Rapid automatized naming (RAN): effects of aging on a predictor of reading skill

References

• Brink, T. L., Yesavage, J. A., Lum, O., Heersema, P. H., Adey, M., & Rose, T. L. (1982). Screening tests for geriatric depression. Clinical Gerontolologist, 1, 37–43. https://doi.org/10.1300/J018v01n01_06
   Google Scholar
• Caplan, D. D., Michaud, G., Michaud, G., Tripodis, J., & Tripodis, Y. (2011). Effects of age, speed of processing, and working memory on comprehension of sentences with relative clauses. Psychology and Aging, 26(2), 439–450. https://doi.org/10.1037/a0021837
   PubMed Web of Science ®Google Scholar
• Cooper, P.V. (1990). Discourse Production and Normal Aging: Performance on oral picture description tasks. Journal of Gerontology: Psychological Sciences, 45(5), 210-214. https://doi-org.libproxy.lib.unc.edu/10.1093/geronj/45.5.P210
   PubMedGoogle Scholar
• Craik, F. I. M., & Salthouse, T. A. (2008). The handbook of aging and cognition (3rd ed. Psychology Press.
   Google Scholar
• Denckla, M. B., & Rudel, R. (1974). Rapid” automatized” naming of pictured objects, colors, letters and numbers by normal children. Cortex: A Journal Devoted to the Study of the Nervous System and Behavior, 10(2), 186–202. https://doi.org/10.1016/S0010-9452(74)80009-2
   PubMedGoogle Scholar
• Ekstrom, R. B., French, J. W., Harman, H. H., & Dermen, D. (1976). Manual for kit of factor-referenced cognitive tests. Educational Testing Service.
   Google Scholar
• Folstein, M. F., Folstein, S. E., McHugh, P. R., & Fanjiang, G. (2001). Mini-mental state examination: User’s guide. Psychological Assessment Resources.
   Google Scholar
• Glaser, W. R., & Düngelhoff, F. (1984). The time course of picture-word interference. Journal of Experimental Psychology. Human Perception and Performance, 10(5), 640-654. https://doi.org/10.1037/0096-1523.10.5.640
   Web of Science ®Google Scholar
• Gordon, P. C., Lowder, M. W., & Hoedemaker, R. S. (2016). Reading in normally aging adults. In H. H. Wright (Ed.), Cognitive-linguistic processes and aging (pp. 165–191). John Benjamins Publishing.
   Google Scholar
• Gordon, P. C., & Hoedemaker, R. S. (2016). Effective scheduling of looking and talking during rapid automatized naming. Journal of Experimental Psychology. Human Perception and Performance, 42(5), 742–760. https://doi.org/10.1037/xhp0000171
   PubMed Web of Science ®Google Scholar
• Gordon, P. C., Moore, M., Choi, W., Hoedemaker, R. S., & Lowder, M. (2020). Individual differences in reading: Separable effects of knowledge and processing skill. Memory & Cognition, 48(4), 553–565. https://doi.org/10.3758/s13421-019-00989-3
   PubMed Web of Science ®Google Scholar
• Gordon, P. C., & Wright, H. H. (in prep). Performance in the author recognition test by older and younger adults: Effects of time period of author prominence.
   Google Scholar
• Grant, J. D., & Dagenbach, D. (2000). Further considerations regarding inhibitory processes, working memory, and cognitive aging. The American Journal of Psychology, 113(1), 69–94. https://doi.org/doi:10.2307/1423461
   PubMed Web of Science ®Google Scholar
• Hasher, L., & Zacks, R. T. (1988). Working memory, comprehension, and aging: A review and a new view. In G. G. Bower (Ed.), The psychology of learning and motivation (Vol. 22, pp. pp. 193–225). Academic Press.
   Google Scholar
• Howard, D., Nickels, L., Coltheart, M., & Cole-Virtue, J. (2006). Cumulative semantic inhibition in picture naming: Experimental and computational studies. Cognition, 100(3), 464–482. https://doi.org/10.1016/j.cognition.2005.02.006
   PubMed Web of Science ®Google Scholar
• Kemper, S., & McDowd, J. M. (2008). Dimensions of cognitive aging: Executive function and verbal fluency. In S. M. Hofer & D. F. Alwin (Eds.), Handbook of cognitive aging: Interdisciplinary perspectives (pp. 181–192). Sage Publications, Inc.
   Google Scholar
• Kirby, J. R., Georgiou, G. K., Martinussen, R., Parrila, R., Bowers, P., & Landerl, K. (2010). Naming speed and reading: From prediction to instruction. Reading Research Quarterly, 45(3), 341–362. https://doi.org/10.1598/RRQ.45.3.4
   Web of Science ®Google Scholar
• Kuperman, V., & Van Dyke, J. A. (2011). Effects of individual differences in verbal skills on eye-movement patterns during sentence reading. Journal of Memory and Language, 65(1), 42–73. https://doi.org/10.1016/j.jml.2011.03.002
   PubMed Web of Science ®Google Scholar
• Kvitting, A. S., Wimo, A., Johansson, M. M., & Marcusson, J. (2013). A quick test of cognitive speed (AQT): Usefulness in dementia evaluations in primary care. Scandinavian Journal of Primary Health Care, 31, 13–19. https://doi.org/10.3109/02813432.2012.751699.
   PubMed Web of Science ®Google Scholar
• Laubrock, J., Kliegl, R., & Engbert, R. (2006). SWIFT explorations of age differences in eye movements during reading. Neuroscience and Biobehavioral Reviews, 30(6), 872–884. https://doi.org/10.1016/j.neubiorev.2006.06.013
   PubMed Web of Science ®Google Scholar
• Lonigan, C., Schatschneider, C., & Westberg, L.
   Google Scholar
• Marini, A., Carlomagno, S., Caltagirone, C., & Nocentini, U. (2005). The role played by the right hemisphere in the organization of complex textual structures. Brain and Language, 93(1),46–54. doi:10.1016/j.bandl.2004.08.002
   PubMed Web of Science ®Google Scholar
• Mol, S.E. & Bus, A.G. (2011). To read or not to read: A meta-analysis of print exposure from infancy to early adulthood. Psychological Bulletin, 137, 267-296. DOI: 10.1037/a0021890 2
   PubMed Web of Science ®Google Scholar
• Montgomery, J. W., & Windsor, J. (2007). Examining the language performances of children with and without specific language impairment: Contributions of phonological short-term memory and speed of processing. Journal of Speech, Language, and Hearing Research, 50(3), 778–796. https://doi.org/10.1044/1092-4388(2007/054)
   PubMed Web of Science ®Google Scholar
• Moore, M., & Gordon, P. C. (2015). Reading ability and print exposure: Item response theory analysis of the author recognition test. Behavior Research Methods, 47(4), 1095–1109. https://doi.org/10.3758/s13428-014-0534-3
   PubMed Web of Science ®Google Scholar
• Norton, E. S., & Wolf, M. (2012). Rapid automatized naming (RAN) and reading fluency: Implications for understanding and treatment of reading disabilities. Annual Review of Psychology, 63(1), 427–452. https://doi.org/10.1146/annurev-psych-120710-100431
   PubMedGoogle Scholar
• Oppenheim, G. M., Dell, G. S., & Schwartz, M. F. (2010). The dark side of incremental learning: A model of cumulative semantic interference during lexical access in speech production. Cognition, 114(2), 227–252. https://doi.org/10.1016/j.cognition.2009.09.007
   PubMed Web of Science ®Google Scholar
• Perfetti, C. A., Finger, E., & Hogaboam, T. W. (1978). Sources of vocalization latency differences between skilled and less skilled young readers. Journal of Educational Psychology, 70(5), 730–739. https://doi.org/10.1037/0022-0663.70.5.730
   Web of Science ®Google Scholar
• Ratcliff, R., Thapar, A., & McKoon, G. (2001). The effects of aging on reaction time in a signal detection task. Psychology and Aging, 16(2), 323. https://doi.org/10.1037/0882-7974.16.2.323
   PubMed Web of Science ®Google Scholar
• Rayner, K., Reichle, E. D., Stroud, M. J., Williams, C. C., & Pollatsek, A. (2006). The effect of word frequency, word predictability, and font difficulty on the eye movements of young and older readers. Psychology and Aging, 21(3), 448–465. https://doi.org/10.1037/0882-7974.21.3.448
   PubMed Web of Science ®Google Scholar
• Schaie, K. W., & Willis, S. L. (2011). Handbook of the psychology of aging (7th ed. Elsevier Academic Press.
   Google Scholar
• Stanovich, K. E. (1981). Relationships between word decoding speed, general name-retrieval ability, and reading progress in first-grade children. Journal of Educational Psychology, 73(6), 809–815. https://doi.org/10.1037/0022-0663.73.6.809
   Web of Science ®Google Scholar
• Stanovich, K. E., & West, R. F. (1989). Exposure to print and orthographic processing. Reading Research Quarterly, 24, 402–433. https://doi.org/10.2307/747605
   Web of Science ®Google Scholar
• van den Bos, K. P., Zijlstra, B. J. H., & Spelberg, H. C. (2002). Life-span data on continuous-naming speeds of numbers, letters, colors, and pictured objects, and word-reading speed. Scientific Studies of Reading, 6(1), 25–49. https://doi.org/10.1207/S1532799XSSR0601_02
   Google Scholar
• Van Maanen, L., Van Rijn, H., & Borst, J. P. (2009). Stroop and picture—word interference are two sides of the same coin. Psychonomic Bulletin & Review, 16(6), 987–999. https://doi.org/10.3758/PBR.16.6.987
   PubMed Web of Science ®Google Scholar
• Verhaeghen, P., & Cerella, J. (2002). Aging, executive control, and attention: A review of meta-analyses. Neuroscience and Biobehavioral Reviews, 26(7), 849–857. https://doi.org/10.1016/S0149-7634(02)00071-4
   PubMed Web of Science ®Google Scholar
• Wagner, R. K., Torgesen, J. K., & Rashotte, C. A. (1999). Comprehensive test of phonological processing: CTOPP. ASHA.
   Google Scholar
• Wechsler, D. (1997). Wechsler memory scale - 3rd edition. Psychological Corporation.
   Google Scholar
• Wechsler, D. (2008). Wechsler adult intelligence scale - 4th edition. Psychological Corporation.
   Google Scholar
• Wiig, E. H., Nielsen, N. P., & Jacobson, J. M. (2007). A quick test of cognitive speed: Patterns of age groups 15 to 95 years. Perceptual and Motor Skills, 104(3), 1067–1075. https://doi.org/10.2466/PMS.104.3.1067-1075
   PubMed Web of Science ®Google Scholar
• Wolf, M. (1991). Naming speed and reading: The contribution of the cognitive neurosciences. Reading Research Quarterly, 26(2), 123–141. https://doi.org/10.2307/747978
   Web of Science ®Google Scholar
• Wright, H. H., Capilouto, G. J., Srinivasan, C., & Fergadiotis, G. (2011). Story processing ability in cognitively healthy younger and older adults. Journal of Speech, Language, Hearing Research, 54(3), 900–917. https://doi.org/10.1044/1092-4388(2010/09-0253)
   PubMed Web of Science ®Google Scholar