Time estimation deficits in childhood mathematics difficulties

Journal of Learning Disabilities

Volumn 47, Issue 5, 2014, Pages 450-461

  Hurks, Petra P M ^a   van Loosbroek, Erik ^a  

^a MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

Childhood; Executive functioning; Mathematics difficulties; Time perception

Indexed keywords

ADOLESCENT; CHILD; DECISION MAKING; DYSCALCULIA; EXECUTIVE FUNCTION; FEMALE; HUMAN; MALE; MATHEMATICS; PROBLEM SOLVING; PSYCHOLOGY; SHORT TERM MEMORY; TIME PERCEPTION;

ADOLESCENT; CHILD; DECISION MAKING; DYSCALCULIA; EXECUTIVE FUNCTION; FEMALE; HUMANS; JUDGMENT; MALE; MATHEMATICS; MEMORY, SHORT-TERM; PROBLEM SOLVING; TIME PERCEPTION;

EID: 84927784414     PISSN: 00222194     EISSN: None     Source Type: Journal    
DOI: 10.1177/0022219412468161     Document Type: Article

References (85)

1. Assink, E. M. H., Kattenberg, G., & Wortmann, C. (1998). Exploring the boundaries of sublexical word identification units: The use of onsets and rimes and reading ability. Journal of Psycholinguistic Research, 27, 639-659.
2. Aunola, K., Leskinen, E., Lerkkanen, M. K., & Nurmi, J. E. (2004). Developmental dynamics of math performance from preschool to grade 2. Journal of Educational Psychology, 96, 699−713.
3. Baddeley, A. (2010). Working memory. Current Biology, 20, R136-R140.
4. Baddeley, A. D., & Hitch, G. J. (1974). Working memory (Vol. 8). New York, NY: Academic Press.
5. Barry, P., & Riley, J. M. (1987). Adult norms for the Kaufman Hand Movements Test and a single-subject design for acute brain injury rehabilitation. Journal of Clinical and Experimental Neuropsychology, 9, 449-455.
6. Bauermeister, J. J., Barkley, R. A., Martinez, J. V., Cumba, E., Ramirez, R. R., Reina, G., & Salas, C. C. (2005). Time estimation and performance on reproduction tasks in subtypes of children with attention deficit hyperactivity disorder. Journal of Clinical Child and Adolescent Psychology, 34, 151-162.
7. Block, R. A., Zakay, D., & Hancock, P. A. (1998). Human aging and duration judgments: A meta-analytic review. Psychology and Aging, 13, 584-596.
8. Boivin, M. J., Bangirana, P., & Smith, R. C. (2010). The relationship between visual-spatial and auditory-verbal working memory span in Senegalese and Ugandan children. PLoS ONE, 5, e8914.
9. Booth, J. L., & Siegler, R. S. (2006). Developmental and individual differences in pure numerical estimation. Developmental Psychology, 42, 189-201.
10. Bravo, G., & Potvin, L. (1991). Estimating the reliability of continuous measures with Cronbach’s alpha or the intraclass correlation coefficient: Toward the integration of two traditions. Journal of Clinical Epidemiology, 44, 381-390.
11. Brocki, K. C., & Bohlin, G. (2004). Executive functions in children aged 6 to 13: A dimensional and developmental study. Developmental Neuropsychology, 26, 571-593.
12. Brooker, A. (1997). Performance on the Wechsler Memory Scale-Revised for patients with mild traumatic brain injury and mild dementia. Perceptual and Motor Skills, 84, 131-138.
13. Brown, S. W. (1997). Attentional resources in timing: Interference effects in concurrent temporal and nontemporal working memory tasks. Perception and Psychophysics, 59, 1118-1140.
14. Brus, B. T., & Voeten, M. J. M. (1973). Eén-Minuut-Test [One Minute Test]. Nijmegen, Netherlands: Berkhout.
15. Buckley, P. B., & Gilman, C. B. (1974). Comparison of digits and dot patterns. Journal of Experimental Psychology, 103, 1131-1136.
16. Buhusi, C. V., & Meck, W. H. (2005). What makes us tick? Functional and neural mechanisms of interval timing. Neuroscience, 6, 755-765.
17. Bull, R., Andrews Espy, K., & Wiebe, S. A. (2008). Short-term memory, working memory, and executive functioning in preschoolers: Longitudinal predictors of mathematical achievement at age 7 years. Developmental Neuropsychology, 33, 205-228.
18. Bull, R., & Scerif, G. (2001). Executive functioning as a predictor of children’s mathematics ability: Inhibition, switching, and working memory. Developmental Neuropsychology, 19, 273-293.
19. Cappalletti, M., Freeman, E. D., & Cipolotti, L. (2009). Dissociations and interactions between time, numerosity and space processing. Neuropsychologia, 47, 2732-2748.
20. Chaston, A., & Kingstone, A. (2004). Time estimation: The effect of cortically mediated attention. Brain and Cognition, 55, 286-289.
21. De Bruyn, E. E. J., Van der Steene, G., & Van Haasen, P. P. (Eds.) (1986). Wechsler Intelligence Scale for Children-Revised (WISC-R). Lisse, Netherlands: Swets & Zeitlinger.
22. De Jonge, P., & De Jong, P. F. (1996). Working memory, intelligence and reading ability in children. Personality and Individual Differences, 21, 1007-1020.
23. De Vos, T. (1992). TTR. Tempotest rekenen [Arithmetic number fact test]. Lisse, Netherlands: Swets & Zeitlinger.
24. Dehaene, S. (1997). The number sense: How the mind creates mathematics. Oxford, UK: Oxford University Press.
25. Dehaene, S., Dupoux, E., & Mehler, J. (1990). Is numerical comparison digital? Analogical and symbolic effects in two-digit number comparison. Journal of Experimental Psychology: Human Perception and Performance, 16, 626-641.
26. Dormal, V., Seron, X., & Pesenti, M. (2006). Numerosity-duration interference: A Stroop experiment. Acta Psychologica, 121, 109-124.
27. Espy, K., McDiarmid, M., Kwik, M., Stalets, M., Hamby, A., & Senn, T. (2004). The contribution of executive functions to emergent mathematic skills in preschool children. Developmental Neuropsychology, 26, 465-486.
28. Fox, G., & Fox, A. M. (2001). The effects of brain damage on the performance of hand movement sequences. Brain Impairment, 2, 140-144.
29. Frencham, K. A. R., Fox, A. M., & Maybery, M. T. (2003). The Hand Movement Test as a tool in neuropsychological assessment: Interpretation within a working memory theoretical framework. Journal of the International Neuropsychological Society, 9, 633-641.
30. Geary, D. C., Brown, S. C., & Samaranayake, V. A. (1991). Cognitive addition: A short longitudinal study of strategy choice and speed of processing differences in normal and mathematically disabled children. Developmental Psychology, 27, 787-797.
31. Geary, D. C., Hamson, C. O., & Hoard, M. K. (2000). Numerical and arithmetic cognition: A longitudinal study of process and concept deficits in children with learning disability. Journal of Experimental Child Psychology, 77, 236-263.
32. Gilliland, A. R., & Martin, R. (1940). Some factors in estimating short time interval. Journal of Experimental Psychology, 27, 243-255.
33. Gonzalez-Garrido, A A., Gomez-Velazquez, F. R., Zarabozo, D., Lopez-Elizalde, R., Ontiveros, A., Madera-Carrillo, H., & De La Serna Tuya, J. M. (2008). Time reproduction disturbances in ADHD children: An ERP study. International Journal of Neuroscience, 118, 119-135.
34. Gooch, D., Snowling, M., & Hulme, C. (2011). Time perception, executive function and phonological skills in children with dyslexia and/or ADHD symptoms. Journal of Child Psychology and Psychiatry, 5, 195-203.
35. Hemmes, N. S., Brown, B. L., & Kladopoulos, C. N. (2004). Time perception with and without a concurrent nontemporal task. Perception & Psychophysics, 66, 328-341.
36. Hendriksen, J. G. M., & Hurks, P. P. M. (2010). WPPSI-IIINL Nederlandstalige bewerking: Technische handleiding [WPPSI-III-NL Dutch version: Technical manual] (2nd ed.). Amsterdam, Netherlands: Pearson.
37. Hinton, S. C., & Rao, S. M. (2004). “One-thousand one . . . onethousand two . . .”: Chronometric counting violates the scalar property in interval timing. Psychonomic Bulletin & Review, 11, 24-30.
38. Holmes, J., & Adams, J. W. (2006). Working memory and children’s mathematical skills: Implications for mathematical development and mathematics curricula. Educational Psychology, 26, 339-366.
39. Hurks, P. P. M., & Hendriksen, J. G. M. (2011). Retrospective and prospective time deficits in childhood ADHD: The effects of task modality, duration, and symptom dimensions. Child Neuropsychology, 17, 34-50.
40. Hurks, P. P. M., Vles, J. S. H., Hendriksen, J. G. M., Kalff, A. C., Feron, F. J. M., Kroes, M., & Jolles, J. (2006). Semantic category fluency versus initial letter fluency over 60 seconds as a measure of automatic and controlled processing in healthy school-aged children. Journal of Clinical and Experimental Neuropsychology, 28, 684-695.
41. Jordan, N. C., Hanich, L. B., & Kaplan, D. (2003). A longitudinal study of mathematical competencies in children with specific mathematics difficulties versus children with co-morbid mathematics and reading difficulties. Child Development, 74, 834-850.
42. Jordan, N. C., Kaplan, D., & Hanich, L. B. (2002). Achievement growth in children with learning difficulties in mathematics: Findings of a two-year longitudinal study. Journal of Educational Psychology, 96, 586-597.
43. Kaufman, A. S., & Kaufman, N. L. (1983). Kaufman Assessment Battery for Children (K-ABC). Minnesota, USA: American Guidance Service, Inc.
44. Knauss, M. E., Stavrinos, D., Pendleton, S., de Jong, D., & Schwebel, D. C. (2009, March). Visual inattention in ADHD and risky pedestrian behavior. Paper presented at the 2009 Society for the Advancement of Violence and Injury Research, Atlanta, GA.
45. Korkman, M., Kemp, S. L., & Kirk, U. (2001). Effects of age on neurocognitive measures of children ages 5 to 12: A crosssectional study on 800 children from the United States. Developmental Neuropsychology, 20, 331-354.
46. Landerl, K., Bevan, A., & Butterworth, B. (2004). Developmental dyscalculia and basic numerical capacities: A study of 8-9-year-old students. Cognition, 93, 99-125.
47. Lezak, M. (2004). Neuropsychological Assessment. New York, NY: Oxford University Press.
48. Lipton, J. S., & Spelke, E. S. (2005). Preschool children’s mapping of number words to nonsymbolic numerosities. Child Development, 76, 978-988.
49. Maquet, P., Lejeune, H., Pouthas, V., Bonnet, M., Casini, L., Macar, F., & Comar, D. (1996). Brain activation induced by estimation of duration: A PET study. Neuroimage, 3, 119-126.
50. Martens, R., Hurks, P. P. M., Meijs, C., Wassenberg, R., & Jolles, J. (2011). Sex differences in arithmetical performance scores: Central tendency and variability. Learning and Individual Differences, 21, 549-554.
51. Martinussen, R., Hayden, J., Hogg-Johnson, S., & Tannock, R. (2005). A meta-analysis of working memory impairments in children with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 44, 377-384.
52. Matazow, G. S., Kamphaus, R. W., Stanton, H. C., & Reynolds, C. R. (1991). Reliability of the Kaufman Assessment Battery for Children for black and white students. Journal of School Psychology, 29, 37-41.
53. Mazzocco, M. M. M. (2001). Math learning disability and math LD subtypes: Evidence from studies of Turner syndrome, fragile X syndrome, and neurofibromatosis type 1. Journal of Learning Disabilities, 34, 520-533.
54. McLean, J. F., & Hitch, G. J. (1999). Working memory impairments in children with specific arithmetical difficulties. Journal of Experimental Child Psychology, 7, 240-260.
55. Meck, W. H., & Church, R. M. (1983). A mode control model of counting and timing processes. Journal of Experimental Psychology: Animal Behavior Processes, 9, 320-334.
56. Meesters, C., Van Gastel, N., Ghys, A., & Merckelbach, H. (1998). Factor analyses of WISC-R and K-ABC in a Dutch sample of children referred for learning disabilities. Journal of Clinical Psychology, 54, 1053-1061.
57. Meichers, P., & Preuss, U. (2001). Kaufman Assessment Battery for children (K-ABC). Leiden, Netherlands: PITS.
58. Moyer, R. S., & Landauer, T. K. (1967). Time required for judgements of numerical inequality. Nature, 215, 1519-1520.
59. Nicholson, R. I., Fawcett, A. J., & Dean, P. (1995). Time estimation deficits in developmental dyslexia: Evidence of cerebellar involvement. Proceedings of the Royal Society: Biological Sciences, 259, 43-47.
60. Oliveri, M., Vicario, C. M., Salerno, S., Koch, G., Turriziani, P., Mangano, R., & Caltagirone, C. (2008). Perceiving numbers alters time perception. Neuroscience Letters, 438, 308-311.
61. Passolunghi, M. C., Vercelloni, B., & Schadee, H. (2006). The precursors of mathematics learning: Working memory, phonological ability and numerical competence. Cognitive Development, 22, 165-184.
62. Perbal, S., Droit-Volet, S., Isingrini, M., & Pouthas, V. (2002). Relationships between age-related changes in time estimation and age-related changes in processing speed, attention, and memory. Aging, Neuropsychology and Cognition, 9, 201-216.
63. Pouthas, V., Garnero, L., Ferrandez, A. M., & Renault, B. (2000). ERPs and PET analysis of time perception: Spatial and temporal brain mapping during visual discrimination tasks. Human Brain Mapping, 10, 49-60.
64. Price, G. R., Holloway, I., Rasanen, P., Vesterinen, M., & Ansari, D. (2007). Impaired parietal magnitude processing in developmental dyscalculia. Current Biology, 17, R1042-R1043.
65. Reynolds, C. R., & Livingston, R. B. (2012). Mastering modern psychological testing: Theory and methods. Boston, MA: Pearson.
66. Rietveld, M. J., Dolan, C. V., Van Baal, G. C., & Boomsma, D. I. (2003). A twin study of differentiation of cognitive abilities in childhood. Behavioral Genetics, 33, 367-381.
67. Rousselle, L., & Noel, M. (2007). Basic numerical skills in children with mathematics learning disabilities: A comparison of symbolic vs non-symbolic number magnitude processing. Cognition, 102, 361-395.
68. Rykhlevskaia, E., Uddin, L. Q., Kondos, L., & Menon, V. (2009). Neuroanatomical correlates of developmental dyscalculia: Combined evidence from morphometry and tractography. Frontiers in Human Neuroscience, 3, 1-13.
69. Sattler, J. M., & Ryan, J. J. (1999). Assessment of children: WAISIII supplement. San Diego, CA: Jerome M. Sattler.
70. Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlation uses in assessing rater reliability. Psychological Bulletin, 86, 420-428.
71. Shum, D., Neulinger, K., O’Callaghan, M., & Mohay, H. (2008). Attentional problems in children born very preterm or with extremely low birth weight at 7-9 years. Archives of Clinical Neuropsychology, 23, 103-112.
72. Smyth, M. M., & Pendleton, L. (1989). Working memory for movements. Quarterly Journal of Experimental Psychology, 41A, 235-250.
73. Swanson, L., & Kim, K. (2007). Working memory, short-term memory, and naming speed as predictors of children’s mathematical performance. Intelligence, 35, 151-168.
74. Toplak, M. E., & Tannock, R. (2005). Time perception: Modality and duration effects in attention-deficit and hyperactivity disorder. Journal of Abnormal Child Psychology, 33, 639-654.
75. Van der Sluis, S., De Jong, P. F., & Van der Leij, A. (2007). Executive functioning in children, and its relations with reasoning, reading, and arithmetic. Intelligence, 35, 427-449.
76. Varnum, M. E. W., Grossmann, I., Kitayama, S., & Nisbett, R. E. (2010). The origin of cultural differences in cognition: Evidence for the social orientation hypothesis. Current Directions in Psychological Science, 19, 9-13.
77. Von Aster, M. (2000). Developmental cognitive neuropsychology of number processing and calculation: Varieties of developmental dyscalculia. European Child & Adolescent Psychiatry, 9, II/41-II/57.
78. Von Aster, M. G. (2001). Die Neuropsychologische Testbatterie für Zahlenverarbeitung und Rechnen bei Kindern (ZAREKI) [The Neuropsychological Test Battery for Number processing and Calculation in Children (NUCALC)]. Lisse, Netherlands: Swets & Zeitlinger, Swets Test Services.
79. Walsh, V. (2003). A theory of magnitude: Common cortical metrics of time, space and quantity. Trends in Cognitive Sciences, 7, 483-488.
80. Wearden, J. H., & Lejeune, H. (2008). Scalar properties in human timing: Conformity and violations. Quarterly Journal of Experimental Psychology, 61, 569-587.
81. Wechsler, D. (2002). WPPSI-III administration and scoring manual. San Antonio, TX: Psychological Corporation.
82. Whalen, J., Gallistel, C., & Gelman, R. (1999). Nonverbal counting in humans: The psychophysics of number representation. Psychological Science, 10, 130-138.
83. World Health Organization. (1992). The ICD-10 classification of mental and behavioural disorders: Clinical description and diagnostic guidelines. Geneva, Switzerland: Author.
84. Zakay, D. (1990). The evasive art of subjective time measurement: Some methodological dilemmas. In R. A. Block (Ed.), Cognitive models of psychological time (pp. 59-84). Hillsdale, NJ: Lawrence Erlbaum.
85. Zelanti, P. S., & Droit-Volet, S. (2011). Cognitive abilities explaining age-related changes in time perception of short and long durations. Journal of Experimental Child Psychology, 109