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Original Articles

Effects of Improvements in Interval Timing on the Mathematics Achievement of Elementary School Students

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Pages 352-366 | Received 14 May 2013, Accepted 19 Sep 2013, Published online: 22 Jun 2015

REFERENCES

  • Ackerman, P. L., Beier, M. E., & Boyle, M. O. (2002). Individual differences in working memory within a nomological network of cognitive and perceptual speed abilities. Journal of Experimental Psychology: General, 131(4), 567–589.
  • Ashcraft, M. H. (1995). Cognitive psychology and simple arithmetic: A review and summary of new directions. Mathematical Cognition, 1, 3–34.
  • Baddeley, A. D. (1996). Exploring the central executive. Quarterly Journal of Experimental Psychology, 49A, 5–28.
  • Baddeley, A. (2012). Working memory: Theories, models, and controversies. Annual Review of Psychology, 63, 1–29.
  • Barkley, R. (1997a). Attention-deficit/hyperactivity disorder, self-regulation, and time: Toward a more comprehensive theory. Journal of Developmental and Behavioral Pediatrics, 18, 271–279.
  • Barkley, R. A. (1997b). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121, 65–94.
  • Barrouillet, P., Fayol, M., & Lathulière, E. (1997). Selecting between competitors in multiplication tasks: An explanation of the errors produced by adolescents with learning disabilities. International Journal of Behavioral Development, 21(2), 253–275.
  • Bayliss, D. M., Jarrold, C., Gunn, D. M., & Baddeley, A. D. (2003). The complexities of complex span: Explaining individual differences in working memory in children and adults. Journal of Experimental Psychology General, 132(1), 71–92.
  • Berch, D. B. (2005). Making sense of number sense: Implications for children with mathematical disabilities. Journal of Learning Disabilities, 38(4), 333–339.
  • Brown, S., & Bennett, E. (2002). The role of practice and automaticity in temporal and nontemporal dual-task performance. Psychological Research, 66(1), 80–89.
  • Bryant, B. R., & Rivera, D. P. (1997). Educational assessment of mathematics skills and abilities. Journal of Learning Disabilities, 30, 57–68.
  • Buhusi, C. V., & Meck, W. H. (2005). What makes us tick? Functional and neural mechanisms of interval timing. Nature Reviews Neuroscience, 6(10), 755–765. doi:10.1038/nrn1764
  • Bull, R., & Johnston, R. S. (1997). Children’s arithmetic difficulties: Contributions from processing speed, item identification, and short-term memory. Journal of Experimental Child Psychology, 65, 1–24.
  • Bull, R., Johnston, R. S., & Roy, J. A. (1999). Exploring the roles of the visual-spatial sketch pad and central executive in children’s arithmetical skills: Views from cognition and developmental neuropsychology. Developmental Neuropsychology, 15, 421–442.
  • Case, R., & Toronto, U. (1982). Operational efficiency and the growth of short-term memory span. Journal of Experimental Child Psychology, 33(3), 386–404.
  • Chiappe, D., & MacDonald, K. (2005). The evolution of domain-general mechanisms in intelligence and learning. Journal of General Psychology, 132(1), 5–40. doi:10.3200/GENP.132.1.5-40
  • Chun, M. M., Golomb, J. D., & Turk-Browne, N. B. (2011). A taxonomy of external and internal attention. Annual Review of Psychology, 62, 73–101.
  • Conway, A. R. A., Cowan, N., Bunting, M. F., Therriault, D. J., & Minkoff, S. R. B. (2002). A latent variable analysis of working memory capacity, short-term memory capacity, processing speed, and general fluid intelligence. Intelligence, 30(2), 163–183.
  • Ellis, M. C. (1992). Tempo perception and performance of elementary students, grades 3-6. Journal of Research in Music Education, 40, 329–341.
  • Engbert, R., Scheffczyk, C., Krampe, R. T., Rosenblum, M., Kurths, J., & Kliegl, R. (1997). Tempo-induced transitions in polyrhythmic hand movements. Physical Review, 56, 5823–5833.
  • Engle, R. W. (2002). Working memory capacity as executive attention. Current Directions in Psychological Science, 11(1), 19–23. doi:10.1111/1467-8721.00160
  • Engle, R. W., Cantor, J., & Carullo, J. J. (1992). Individual differences in working memory and comprehension: Test of four hypotheses. Journal of Experimental Psychology, 18(5), 972–992.
  • Engle, R. W., Tuholski, S. W., Laughlin, J. E., & Conway, A. (1999). Working memory, short-term memory, and general fluid intelligence: A latent-variable approach. Journal of Experimental Psychology: General, 128(3), 309–331.
  • Eysenck, M. W., & Derakshan, N. (2011). New perspectives in attentional control theory. Personality and Individual Differences, 50(7), 955–960. doi:10.1016/j.paid.2010.08.019
  • Fraisse, P. (1982). Rhythm and tempo. In D. Deutch (Ed.), The psychology of music (pp. 148–190). New York, NY: Academic Press.
  • Friedman, N. P., Miyake, A., Young, S. E., DeFries, J. C., Corley, R. P., & Hewitt, J. K. (2008). Individual differences in executive functions are almost entirely genetic in origin. Journal of Experimental Psychology: General, 137(2), 201–225. doi:10.1037/0096-3445.137.2.201
  • Fry, A. F., & Hale, S. (1996). Processing speed, working memory, and fluid intelligence: Evidence for a developmental cascade. Psychological Science, 7(4), 237–241.
  • Fry, A. F., & Hale, S. (2000). Relationships among processing speed, working memory, and fluid intelligence in children. Biological Psychology, 54, 1–34.
  • Fuchs, L. S., Geary, D. C., Compton, D. L., Fuchs, D., Hamlett, C. L. & Bryant, D. (2010). The contributions of numerosity and domain-general abilities to school readiness. Child Development, 81(5), 1520–1533.
  • Furst, A. J., & Hitch, G. J. (2000). Separate roles for executive and phonological components of working memory in mental arithmetic. Memory and Cognition, 28, 774–782.
  • Geary, D. C. (1993). Mathematics disabilities: Cognitive, neuropsychological, and genetic components. Psychological Bulletin, 114, 345–362.
  • Geary, D. C. (1994). Children’s mathematical development: Research and practical applications. Washington, DC: American Psychological Association.
  • Geary, D. C. (2007). An evolutionary perspective on learning disabilities in mathematics. Developmental Neuropsychology, 32(1), 471–519.
  • Geary, D. C., Bailey, D. H., Littlefield, A., Wood, P., Hoard, M. K., & Nugent, L. (2009). First-grade predictors of mathematical learning disability: A latent class trajectory analysis. Cognitive Development, 24, 411–429.
  • 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.
  • 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.
  • Gersten, R., & Chard, D. (1999). Number sense: Rethinking arithmetic instruction for students with mathematical disabilities. Journal of Special Education, 33, 18–28.
  • Greenspan, S. I. (1992). Infancy and early childhood: The practice of clinical assessment and intervention with emotional and developmental challenges. Madison, CT: International University Press.
  • Hitch, G. J., Towse, J. N., & Hutton, U. (2001). What limits children’s working memory span? Theoretical accounts and applications for scholastic development. Journal of Experimental Psychology General, 130(2), 184–198.
  • Hoard, M. K., Geary, D. C., & Hamson, C. O. (1999). Numerical and arithmetic cognition. Mathematical Cognition, 5, 65–91.
  • Howell, D. C. (2002). Statistical methods for psychology (5th ed.). Pacific Grove, CA: Duxbury.
  • Jensen, A. R. (1998). The g factor. Westport, CT: Praeger.
  • Just, M. A., & Carpenter, P. A. (1992). A capacity theory of comprehension: Individual differences in working memory. Psychological Review, 99(1), 122–149.
  • Kail, R. (1991). Development of processing speed in childhood and adolescence. In H. W. Reese (Ed.), Advances in child development and behavior (Vol. 23, pp. 151–185). San Diego, CA: Academic Press.
  • Kail, R., Hall, L. K., & Caskey, B. J. (1999). Processing speed, exposure to print, and naming speed. Applied Psycholinguistics, 20, 303–314.
  • Krampe, R. T., Engbert, R., & Kliegl, R. (2002). Representational models and nonlinear dynamics: Irreconcilable approaches to human movement timing and coordination or two sides of the same coin? Introduction to the special issue on movement timing and coordination. Brain and Cognition, 48(1), 1–6. doi:10.1006/brcg.2001.1300
  • Kyllonen, P. C. (1996). Is working memory capacity Spearman’s g? In I. Dennis & P. Tapsfield (Eds.), Human abilities: Their nature and measurement (pp. 49–76). Mahwah, NJ: Lawrence Erlbaum.
  • Kyllonen, P. C., & Christal, R. E. (1990). Reasoning ability is (little more than) working-memory capacity?! Intelligence, 14, 389–433.
  • Leather, C. V., & Henry, L. A. (1994). Working memory span and phonological awareness tasks as predictors of early reading ability. Journal of Experimental Child Psychology, 58, 88–111.
  • Libkuman, T. M., & Otani, H. (2002). Training in timing improves accuracy in golf. Journal of General Psychology, 129, 77–96.
  • Lohman, D. F. (1989). Human intelligence: An introduction to advances in theory and research. Review of Educational Research, 59(4), 333–373.
  • Lohman, D. F. (2000). Complex information processing and intelligence. In R. Sternberg (Ed.), Handbook of intelligence (13th ed., pp. 285–340). Cambridge, England: Cambridge University Press.
  • Mauk, M. D., & Buonomano, D. V. (2004). The neural basis of temporal processing. Annual Review of Neuroscience, 27, 307–340.
  • McGee, R. Brodeur, D., & Symons, D. (2004). Time perception: Does it distinguish ADHD and RD children in a clinical sample? Journal of Abnormal Child Psychology, 32, 481–490.
  • McGowan, M. L., Lin, A., Ou-Yang, R., Zei, M., & Grobman, W. (2012). Concentration and the second stage of labor: Outcomes associated with the Interactive Metronome. American Journal of Perinatology, 29, 823–826.
  • McGrew, K. S. (2005). The Cattell-Horn-Carroll theory of cognitive abilities: Past, present and future. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (2nd ed., pp. 136–181). New York, NY: Guilford.
  • McGrew, K. S. (2013). MindHub Pub #2: The science behind Interactive Metronome: An integration of brain clock, temporal processing, brain network and neurocognitive research and theory. St. Joseph, MN: Institute for Applied Psychometrics. Retrieved from www.iapsych.com/articles/mindhub2.pdf
  • McGrew, K. S., & Woodcock, R. W. (2001). Technical manual. Woodcock-Johnson III. Itasca, IL: Riverside Publishing.
  • McLean, J. F., & Hitch, G. J. (1999). Working memory impairments in children with specific arithmetic learning difficulties. Journal of Experimental Child Psychology, 74, 240–260.
  • Mitchell, D. L. (1994, May). The relationship between rhythmic competency and academic performance in first grade children (Unpublished doctoral dissertation), University of Central Florida Department of Exceptional and Physical Education.
  • Mullis, I. V. S., Martin, M. O., Gonzalez, E. J., O’Connor, K. M., Chrostowski, S. J., Gregory, K. D., .. Smith, T. A. (2001). Mathematics benchmarking report: The Third International Math and Science Study – eighth grade. Boston, MA: Boston College International Study Center.
  • National Reading Panel. (2000). Teaching children to read: An evidence-based assessment of the scientific research literature on reading and its implications for reading instruction. Washington, DC: National Institute of Child Health and Human Development.
  • Park, D. C., Smith, A. D., Lautenschlager, G., & Earles, J. L. (1996). Mediators of term memory performance across the life span. Psychology and Aging, 11(4), 621–637.
  • Passolunghi, M. C., Cornoldi, C., & De Liberto, S. (1999). Working memory and intrusions of irrelevant information in a group of specific poor problem solvers. Memory & Cognition, 27(5), 779–790.
  • Passolunghi, M. C., & Pazzaglia, F. (2004). Individual differences in memory updating in relation to arithmetic problem solving. Learning and Individual Differences, 14(4), 219–230.
  • Passolunghi, M. C., & Siegel, L. S. (2004). Working memory and access to numerical information in children with disability in mathematics. Journal of Experimental Child Psychology, 88(4), 348–367.
  • Poeppel, E., Ruhnau, E., Schill, K., & Steinbuechel, N. V. (1990). A hypothesis concerning timing in the brain. In H. Haken & M. Stadler (Eds.), Synergetics of cognition (pp. 144–149). Berlin, Germany: Springer.
  • Posner, M. I., & Rothbart, M. K. (2007). Research on attention networks as a model for the integration of psychological science. Annual Review of Psychology, 58, 1–23.
  • Rakison, D. H., & Yermolayeva, Y. (2011). How to identify a domain-general learning mechanism when you see one. Journal of Cognition and Development, 12(2), 134–153. doi:10.1080/15248372.2010.535228
  • Rammsayer, T. H., & Brandler, S. (2007). Performance on temporal information processing as an index of general intelligence. Intelligence, 35(2), 123–139. doi:10.1016/j.intell.2006.04.007
  • Ritter, M., Colson, K. A., & Park, J. (2013). Reading intervention using Interactive Metronome in children with language and reading impairment: A preliminary investigation. Communications Disorders Quarterly, 43(2), 106–119.
  • Rivera-Batiz, F. L. (1992). Quantitative literacy and the likelihood of employment among young adults in the United States. Journal of Human Resources, 27, 313–328.
  • Rourke, B. P., & Conway, J. A. (1997). Disabilities of arithmetic and mathematical reasoning: Perspectives from neurology and neuropsychology. Journal of Learning Disabilities, 30, 34–46.
  • Shaffer, R. J., Jacokes, L. E., Cassily, J. F., Greenspan, R. F., Tuchman, P. J., & Stemmer, P. J. (2001). Effect of Interactive Metronome rhythmicity training on children with ADHD. American Journal of Occupational Therapy, 55(2), 155–161.
  • Sommer, M., & Rönnqvist, L. (2009). Improved motor-timing of synchronized metronome training on golf shot accuracy. Journal of Sports Science and Medicine, 8, 648–656.
  • Stankov, L. (2000). Structural extensions of a hierarchical view on human cognitive abilities. Learning and Individual Differences, 12(1), 35–51.
  • Stankov, L., Horn, J. L., & Roy, T. (1980). On the relationship between Gf/Gc theory and Jensen’s Level I/Level II theory. Journal of Educational Psychology, 72, 796–809.
  • Süß, H.-M., Oberauer, K., Wittmann, W. W., Wilhelm, O., & Schulze, R. (2002). Working-memory capacity explains reasoning ability—and a little bit more. Intelligence, 30(3), 261–288.
  • Swanson, H. L. (1993). Working memory in learning disability subgroups. Journal of Experimental Child Psychology, 56, 87–114.
  • Taub, G. E., McGrew, K. S., & Keith, T. Z. (2007). Improvements in interval time tracking and effects on reading achievement. Psychology in the Schools, 44, 849–863.
  • Unsworth, N., & Engle, R. W. (2007). The nature of individual differences in working memory capacity: Active maintenance in primary memory and controlled search from secondary memory. Psychological Review, 114(1), 104–132.
  • van Rijn, H., & Taatgen, N. A. (2008). Timing of multiple overlapping intervals: How many clocks do we have? Acta Psychologica, 129(3), 365–375. doi:10.1016/j.actpsy.2008.09.002
  • Vorberg, D., & Fuchs, A. F. (2004, June). Tapping along perturbed metronomes: Automatic phase responses to complex perturbation patterns but no long-term effects. Paper presented at the 9th Rhythm Perception and Production Workshop. Retrieved from www.rppw.org/2004
  • Weikart, P. S., Schweinhart, L. J., & Larner, M. (1987, Winter). Movement curriculum improves children’s rhythmic competence. High/Scope Resources, 6, 8–10.
  • Wing, A. M., & Kristofferson, A. B. (1973). The timing of interresponse intervals. Perception & Psychophysics, 13(3), 455–460. doi:10.3758/BF03205802
  • Wolff, P. H. (2002). Timing precision and rhythm in developmental dyslexia. Reading and Writing: An Interdisciplinary Journal, 15, 179–206.
  • Wolff, P. H., Michel, G. F., Orvut, M., & Drake, C. (1990). Rate and timing of motor coordination in developmental dyslexia. Developmental Psychology, 26, 349–359.
  • Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock Johnson Psychoeducational Battery-Third Edition. Chicago, IL: Riverside.

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