Longitudinal mediators of achievement in mathematics and reading in typical and atypical development

Journal of Experimental Child Psychology

Volumn 119, Issue 1, 2014, Pages 1-16

  Barnes, Marcia A ^a,b   Raghubar, Kimberly P ^c   English, Lianne ^d   Williams, Jeffrey M ^a   Taylor, Heather ^a,e   Landry, Susan ^a  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c UNIVERSITY OF HOUSTON   (United States)

^d UNIVERSITY OF GUELPH   (Canada)

^e TIRR MEMORIAL HERMANN   (United States)

Author keywords

Cognitive correlates; Longitudinal; Mathematics; Mediation; Neurodevelopmental disorder; Reading

Indexed keywords

ACHIEVEMENT; ANALYSIS OF VARIANCE; ARTICLE; CHILD; CHILD DEVELOPMENT; COGNITION; COGNITIVE CORRELATES; DEVELOPMENTAL DISORDER; FEMALE; HUMAN; LONGITUDINAL; LONGITUDINAL STUDY; MALE; MATHEMATICS; MEDIATION; NEURODEVELOPMENTAL DISORDER; NEUROPSYCHOLOGICAL TEST; PHONETICS; PHYSIOLOGY; PRESCHOOL CHILD; PROBLEM SOLVING; READING; SHORT TERM MEMORY; SPINAL DYSRAPHISM; STATISTICS;

COGNITIVE CORRELATES; LONGITUDINAL; MATHEMATICS; MEDIATION; NEURODEVELOPMENTAL DISORDER; READING;

ACHIEVEMENT; ANALYSIS OF VARIANCE; CHILD; CHILD DEVELOPMENT; CHILD, PRESCHOOL; COGNITION; DEVELOPMENTAL DISABILITIES; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MATHEMATICS; MEMORY, SHORT-TERM; NEUROPSYCHOLOGICAL TESTS; PHONETICS; PROBLEM SOLVING; READING; SPINAL DYSRAPHISM;

EID: 84888045003     PISSN: 00220965     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jecp.2013.09.006     Document Type: Article

References (65)

1. Ansari D., Dhital B. Age-related changes in the activation of the intraparietal sulcus during nonsymbolic magnitude processing: An event related functional magnetic resonance imaging study. Journal of Cognitive Neuroscience 2006, 18:1820-1828.
2. Ayr L.K., Yeates K.O., Enrile B.G. Arithmetic skills and their cognitive correlates in children with acquired and congenital brain disorder. Journal of the International Neuropsychological Society 2005, 11:249-262.
3. Barbaresi W.J., Katusic S.K., Colligan R.C., Weaver A.L., Jacobsen S.J. Math learning disorder: Incidence in a population-based birth cohort, 1976-1982, Rochester, Minn. Ambulatory Pediatrics 2005, 5:281-289.
4. Barnes M.A., Pengelly S., Dennis M., Wilkinson M., Rogers T., Faulkner H. Mathematics skills in good readers with hydrocephalus. Journal of the International Neuropsychological Society 2002, 8:72-82.
5. Barnes M.A., Stubbs A., Raghubar K.P., Agostino A., Taylor H., Landry S., et al. Mathematical skills in 3- and 5-year-olds with spina bifida and their typically developing peers: A longitudinal approach. Journal of International Neuropsychological Society 2011, 17:1-14.
6. Barnes M.A., Wilkinson M., Khemani E., Boudesquie A., Dennis M., Fletcher J.M. Arithmetic processing in children with spina bifida: Calculation accuracy, strategy use, and fact retrieval fluency. Journal of Learning Disabilities 2006, 39:174-187.
7. Baron R.M., Kenny D.A. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 1986, 51:1173-1182.
8. Blair C., Razza R.P. Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Development 2007, 78:647-663.
9. Bull R., Espy K.A., Wiebe S.A. Short-term memory, working memory, and executive functioning in preschoolers: Longitudinal predictors of mathematical achievement at 7years. Developmental Neuropsychology 2008, 33:205-228.
10. Butterworth B. The mathematical brain 1999, Macmillan, London.
11. Christopher M.E., Miyake A., Keenan J.M., Pennington B., DeFries J.C., Wadsworth S.J., et al. Predicting word reading and comprehension with executive function and speed measures across development: A latent variable analysis. Journal of Experimental Psychology: General 2012, 141:470-488.
12. Costa A.J., Silva J.B., Chagas P.P., Krinzinger H., Lonneman J., Willmes K., et al. A hand full of numbers: A role for offloading in arithmetic learning?. Frontiers in Psychology 2011, 2:368. 10.3389/fpsyg.2011.00368.
13. De Smedt B., Janssen R., Bouwens K., Verschaffel L., Boets B., Ghesquière P. Working memory and individual differences in mathematics achievement: A longitudinal study from first grade to second grade. Journal of Experimental Child Psychology 2009, 103:186-201.
14. De Smedt B., Taylor J., Archibald L., Ansari D. How is phonological processing related to individual differences in children's arithmetic skills?. Developmental Science 2010, 13:508-520.
15. Dehaene S., Piazza M., Pinel P., Cohen L. Three parietal circuits for number processing. Handbook of mathematical cognition 2005, 433-453. Psychology Press, New York. J.I.D. Campbell (Ed.).
16. Dennis M., Barnes M. Math and numeracy in young adults with spina bifida and hydrocephalus. Developmental Neuropsychology 2002, 21:141-155.
17. Dennis M., Barnes M.A. The cognitive phenotype of spina bifida meningomyelocele. Developmental Disabilities Research Reviews 2010, 16:31-39.
18. Fletcher J.M., Copeland K., Fredrick J.A., Blaser S.E., Kramer L.A., Northrup H., et al. Spinal lesion level in spina bifida: A source of neural and cognitive heterogeneity. Journal of Neurosurgery 2005, 102(Suppl. 3):268-279.
19. Fuchs L.S., Fuchs D., Compton D.L., Powell S.R., Seethaler P.M., Capizzi A.M., et al. The cognitive correlates of third-grade skill in arithmetic, algorithmic computation, and arithmetic word problems. Journal of Educational Psychology 2006, 98:29-43.
20. Garon N., Bryson S.E., Smith I.M. Executive function in preschoolers: A review using an integrative framework. Psychological Bulletin 2008, 134:31-60.
21. Geary D.C., Hoard M.K., Byrd-Craven J., Nugent L., Numtee C. Cognitive mechanisms underlying achievement deficits in children with mathematical learning disability. Child Development 2007, 78:1343-1359.
22. Glenberg A., Willford J., Gibson B., Goldberg A., Zhu X. Improving reading to improve math. Scientific Studies of Reading 2012, 16:316-340.
23. Gracie-Bafalluy M., Noel M.-P. Does finger training increase young children's numerical performance?. Cortex 2008, 44:368-375.
24. Hale S., Bronik M.D., Fry A.F. Verbal and spatial working memory in school-age children: Developmental differences in susceptibility to interference. Developmental Psychology 1997, 33:364-371.
25. Harlaar N., Kovas Y., Dale P.S., Petrill S.A., Plomin R. Mathematics is differentially related to reading comprehension and word decoding: Evidence from a genetically sensitive design. Journal of Educational Psychology 2012, 104:622-635.
26. Hecht S.A., Torgesen J.K., Wagner R.K., Rashotte C.A. The relations between phonological processing abilities and emerging individual differences in mathematical computation skills: A longitudinal study from second to fifth grades. Journal of Experimental Child Psychology 2001, 79:192-227.
27. Hollingshead J. A four-factor index of social position 1975, Author, New Haven, CT.
28. Holloway I.D., Ansari D. Mapping numerical magnitudes onto symbols: The numerical distance effect and individual differences in children's mathematics achievement. Journal of Experimental Child Psychology 2009, 103:17-29.
29. Holmes J., Adams J.W. Working memory and children's mathematical skills: Implications for mathematical development and mathematical curricula. Educational Psychology 2006, 26:339-366.
30. Holmes J., Adams J.W., Hamilton C.J. The relationship between visuospatial sketchpad capacity and children's mathematical skills. European Journal of Cognitive Psychology 2008, 20:272-289.
31. Iddon J.L., Morgan D.J.R., Loveday C., Sahakian B.J., Pickard J.D. Neuropsychological profile of young adults with spina bifida with or without hydrocephalus. Journal of Neurology, Neurosurgery, & Psychiatry 2004, 75:1112-1118.
32. Krajewski K., Schneider W. Exploring the impact of phonological awareness, visual-spatial working memory, and preschool quantity-number competencies on mathematics achievement in elementary school: Findings from a 3-year longitudinal study. Journal of Experimental Child Psychology 2009, 103:516-531.
33. Kyttälä M., Lehto J.E. Some factors underlying mathematical performance: The role of visuospatial working memory and non-verbal intelligence. European Journal of Psychology of Education 2008, 23:77-94.
34. LeFevre J., DeStefano D., Coleman B., Shanahan T. Mathematical cognition and working memory. The handbook of mathematical cognition 2005, 361-378. Psychology Press, New York. J.I.D. Campbell (Ed.).
35. LeFevre J.-A., Fast L., Skwarchuk S.-L., Smith-Chant B.L., Bisanz J., Kamawar D., et al. Pathways to mathematics: Longitudinal predictors of performance. Child Development 2010, 81:1753-1767.
36. Lomax-Bream L.E., Barnes M., Copeland K., Taylor H.B., Landry S.H. The impact of spina bifida on development across the first three years. Developmental Neuropsychology 2007, 31:1-20.
37. Mammarella N., Cornoldi C., Donadello E. Visual but not spatial working memory deficit in children with spina bifida. Brain and Cognition 2003, 53:311-314.
38. Mazzocco M.M.M., Feigenson L., Halberda J. Impaired acuity of the approximate number system underlies mathematical learning disability (dyscalculia). Child Development 2011, 82:1224-1237.
39. Mazzocco M.M.M., Feigenson L., Halberda J. Preschoolers' precision of the approximate number system predicts later school mathematics performance. PLoS One 2011, 6:e23749.
40. Mazzocco M.M., Murphy M.M., McCloskey M. The contribution of syndrome research to understanding mathematical learning disability. Why is math so hard for some children? 2007, 173-193. Paul H. Brookes, Baltimore, MD. D.B. Berch, M.M.M. Mazzocco (Eds.).
41. McKenzie B., Bull R., Gray C. The effects of phonological and visual-spatial interference on children's arithmetical performance. Educational and Child Psychology 2003, 20:93-108.
42. Melby-Lervag M., Hulme C. Is working memory training effective? A meta-analytic review. Developmental Psychology 2013, 49:270-291.
43. Meyer M.L., Salimpoor V.N., Wu S.S., Geary D.C., Menon V. Differential contribution of specific working memory components to mathematics achievement in 2nd and 3rd graders. Learning and Individual Differences 2010, 20:101-109.
44. Mix K.S., Huttenlocher J., Levine S.C. Multiple cues for quantification in infancy: Is number one of them?. Psychological Bulletin 2002, 128:278-294.
45. Monette S., Bigras M., Guay M.C. The role of the executive functions in school achievement at the end of Grade 1. Journal of Experimental Child Psychology 2011, 109:158-173.
46. Noel M. Finger gnosia: A predictor of numerical abilities in children?. Child Neuropsychology 2005, 11:413-430.
47. Östergren R., Träff U. Early number knowledge and cognitive ability affect early arithmetic ability. Journal of Experimental Child Psychology 2013, 115:405-421.
48. Penner-Wilger M., Fast L., LeFevre J., Smith-Chant B.L., Skwarchuk S., Kamawar D., et al. The foundations of numeracy: Subitizing, finger gnosia, and fine motor ability. Proceedings of the 29th annual cognitive science society 2007, 1385-1390. Cognitive Science Society, Austin, TX. D.S. McNamara, J.G. Trafton (Eds.).
49. Pike M., Swank P., Taylor H., Landry S., Barnes M.A. Effect of preschool working memory, language, and narrative abilities on inferential comprehension at school-age in children with spina bifida myelomeningocele and typically developing children. Journal of the International Neuropsychological Society 2013, 19:390-399.
50. Plomin R., Kovas Y. Generalist genes and learning disabilities. Psychological Bulletin 2005, 131:592-617.
51. Preacher K.J., Hayes A.F. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods 2008, 40:879-891.
52. Raghubar K.P., Barnes M.A., Hecht S.A. Working memory and mathematics: A review of developmental, individual difference, and cognitive approaches. Learning and Individual Differences 2010, 20:110-122.
53. Rasmussen C., Ho E., Bisanz J. Use of the mathematical principle of inversion in young children. Journal of Experimental Child Psychology 2003, 85:89-102.
54. Reeve R., Humberstone J. Five- to 7-year-olds' finger gnosia and calculation abilities. Frontiers in Psychology 2011, 2:359. 10.3389/fpsyg.2011.00359.
55. Roid G.H., Miller L.J. Leiter international performance scale-Revised 1997, Stoelting, Wood Dale, IL.
56. Shalev R.S., Auerbach J., Manor O., Gross-Tsur V. Developmental dyscalculia: Prevalence and prognosis. European Child & Adolescent Psychiatry 2000, 9:58-64.
57. Swanson H.L., Beebe-Frankenberger M. The relationship between working memory and mathematical problem solving in children at risk and not at risk for serious math difficulties. Journal of Educational Psychology 2004, 96:471-491.
58. Swanson H.L., Jerman O. Math disabilities: A selective meta-analysis of the literature. Review of Educational Research 2006, 76:249-274.
59. Swanson H.L., Zheng X., Jerman O. Working memory, short-term memory, and reading disabilities: A selective meta-analysis of the literature. Journal of Learning Disabilities 2009, 42:260-287.
60. Thorndike R.L., Hagen E.P., Sattler J.M. Stanford-Binet intelligence scale-Fourth edition 1989, Riverside, Chicago.
61. Toll S.W.M., Van der Ven S.H.G., Kroesbergen E.H., Van Luit E.H. Executive functions as predictors of math learning disabilities. Journal of Learning Disabilities 2011, 44:521-532.
62. Wagner R., Torgesen J.K., Rashotte C.A. Comprehensive test of phonological processing 1999, Pro-Ed, Austin, TX.
63. Wass S.V., Scerif G., Johnson M.H. Training attentional control and working memory-Is younger, better?. Developmental Review 2012, 32:360-387.
64. Woodcock R.W., McGrew K.S., Mather N. Woodcock-Johnson III tests of academic achievement 2001, Riverside, Itasca, IL.
65. Woodcock R.W., McGrew K.S., Mather N. Woodcock-Johnson III tests of cognitive abilities 2001, Riverside, Itasca, IL.