.1419246.
Flynn, J. R., & Weiss, L. G. (2007). American IQ gains from 1931 to 2002: The WISC subtests and educational progress. International Journal of Testing, 7, 209–224.
Foorman, B., Beyler, N., Borradaile, K., Coyne, M., Denton, C. A., Dimino, J., … Wissel, S. (2016). Foundational skills to support reading for understanding in kindergarten through 3rd grade (NCEE 2016-4008). Washington, DC: National Center for Education Evaluation and Regional Assistance (NCEE), Institute of Education Sciences, U.S. Department of Education. https://ies.ed.gov/ncee/wwc/Docs/PracticeGuide/wwc_foundationalreading_040717.pdf. Zugegriffen am 05.10.2020.
Franceschini, S., Trevisan, P., Ronconi, L., Bertoni, S., Colmar, S., Double, K., … Gori, S. (2017). Action video games improve reading abilities and visual-to-auditory attentional shifting in English-speaking children with dyslexia. Scientific Reports, 7(1), 5863. https://doi.org/10.1038/s41598-017-05826-8.
Fuchs, L. S., Schumacher, R. F., Long, J., Namkung, J., Hamlett, C. L., Cirino, P. T., & Changas, P. (2013). Improving at-risk learners’ understanding of fractions. Journal of Educational Psychology, 105, 683–700. https://doi.org/10.1037/a0032446.
Ganzach, Y., Gotlibobski, C., Greenberg, D., & Pazy, A. (2013). General mental ability and pay: Nonlinear effects. Intelligence, 41(5), 631–637. https://doi.org/10.1016/j.intell.2013.07.015.
Gardner, H. (1993). Multiple intelligences: The theory in practice. New York: Basic Books.
Geary, D. C. (2005). The origin of mind: Evolution of brain, cognition, and general intelligence. Washington, DC: American Psychological Association.
Geary, D. C. (2006). Development of mathematical understanding. In D. Kuhn & R. S. Siegler (Hrsg.), Handbook of child psychology: Vol. 2 Cognition, perception, and language (6. Aufl., S. 777–810). Hoboken: Wiley.
Geary, D. C., Hoard, M. K., Byrd-Craven, J., Nugent, L., & Numtee, C. (2007). Cognitive mechanisms underlying achievement deficits in children with mathematical learning disability. Child Development, 78, 1343–1359. https://doi.org/10.1111/j.1467-8624.2007.01069.x.
Geary, D. C., Hoard, M. K., Nugent, L., & Bailey, D. H. (2012). Mathematical cognition deficits in children with learning disabilities and persistent low achievement: A five-year prospective study. Journal of Educational Psychology, 104, 206–223. https://doi.org/10.1037/a0025398.
Gladwell, M. (2009). Überflieger: Warum manche Menschen erfolgreich sind – und andere nicht. Frankfurt: Campus.
Glass, B. D., Maddox, W. T., & Love, B. C. (2013). Real-time strategy game training: Emergence of a cognitive flexibility trait. PLoS ONE, 8(8), Article e70350.
Goldin-Meadow, S., Cook, S. W., & Mitchell, Z. A. (2009). Gesturing gives children new ideas about math. Psychological Science, 20, 267–272.
Goodman, A., Gregg, P., & Washbrook, E. (2011). Children’s educational attainment and the aspirations, attitudes and behaviours of parents and children through childhood. Longitudinal and Life Course Studies, 2(1), 1–18. https://doi.org/10.14301/llcs.v2i1.147.
Gottfredson, L. S. (1997). Why g matters: The complexity of everyday life. Intelligence, 24, 79–132.
Gottfredson, L. S. (2011). Intelligence and social inequality: Why the biological link. In T. Chamorro-Premuzic, S. von Stumm, & A. Furnham (Hrsg.), Handbook of individual differences (S. 538–575). Chichester: Wiley-Blackwell.
Graham, S., & Harris, K. R. (1996). Self-regulation and strategy instruction for students who find writing and learning challenging. In I. C. M. Levy & S. Ransdell (Hrsg.), The science of writing: Theories, methods, individual differences, and applications (S. 347–360). Hillsdale: Erlbaum.
Graham, S., McKeown, D., Kiuhara, S., & Harris, K. R. (2012). A meta-analysis of writing instruction for students in the elementary grades. Journal of Educational Psychology, 104(4), 879–896. https://doi.org/10.1037/a0029185.
Gutman, L. M., Sameroff, A. J., & Cole, R. (2003). Academic growth curve trajectories from 1st grade to 12th grade: Effects of multiple social risk factors and preschool child factors. Developmental Psychology, 39, 777–790.
Halpern, D. F., Benbow, C. P., Geary, D. C., Gur, R. C., Hyde, J. S., & Gernsbacher, M. A. (2007). The science of sex differences in science and mathematics. Psychological Science in the Public Interest, 8, 1–51. https://doi.org/10.1111/j.1529-1006.2007.00032.x.
Horn, J. L., & McArdle, J. J. (2007). Understanding human intelligence since Spearman. In R. Cudeck & R. C. MacCallum (Hrsg.), Factor analysis at 100: Historical developments and future directions (S. 205–247). Mahwah: Erlbaum.
Hulslander, J., Olson, R. K., Willcutt, E. G., & Wadsworth, S. J. (2011). Longitudinal stability of reading-related skills and their prediction of reading development. Scientific Studies of Reading, 14, 111–136. https://doi.org/10.1080/1088843100360405820563241.
Humphreys, L. G. (1989). Intelligence: Three kinds of instability and their consequences for policy. In R. L. Linn (Hrsg.), Intelligence (S. 193–216). Urbana: University of Illinois Press.
Hunt, J. M. (1961). Intelligence and experience. New York: Ronald Press.
Huttenlocher, J., Levine, S., & Vevea, J. (1998). Environmental input and cognitive growth: A study using time-period comparisons. Child Development, 69, 1012–1029.
Jensen, A. R. (1973). Educability and group differences. New York: Harper & Row.
Jordan, N. C. (2007). Do words count? Connections between mathematics and reading difficulties. In D. B. Berch & M. M. M. Mazzocco (Hrsg.), Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (S. 107–120). Baltimore: Paul H. Brookes.
Jordan, N. C., Hansen, N., Fuchs, L. S., Siegler, R. S., Gersten, R., & Micklos, D. (2013). Developmental predictors of fraction concepts andprocedures. Journal of Experimental Child Psychology, 116(1), 45–48. https://doi.org/10.1016/j.jecp.2013.02.001.
Juel, C. (1988). Learning to read and write: A longitudinal study of 54 children from first through fourth grades. Journal of Educational Psychology, 80, 437–447. https://doi.org/10.1037/0022-0663.80.4.437.
Jung, R. E., & Haier, R. J. (2007). The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence. Behavioral and Brain Sciences, 30, 135–154. https://doi.org/10.1017/S0140525X07001185.
Kang, C. Y., Duncan, G. J., Clements, D. H., Sarama, J., & Bailey, D. H. (2019). The roles of transfer of learning and forgetting in the persistence and fadeout of early childhood mathematics interventions. Journal of Educational Psychology, 111(4), 590–603. https://doi.org/10.1037/edu0000297.
Kaufman, A. S., Raiford, S. E., & Coalson, D. L. (2016). Intelligence testing with WISC-V. Hoboken: Wiley.
Kell, H. J., Lubinski, D., & Benbow, C. P. (2013). Who rises to the top? Early indicators. Psychological Science, 24(5), 648–659. https://doi.org/10.1177/0956797612457784.
Kobasigawa, A., Ransom, C. C., & Holland, C. J. (1980). Children’s knowledge about skimming. Alberta Journal of Educational Research, 26, 169–182.
Korenman, S., Miller, J. E., & Sjaastad, J. E. (1995). Long-term poverty and child development in the United States: Results from the NLSY [Special Issue on Child Poverty, Public Practices, and Welfare Reform]. Children and Youth Services Review, 17, 127–155.
Kovas, Y., & Plomin, R. (2007). Learning abilities and disabilities: Generalist genes, specialist environments. Current Directions in Psychological Science, 16, 284–288. https://doi.org/10.1111/j.1467-8721.2007.00521.x.
Larson, K., Russ, S. A., Nelson, B. B., Olson, L. M., & Halfon, N. (2015). Cognitive ability at kindergarten entry and socioeconomic status. Pediatrics, 135, e440–e448. https://doi.org/10.1542/peds.2014-0434.
Laski, E. V., & Yu, Q. (2014). Number line estimation and mental addition: Examining the potential roles of language and education. Journal of Experimental Child Psychology, 117, 29–44. https://doi.org/10.1016/j.jecp.2013.08.007.
Lazar, I., Darlington, R., Murray, H., Royce, J., & Snipper, A. (1982). Lasting effects of early education: A report from the Consortium for Longitudinal Studies. Monographs of the Society for Research in Child Development, 47, 1–151.
Le Corre, M., & Carey, S. (2007). One, two, three, four, nothing more: An investigation of the conceptual sources of the verbal counting principles. Cognition, 105, 395–438. https://doi.org/10.1016/j.cognition.2006.10.005.
LeFevre, J.-A., Bisanz, J., Daley, K. E., Buffone, L., Greenham, S. L., & Sadesky, G. S. (1996). Multiple routes to solution of single-digit multiplication problems. Journal of Experimental Psychology: General, 125, 284–306.
Lemaire, P. (2010). Cognitive strategy variations during aging. Current Directions in Psychological Science, 19, 363–369. https://doi.org/10.1177/0963721410390354.
Lervåg, A., Hulme, C., & Melby-Lervåg, M. (2018). Unpicking the developmental relationship between oral language skills and reading comprehension: It’s simple, but complex. Child Development, 89(5), 1821–1838. https://doi.org/10.1111/cdev.12861.
Leung, F. K. S., Park, K., Shimizu, Y., & Xu, B. (2015). Mathematics education in East Asia. In S. J. Cho (Hrsg.), The proceedings of the 12th international congress on mathematical education (S. 123–143). New York: Springer. https://doi.org/10.1007/978-3-319-12688-3_11.
Levin, I., & Aram, D. (2013). Promoting early literacy via practicing invented spelling: A comparison of different mediation routines. Reading Research Quarterly, 48, 221–236. https://doi.org/10.1002/rrq.48.
Levin, I., & Korat, O. (1993). Sensitivity to phonological, morphological, and semantic cues in early reading and writing in Hebrew. Merrill-Palmer Quarterly, 39, 213–232.
Lonigan, C. J. (2015). Early literacy. In L. S. Liben & U. M. Müller (Hrsg.), Handbook of child psychology and developmental science: Vol. 2 Cognitive processes (7. Aufl., S. 763–805). Hoboken: Wiley.
Lortie-Forgues, H., Tian, J., & Siegler, R. S. (2015). Why is learning fraction and decimal arithmetic so difficult? Developmental Review, 38, 201–221. https://doi.org/10.1016/j.dr.2015.07.008.
Love, J. M., Chazan-Cohen, R., & Raikes, H. (2007). Forty years of research knowledge and use: From Head Start to Early Head Start and beyond. In J. L. Aber, S. J. Bishop-Josef, S. M. Jones, K. T. McLearn, & D. A. Phillips (Hrsg.), Child development and social policy: Knowledge for action (S. 79–95). Washington, DC: American Psychological Association.
Lubinski, D., & Humphreys, L. G. (1997). Incorporating general intelligence into epidemiology and the social sciences. Intelligence, 24, 159–201.
Lubinski, D., Webb, R. M., Morelock, M. J., & Benbow, C. P. (2001). Top 1 in 10,000: A 10-year follow-up of the profoundly gifted. Journal of Applied Psychology, 86, 718–729.
Lubinski, D., Benbow, C. P., & Kell, H. J. (2014). Life paths and accomplishments of mathematically precocious males and females four decades later. Psychological Science, 25(12), 2217–2232. https://doi.org/10.1177/0956797614551371.
Lynn, R. (2009). What has caused the Flynn effect? Secular increases in the Development Quotients of infants. Intelligence, 37, 16–24.
Lyons, I. M., & Beilock, S. L. (2012). When math hurts: Math anxiety predicts pain network activation in anticipation of doing math. PLoS ONE, 7, e48076. https://doi.org/10.1371/journal.pone.0048076.
Mabbott, D. J., & Bisanz, J. (2003). Developmental change and individual differences in children’s multiplication. Child Development, 74, 1091–1107.
MacDonald, G. W., & Cornwall, A. (1995). The relationship between phonological awareness and reading and spelling achievement eleven years later. Journal of Learning Disabilities, 28, 523–527.
Maclean, M., Bryant, P., & Bradley, L. (1987). Rhymes, nursery rhymes, and reading in early childhood. Merrill-Palmer Quarterly, 33, 255–281.
Makel, M. C., Kell, H. J., Lubinski, D., Putallaz, M., & Benbow, C. P. (2016). When lightning strikes twice: Profoundly gifted, profoundly accomplished. Psychological Science, 27(7), 1004–1018. https://doi.org/10.1177/0956797616644735.
Maloney, E. A., Ramirez, G., Gunderson, E. A., Levine, S. C., & Beilock, S. L. (2015). Intergenerational effects of parents’ math anxiety on children’s math achievement and anxiety. Psychological Science, 26(9), 1480–1488. https://doi.org/10.1177/0956797615592630.
McAdams, D. P., & Olson, B. D. (2010). Personality development: Continuity and change over the life course. Annual Review of Psychology, 61, 517–542. https://doi.org/10.1146/annurev.psych.093008.100507.
McBride-Chang, C. (2004). Children’s literacy development. New York: Oxford University Press.
McCloskey, M. (2007). Quantitative literacy and developmental dyscalculias. In D. B. Berch & M. M. M. Mazzocco (Hrsg.), Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (S. 415–429). Baltimore: Paul H. Brookes.
McCutchen, D. (2011). From novice to expert: Implications of language skills and writing-relevant knowledge for memory during the development of writing skill. Journal of Writing Research, 3(1), 51–68. https://doi.org/10.17239/jowr-2011.03.01.3.
McDaniel, M. A. (2005). Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence, 33, 337–346. https://doi.org/10.1016/j.intell.2004.11.005.
McGue, M., Bouchard, T. J., Jr., Iacono, W. G., & Lykken (1993). Behavioral genetics of cognitive ability: A life-span perspective. In R. Plomin & G. E. McClearn (Hrsg.), Nature, nurture and psychology (S. 59–76). Washington, DC: American Psychological Association.
McNeil, N. M., Fyfe, E. R., Petersen, L. A., Dunwiddie, A. E., & Brletic-Shipley, H. (2011). Benefits of practicing 4=2+2: Nontraditional problem formats facilitate children’s understanding of mathematical equivalence. Child Development, 82, 1620–1633.
Moore, A. M., & Ashcraft, M. H. (2013). Emotionality in mathematical problem solving. In C. Mohiyeddini, M. Eysenck, & S. Bauer (Hrsg.), Handbook of psychology of emotions: Recent theoretical perspectives and novel empirical findings (S. 115–141). Hauppauge: Nova Science Publishers.
Mukherjee, H. B. (2016). Education for fullness: A study of the educational thought and experiment of Rabindranath Tagore. New York: Routledge.
Nation, K. (2008). Learning to read words. Quarterly Journal of Experimental Psychology, 61, 1121–1133. https://doi.org/10.1080/17470210802034603.
Nicholson, T. (1999). Reading comprehension processes. In G. B. Thompson & T. Nicholson (Hrsg.), Learning to read: Beyond phonics and whole language (S. 127–149). Newark: International Reading Association.
Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., & Turkheimer, E. (2012). Intelligence: New findings and theoretical developments. American Psychologist, 67, 130–159. https://doi.org/10.1037/a0026699.
Oliver, B., Dale, P. S., & Plomin, R. (2004). Verbal and nonverbal predictors of early language problems: An analysis of twins in early childhood back to infancy. Journal of Child Language, 31, 609–631.
Olson, S. L., Bates, J. E., & Kaskie, B. (1992). Caregiver-infant interaction antecedents of children’s school-age cognitive ability. Merrill-Palmer Quarterly, 38, 309–330.
Olson, R. K., Keenan, J. M., Byrne, B., & Samuelsson, S. (2014). Why do children differ in their development of reading and related skills? Scientific Studies of Reading, 18(1), 38–54. https://doi.org/10.1080/10888438.2013.800521.
Organisation for Economic Co-operation and Development (OECD). (2018). Policy brief on child well-being: Poor children in rich countries: Why we need policy action. OECD, October 2018. https://www.oecd.org/els/family/Poor-children-in-rich-countries-Policy-brief-2018.pdf. Zugegriffen am 27.09.2020.
Palincsar, A. S., & Magnusson, S. J. (2001). The interplay of first-hand and second-hand investigations to model and support the development of scientific knowledge and reasoning. In S. M. Carver & D. Klahr (Hrsg.), Cognition and instruction: Twenty-five years of progress (S. 151–187). Mahwah: Erlbaum.
Perfetti, C., & Stafura, J. (2014). Word knowledge in a theory of reading comprehension. Scientific Studies of Reading, 18(1), 22–37. https://doi.org/10.1080/10888438.2013.827687.
Perry, C., Zorzi, M., & Ziegler, J. C. (2019). Understanding dyslexia through personalized large-scale computational models. Psychological Science, 30(3), 386–395. https://doi.org/10.1177/0956797618823540.
Petermann, F. (Hrsg.). (2017). WISC-V: Wechsler Intelligence Scale for Children – Fifth Edition. Frankfurt a. M.: Pearson.
Peterson, R. L., Pennington, B. F., & Olson, R. K. (2013). Subtypes of developmental dyslexia: Testing the predictions of the dual-route and connectionist frameworks. Cognition, 126(1), 20–38. https://doi.org/10.1016/j.cognition.2012.08.007.
Petrill, S. A., Lipton, P. A., Hewitt, J. K., Plomin, R., Cherny, S. S., Corley, R., & DeFries, J. C. (2004). Genetic and environmental contributions to general cognitive ability through the first 16 years of life. Developmental Psychology, 40, 805–812. https://doi.org/10.1037/0012-1649.40.5.805.
Petrill, S. A., Deater-Deckard, K., Thompson, L. A., Schatschneider, C., Dethorne, L. S., & Vandenbergh, D. J. (2007). Longitudinal genetic analysis of early reading. The Western Reserve Reading Project. Reading and Writing, 20, 127–146. https://doi.org/10.1007/s11145-006-9021-2.
Piasta, S. B., & Wagner, R. K. (2010). Developing early literacy skills: A meta-analysis of alphabet learning and instruction. Reading Research Quarterly, 45, 8–38. https://doi.org/10.1598/RRQ.45.1.2.
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(3), 282–306. https://doi.org/10.1177/1745691615577701.
Plomin, R., & Daniels, D. (2011). Why are children in the same family so different from one another? International Journal of Epidemiology, 40(3), 563–582. https://doi.org/10.1093/ije/dyq148.
Plomin, R., & Deary, I. J. (2015). Genetics and intelligence differences: Five special findings. Molecular Psychiatry, 20(1), 98–108.
Plomin, R., Fulker, D. W., Corley, R., & DeFries, J. C. (1997). Nature, nurture, and cognitive development from 1 to 16 years: A parent-offspring adoption study. Psychological Science, 8, 442–447.
Powers, K. L., Brooks, P. J., Aldrich, N. J., Palladino, M. A., & Alfieri, L. (2013). Effects of video-game play on information processing: A meta-analytic investigation. Psychonomic Bulletin & Review, 20, 1055–1079. https://doi.org/10.3758/s13423-013-0418-z.
Pressley, M., & Hilden, K. (2006). Cognitive strategies: Production deficiencies and successful strategy instruction everywhere. In D. Kuhn & R. S. Siegler (Hrsg.), Handbook of child psychology: Vol. 2 Cognition, perception, and language (6. Aufl., S. 511–556). Hoboken: Wiley.
Puma, M., Bell, S., Cook, R., Heid, C., Broene, P., Jenkins, F., … Downer, J. T. (2012). Third grade follow-up to the Head Start impact study: Final report [Executive summary] (OPRE Report 2012-45b). Washington, DC: U.S. Administration for Children and Families, Office of Planning, Research and Evaluation. https://eric.ed.gov/?id=ED539264. Zugegriffen am 05.10.2020.
Quinn, G. E., Shin, C. H., Maguire, M. G., & Stone, R. A. (1999). Myopia and ambient lighting at night. Nature, 399, 113–114.
Ramey, C. T., & Ramey, S. L. (2004). Early learning and school readiness: Can early intervention make a difference? Merrill-Palmer Quarterly, 50, 471–491.
Ramey, C. T., Campbell, F. A., Burchinal, M., Skinner, M. L., Gardner, D. M., & Ramey, S. L. (2000). Persistent effects of early childhood education on high-risk children and their mothers. Applied Developmental Science, 4, 2–14.
Ramirez, G., & Beilock, S. L. (2011). Writing about testing worries boosts exam performance in the classroom. Science, 331, 211–213.
Ramirez, G., Gunderson, E. A., Levine, S. C., & Beilock, S. L. (2012). Spatial anxiety relates to spatial abilities as a function of working memory in children. Quarterly Journal of Experimental Psychology, 65, 474–487. https://doi.org/10.1080/17470218.2011.616214.
Reynolds, A. J., Temple, J. A., & Ou, S. R. (2010). Preschool education, educational attainment, and crime prevention: Contributions of cognitive and non-cognitive skills. Children and Youth Services Review, 32(8), 1054–1063. https://doi.org/10.1016/j.childyouth.2009.10.019.
Ritchie, S. J. (2016). Intelligence: All that matters. London: Hodder & Stoughton.
Ritchie, S. J., & Tucker-Drob, E. M. (2018). How much does education improve intelligence? A meta-analysis. Psychological Science, 29(8), 1358–1369. https://doi.org/10.1177/0956797618774253.
Röber-Siekmeyer, C. (2004). Schrifterwerb. In K. Knapp, G. Antos, M. Becker-Mrotzek, A. Deppermann, S. Göpferich, J. Grabowski, M. Klemm, & C. Villiger (Hrsg.), Angewandte Linguistik (S. 5–25). Tübingen: Narr.
Sackett, P. R., Borneman, M. J., & Connelly, B. S. (2008). High stakes testing in higher education and employment: Appraising the evidence for validity and fairness. American Psychologist, 63, 215–227. https://doi.org/10.1037/0003-066X.63.4.215.
Salthouse, T. A. (2009). Decomposing age correlations on neuropsychological and cognitive variables. Journal of the International Neuropsychological Society, 15, 650–661. https://doi.org/10.1017/S1355617709990385.
Sameroff, A. J., Seifer, R., Baldwin, A., & Baldwin, C. (1993). Stability of intelligence from preschool to adolescence: The influence of social and family risk factors. Child Development, 64, 80–97.
Scarr, S. (1992). Developmental theories for the 1990s: Development and individual differences. Child Development, 63, 1–19.
Schlaggar, B. L., & Church, J. A. (2009). Functional neuroimaging insights into the development of skilled reading. Current Directions in Psychological Science, 18, 21–26.
Schmidt, F. L., & Hunter, J. (2004). General mental ability in the world of work: Occupational attainment and job performance. Journal of Personality and Social Psychology, 86, 162–173. https://doi.org/10.1037/0022-3514.86.1.162.
Schneider, M., Merz, S., Stricker, J., De Smedt, B., Torbeyns, J., Verschaffel, L., & Luwel, K. (2018). Associations of number line estimation with mathematical competence: A meta-analysis. Child Development, 89(5), 1467–1484. https://doi.org/10.1111/cdev.13068.
Segal, N. L., McGuire, S. A., Havlena, J., Gill, P., & Hershberger, S. L. (2007). Intellectual similarity of virtual twin pairs: Developmental trends. Personality and Individual Differences, 42, 1209–1219. https://doi.org/10.1016/j.paid.2006.09.028.
Shalev, R. S. (2007). Prevalence of developmental dyscalculia. In D. B. Berch & M. M. M. Mazzocco (Hrsg.), Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (S. 49–60). Baltimore: Paul H. Brookes.
Share, D. L. (2004). Knowing letter names and learning letter sounds: A causal connection. Journal of Experimental Child Psychology, 88, 213–233. https://doi.org/10.1016/j.jecp.2004.03.005.
Shaywitz, S. E., Mody, M., & Shaywitz, B. A. (2006). Neural mechanisms in dyslexia. Current Directions in Psychological Science, 15, 278–281.
Siegel, L. S. (1993). The cognitive basis of dyslexia. In M. L. Howe & R. Pasnak (Hrsg.), Minnesota symposia on child psychology: Vol. 2 Competencies Emerging themes in cognitive development (S. 33–52). New York: Springer.
Siegler, R. S. (1986). Unities in strategy choices across domains. In M. Perlmutter (Hrsg.), Perspectives on intellectual development (Bd. 19, S. 1–48). Hillsdale: Erlbaum.
Siegler, R. S. (1987). The perils of averaging data over strategies: An example from children’s addition. Journal of Experimental Psychology: General, 116, 250–264.
Siegler, R. S. (1996). Emerging minds: The process of change in children’s thinking. New York: Oxford University Press.
Siegler, R. S., & Booth, J. L. (2004). Development of numerical estimation in young children. Child Development, 75, 428–444. https://doi.org/10.1111/j.1467-8624.2004.00684.x.
Siegler, R. S., & Mu, Y. (2008). Chinese children excel on novel mathematics problems even before elementary school. Psychological Science, 19, 759–763. https://doi.org/10.1111/j.1467-9280.2008.02153.x.
Siegler, R. S., & Ramani, G. B. (2009). Playing linear number board games – but not circular ones – improves low-income preschoolers’ numerical understanding. Journal of Educational Psychology, 101, 545–560. https://doi.org/10.1037/a0014239.
Simon, T. J., & Rivera, S. M. (2007). Neuroanatomical approaches to the study of mathematical ability and disability. In D. B. Berch & M. M. M. Mazzocco (Hrsg.), Why is math so hard for some children? The nature and origins of mathematical learning difficulties and disabilities (S. 283–305). Baltimore: Paul H. Brookes.
Smith, S. A., & Murphy, V. A. (2015). Measuring productive elements of multi-word phrase vocabulary knowledge among children with English as an additional or only language. Reading and Writing, 28(3), 347–369. https://doi.org/10.1007/s11145-014-9527-y.
Solis, M., Ciullo, S., Vaughn, S., Pyle, N., Hassaram, B., & Leroux, A. (2012). Reading comprehension interventions for middle school students with learning disabilities: A synthesis of 30 years of research. Journal of Learning Disabilities, 45(4), 327–340. https://doi.org/10.1177/0022219411402691.
Spearman, C. E. (1927). The abilities of man, their nature and measurement. New York: Macmillan.
Statistisches Bundesamt. (2020). Qualitätsbericht: Mikrozensus 2019. https://www.destatis.de/DE/Methoden/Qualitaet/Qualitaetsberichte/Bevoelkerung/mikrozensus-2019.pdf?__blob=publicationFile. Zugegriffen am 05.10.2020.
Sternberg, R. J. (1999). The theory of successful intelligence. Review of General Psychology, 3, 292–316. https://doi.org/10.1037/1089-2680.3.4.292.
Sternberg, R. J. (2003). A broad view of intelligence: The theory of successful intelligence. Consulting Psychology Journal: Practice and Research, 55, 139–154. https://doi.org/10.1037/1061-4087.55.3.139.
Sternberg, R. J. (2008). g, g’s, or Jeez: Which is the best model for developing abilities, competencies, and expertise? In P. C. Kyllonen, R. D. Roberts, & L. Stankov (Hrsg.), Extending intelligence: Enhancement and new constructs (S. 225–266). New York: Erlbaum.
Tanaka, H., Black, J. M., Hulme, C., Stanley, L. M., Kesler, S. R., Whitfield-Gabrieli, S., & Hoeft, F. (2011). The brain basis of the phonological deficit in dyslexia is independent of IQ. Psychological Science, 22, 1442–1451.
Thelen, E., & Smith, L. B. (2006). Dynamic systems theories. In R. M. Lerner (Hrsg.), Handbook of child psychology: Vol. 1 Theoretical models of human development (6. Aufl., S. 258–312). Hoboken: Wiley.
Thompson, C. A., & Opfer, J. E. (2010). How 15 hundred is like 15 cherries: Effect of progressive alignment on representational changes in numerical cognition. Child Development, 81, 1768–1786. https://doi.org/10.1111/j.1467-8624.2010.01509.x.
Thurstone, L. L. (1938). Primary mental abilities. Chicago: The University of Chicago Press.
Tolchinsky, L. (2003). The cradle of culture and what children know about writing and numbers before being taught. Mahwah: Erlbaum.
Totsika, V., & Sylva, K. (2004). The home observation for measurement of the environment revisited. Child and Adolescent Mental Health, 9(1), 25–35. https://doi.org/10.1046/j.1475-357X.2003.00073.x.
Trzaskowski, M., Yang, J., Visscher, P. M., & Plomin, R. (2014). DNA evidence for strong genetic stability and increasing heritability of intelligence from age 7 to 12. Molecular Psychiatry, 19(3), 380–384.
Tucker-Drob, E. M., & Bates, T. C. (2016). Large cross-national differences in gene × socioeconomic status interaction on intelligence. Psychological Science, 27(2), 138–149. https://doi.org/10.1177/0956797615612727.
Tucker-Drob, E. M., Rhemtulla, M., Harden, K. P., Turkheimer, E., & Fask, D. (2011). Emergence of a gene 3 socioeconomic status interaction on infant mental ability between 10 months and 2 years. Psychological Science, 22, 125–133. https://doi.org/10.1177/0956797610392926.
Turkheimer, E., Haley, A., Waldron, M., D’Onofrio, B., & Gottesman, I. I. (2003). Socioeconomic status modifies heritability of IQ in young children. Psychological Science, 14, 623–628.
U.S. Department of Health and Human Services, Administration for Children and Families. (2010). Head start impact study: Final report, executive summary. https://www.acf.hhs.gov/sites/default/files/opre/executive_summary_final_508.pdf. Zugegriffen am 05.10.2020.
U.S. Department of Health and Human Services, Administration for Children and Families. (2019). Head start program facts: Fiscal year 2018. https://eclkc.ohs.acf.hhs.gov/sites/default/files/pdf/no-search/hs-program-fact-sheet-2018.pdf. Zugegriffen am 05.10.2020.
Uhlhaas, P. J., Roux, F., Rodriguez, E., Rotarska-Jagiela, A., & Singer, W. (2010). Neural synchrony and the development of cortical networks. Trends in Cognitive Sciences, 14(2), 72–80. https://doi.org/10.1016/j.tics.2009.12.002.
Unsworth, N., Redick, T. S., McMillan, B. D., Hambrick, D. Z., Kane, M. J., & Engle, R. W. (2015). Is playing video games related to cognitive abilities? Psychological Science, 26(6), 759–774. https://doi.org/10.1177/0956797615570367.
Vellutino, F. R., & Scanlon, D. M. (1987). Phonological coding, phonological awareness, and reading ability: Evidence from a longitudinal and experimental study. Merrill-Palmer Quarterly, 33, 321–363.
Vernon, P. A., Wickett, J. C., Bazana, P. G., & Stelmack, R. M. (2000). The neuropsychology and psychophysiology of human intelligence. In R. J. Sternberg (Hrsg.), Handbook of intelligence (S. 245–266). Cambridge, UK: Cambridge University Press.
Wang, Z., Sabatini, J., O’Reilly, T., & Weeks, J. (2019). Decoding and reading comprehension: A test of the decoding threshold hypothesis. Journal of Educational Psychology, 111(3), 387–401. https://doi.org/10.1037/edu0000302.
Waters, H. S. (1980). „Class news“: A single-subject longitudinal study of prose production and schema formation during childhood. Journal of Verbal Learning and Verbal Behavior, 19, 152–167.
Watts, T. W., Duncan, G. J., Siegler, R. S., & Davis-Kean, P. E. (2014). What’s past is prologue: Relations between early mathematics knowledge and high school achievement. Educational Researcher, 43(7), 352–360. https://doi.org/10.3102/0013189X14553660.
West, J., Denton, K., & Germino-Hausken, E. (2000). America’s kindergartners. NCES, Bd. 2000-070. Washington, DC: U.S. Department of Education, National Center for Education Statistics.
Westinghouse Learning Corporation. (1969). The impact of Head Start: An evaluation of the effects of Head Start on children’s cognitive and affective development. Springfield: Clearinghouse for Federal Scientific & Technical Information.
Whitehurst, G. J., Zevenbergen, A. A., Crone, D. A., Schultz, M. D., Velting, O. N., & Fischel, J. E. (1999). Outcomes of an emergent literacy intervention from Head Start through second grade. Journal of Educational Psychology, 91, 261–272.
Willingham, D. T. (2017). The reading mind: A cognitive approach to understanding how the mind reads. San Francisco: Josey-Bass/Wiley.
Young, C. B., Wu, S. S., & Menon, V. (2012). The neurodevelopmental basis of math anxiety. Psychological Science, 23, 492–501. https://doi.org/10.1177/0956797611429134.
Zevenbergen, A. A., & Whitehurst, G. J. (2003). Dialogic reading: A shared picture book reading intervention for preschoolers. In A. van Kleeck, S. A. Stahl, & E. B. Bauer (Hrsg.), On reading books to children: Parents and teachers (S. 177–200). Mahwah: Erlbaum.
Zigler, E., & Styfco, S. J. (2004). The wisdom of a federal effort on behalf of impoverished children and their families. In E. Zigler & S. J. Styfco (Hrsg.), The Head Start debates (S. 221–249). Baltimore: Paul H. Brookes.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2021 Der/die Autor(en), exklusiv lizenziert durch Springer-Verlag GmbH, DE, ein Teil von Springer Nature
About this chapter
Cite this chapter
Siegler, R., Saffran, J.R., Gershoff, E.T., Eisenberg, N. (2021). Intelligenz und schulische Leistungen. In: Entwicklungspsychologie im Kindes- und Jugendalter. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-62772-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-662-62772-3_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-62771-6
Online ISBN: 978-3-662-62772-3
eBook Packages: Psychology (German Language)