The Relationship of Cognitive Processes With Reading and Mathematics Achievement in Intellectually Gifted Children

References

• Arffa, S. (2007). The relationship of intelligence to executive function and non-executive function measures in a sample of average, above average and gifted youth. Archives of Clinical Neuropsychology, 22, 969–978. doi:10.1016/j.acn.2007.08.001
   PubMed Web of Science ®Google Scholar
• Barbe, W. B. (1958). Measuring reading comprehension. The Clearing House, 32, 343–345. doi:10.1080/00098655.1958.11476143
   Google Scholar
• Buzinkai, D. (2013). Cognitive and academic profiles of gifted and talented students (Doctoral dissertation). Retrieved from https://digitalcommons.pcom.edu/psychology_dissertations/261/
   Google Scholar
• Cai, D., Li, Q., & Deng, C. (2013). Cognitive processing characteristics of 6th to 8th grade Chinese students with mathematics learning disability: Relationships among working memory, PASS processes, and processing speed. Learning and Individual Differences, 27, 120–127. doi:10.1016/j.lindif.2013.07.008
   Web of Science ®Google Scholar
• Cain, K., & Oakhill, J. (2006). Assessment matters: Issues in the measurement of reading comprehension. British Journal of Educational Psychology, 76, 697–708. doi:10.1348/000709905X69807
   PubMed Web of Science ®Google Scholar
• Cartright, K. B. (2015). Executive skills and reading comprehension. New York, NY: Guilford Press.
   Google Scholar
• Cirino, P. T., Child, A. E., & Macdonald, K. T. (2018). Longitudinal predictors of the overlap between reading and math skills. Contemporary Educational Psychology, 54, 99–111. doi:10.1016/j.cedpsych.2018.06.002
   PubMed Web of Science ®Google Scholar
• Das, J. P. (2015). Three faces of cognitive processes: Theory, assessment and intervention. In T. C. Papadopoulos, R. Parrila, & J. R. Kirby (Eds.), Achievement, cognition, and intelligence (pp. 19–50). New York, NY: Elsevier.
   Google Scholar
• Das, J. P., Bisanz, G. L., & Mancini, G. (1984). Performance of good and poor readers on cognitive tasks: Changes with development and reading competence. Journal of Learning Disabilities, 17, 549–555. doi:10.1177/002221948401700909
   PubMed Web of Science ®Google Scholar
• Das, J. P., & Janzen, T. (2004). Learning math: Basic concepts, math difficulties, and suggestions for intervention. Developmental Disabilities Bulletin, 32, 191–205.
   Google Scholar
• Das, J. P., Janzen, T., & Georgiou, G. K. (2007). Correlates of Canadian native children’s reading performance: From cognitive styles to cognitive processes. Journal of School Psychology, 45, 589–602. doi:10.1016/j.jsp.2007.06.004
   Web of Science ®Google Scholar
• Das, J. P., & Misra, S. B. (2015). Cognitive planning and executive functions. Delhi, India: SAGE.
   Google Scholar
• Das, J. P., Naglieri, J. A., & Kirby, J. R. (1994). The PASS theory of intelligence. Boston, MA: Allyn & Bacon.
   Google Scholar
• Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35, 13–21. doi:10.1016/j.intell.2006.02.001
   Web of Science ®Google Scholar
• Deng, C., Liu, M., Wei, W., Chan, R. C. K., & Das, J. P. (2011). Latent factor structure of the Das-Naglieri Cognitive Assessment System: A confirmatory factor analysis in a Chinese setting. Research in Developmental Disabilities, 32, 1988–1997. doi:10.1016/j.ridd.2011.04.005
   PubMed Web of Science ®Google Scholar
• Dunn, K., Georgiou, G., & Das, J. P. (2018). The PASS to superior reading. High Ability Studies, 29, 135–148. doi:10.1080/13598139.2018.1507900
   Web of Science ®Google Scholar
• Francis, D. J., Snow, C. E., August, D., Carlson, C., Miller, J., & Iglesias, A. (2006). Measures of reading comprehension: A latent variable analysis of the diagnostic assessment of reading comprehension. Scientific Studies of Reading, 10, 301–322. doi:10.1207/s1532799xssr1003_6
   Web of Science ®Google Scholar
• Georgiou, G., Manolitsis, G., & Tziraki, N. (2015). Is intelligence relevant in reading “μάνα” and in calculating “3 + 5”? In T. C. Papadopoulos, R. Parrila, & J. R. Kirby (Eds.), Cognition, intelligence, and achievement (pp. 225–243). New York, NY: Elsevier.
   Google Scholar
• Hayward, D., Das, J. P., & Janzen, T. (2007). Innovative programs for improvement in reading through cognitive enhancement: A remediation study of Canadian First Nations children. Journal of Learning Disabilities, 40, 443–457. doi:10.1177/00222194070400050801
   PubMed Web of Science ®Google Scholar
• Hecht, S. A., Torgesen, J. K., Wagner, R. K., & Rashotte, C. A. (2001). The relations between phonological abilities and emerging individual differences in mathematical computation skills: A longitudinal study from second to fifth grades. Journal of Experimental Child Psychology, 79, 192–227. doi:10.1006/jecp.2000.2586
   PubMed Web of Science ®Google Scholar
• Iglesias-Sarmiento, V., & Deaño, M. (2011). Cognitive processing and mathematical achievement: A study with schoolchildren between fourth and sixth grade of primary education. Journal of Learning Disabilities, 44, 570–583. doi:10.1177/0022219411400749
   PubMed Web of Science ®Google Scholar
• Iseman, J. S., & Naglieri, J. A. (2011). A cognitive strategy instruction to improve math calculation for children with ADHD and LD: A randomized controlled study. Journal of Learning Disabilities, 44, 184–195. doi:10.1177/0022219410391190
   PubMed Web of Science ®Google Scholar
• Joseph, L. M., McCachran, M. E., & Naglieri, J. A. (2003). PASS cognitive processes, phonological processes, and basic reading performance for a sample of referred primary-grade children. Journal of Research in Reading, 26, 304–314. doi:10.1111/1467-9817.00206
   Web of Science ®Google Scholar
• Kalbfleisch, M. L. (2008). Getting to the heart of the brain: Using cognitive neuroscience to explore the nature of human ability and performance. Roeper Review, 30, 162–170. doi:10.1080/02783190802199321
   Google Scholar
• Kalbfleisch, M. L., & Gillmarten, C. (2013). Left brain vs. right brain: Findings on visual spatial capacities and the functional neurology of giftedness. Roeper Review, 35, 265–275. doi:10.1080/02783193.2013.829549
   Google Scholar
• Kaufman, S. B., & Sternberg, R. J. (2008). Conceptions of giftedness. In S. I. Pfeiffer (Ed.), Handbook of giftedness in children: Psychoeducational theory, research, and best practices (pp. 71–92). New York, NY: Springer.
   Google Scholar
• Keenan, J., Betjeman, R., & Olson, R. (2008). Reading comprehension tests vary in the skills they assess: Differential dependence on decoding and oral comprehension. Scientific Studies of Reading, 12, 281–300. doi:10.1080/10888430802132279
   Web of Science ®Google Scholar
• Kendeou, P., Papadopoulos, T. C., & Spanoudis, G. (2015). Reading comprehension and PASS theory. In T. C. Papadopoulos, R. Parrila, & J. R. Kirby (Eds.), Achievement, cognition, and intelligence (pp. 117–136). New York, NY: Elsevier.
   Google Scholar
• Kirby, J. R., & Ashman, A. F. (1984). Planning skills and mathematics achievement: Implications regarding learning disability. Journal of Psychoeducational Assessment, 2, 9–22. doi:10.1177/073428298400200102
   Google Scholar
• Kirby, J. R., & Das, J. P. (1977). Reading achievement, IQ, and simultaneous-successive processing. Journal of Educational Psychology, 69, 564–570. doi:10.1037/0022-0663.69.5.565
   Web of Science ®Google Scholar
• Kirby, J. R., & Robinson, G. L. W. (1987). Simultaneous and successive processing in reading disabled children. Journal of Learning Disabilities, 20, 243–252. doi:10.1177/002221948702000409
   PubMed Web of Science ®Google Scholar
• Kroesbergen, E. H., Van Luit, J. E. H., & Naglieri, J. A. (2003). Mathematical learning differences and PASS cognitive processes. Journal of Learning Disabilities, 36, 574–582. doi:10.1177/00222194030360060801
   PubMed Web of Science ®Google Scholar
• Kroesbergen, E. H., Van Luit, J. E. H., Naglieri, J. A., Taddei, S., & Franchi, E. (2010). PASS processes and early mathematics skills in Dutch and Italian kindergartens. Journal of Psychoeducational Assessment, 28, 585–593. doi:10.1177/0734282909356054
   Web of Science ®Google Scholar
• Kroesbergen, E. H., van Luit, J. E. H., & van Viersen, S. (2015). PASS theory and special education needs: A European perspective. In T. C. Papadopoulos, R. Parrila, & J. R. Kirby (Eds.), Achievement, cognition, and intelligence (pp. 245–266). New York, NY: Elsevier.
   Google Scholar
• Luria, A. R. (1966). Human brain and psychological processes. New York, NY: Harper & Row.
   Google Scholar
• Luria, A. R. (1973). The working brain: An introduction to neuropsychology. New York, NY: Basic Books.
   Google Scholar
• Mahapatra, S., Das, J. P., Stack-Cutler, H., & Parrila, R. (2010). Remediating reading comprehension difficulties: A cognitive processing approach. Reading Psychology, 31, 428–453. doi:10.1080/02702710903054915
   Google Scholar
• McGrew, K., & Woodcock, R. (2001). Technical manual: Woodcock-Johnson III. Rolling Meadows, IL: Riverside.
   Google Scholar
• McGuffog, C., Feiring, C., & Lewis, M. (1987). The diverse profile of the extremely gifted child. Roeper Review, 10, 82–89. doi:10.1080/02783198709553090
   Google Scholar
• Myers, T., Carey, E., & Szücs, D. (2017). Cognitive and neural correlates of mathematical giftedness in adults and children: A review. Frontiers in Psychology, 8. doi:10.3389/fpsyg.2017.01646
   Web of Science ®Google Scholar
• Naglieri, J., & Bornstein, B. (2003). Intelligence and achievement: Just how correlated are they? Journal of Psychoeducational Assessment, 21, 244–260. doi:10.1177/073428290302100302
   Web of Science ®Google Scholar
• Naglieri, J. A., & Das, J. P. (1987). Construct and criterion related validity of planning, simultaneous and successive cognitive processing tasks. Journal of Psychoeducational Assessment, 4, 353–363. doi:10.1177/073428298700500405
   Google Scholar
• Naglieri, J. A., & Das, J. P. (1997). Das-Naglieri Cognitive Assessment System. Itasca, IL: Riverside.
   Google Scholar
• Naglieri, J. A., Das, J. P., & Goldstein, S. (2014). Cognitive Assessment System—Second education (2nd ed.). Austin, TX: Pro-Ed.
   Google Scholar
• Naglieri, J. A., Das, J. P., Stevens, J. J., & Ledbetter, M. F. (1991). Confirmatory factor analysis of planning, attention, simultaneous and successive cognitive processing tasks. Journal of School Psychology, 29, 1–17. doi:10.1016/0022-4405(91)90011-F
   Web of Science ®Google Scholar
• Naglieri, J. A., & Gottling, S. H. (1997). Mathematics instruction and PASS cognitive processes: An intervention study. Journal of Learning Disabilities, 30, 513–520. doi:10.1177/002221949703000507
   PubMed Web of Science ®Google Scholar
• Naglieri, J. A., & Johnson, D. (2000). Effectiveness of a cognitive strategy intervention in improving arithmetic computation based on the PASS theory. Journal of Learning Disabilities, 33, 591–597. doi:10.1177/002221940003300607
   PubMed Web of Science ®Google Scholar
• Naglieri, J. A., & Kaufman, J. C. (2001). Understanding intelligence, giftedness and creativity using the PASS theory. Roeper Review, 23, 151–164. doi:10.1080/02783190109554087
   Google Scholar
• Naglieri, J. A., & Otero, T. M. (2018). Redefining intelligence with the planning, attention, simultaneous and successive theory of neurocognitive processes. In D. P. Flanagan & E. M. McDonough (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (4th ed., pp. 195–218). New York, NY: Guilford Press.
   Google Scholar
• Naglieri, J. A., & Rojahn, J. (2004). Construct validity of the PASS theory and CAS: Correlations with achievement. Journal of Educational Psychology, 96, 174–181. doi:10.1037/0022-0663.96.1.174
   Web of Science ®Google Scholar
• Naglieri, J. A., Taddei, S., & Williams, K. M. (2013). Multigroup confirmatory factor analysis of U.S. and Italian children’s performance on the PASS theory of intelligence as measured by the Cognitive Assessment System. Psychological Assessment, 25, 157–166. doi:10.1037/a0029828
   PubMed Web of Science ®Google Scholar
• Palincsar, A. S., & Brown, A. L. (1984). Reciprocal teaching of comprehension-fostering and comprehension-monitoring activities. Cognition and Instruction, 2, 117–175.
   Google Scholar
• Papadopoulos, T. C. (2001). Phonological and cognitive correlates of word-reading acquisition under two different instructional approaches. European Journal of Psychology of Education, 16, 549–567. doi:10.1007/BF03173197
   Web of Science ®Google Scholar
• Papadopoulos, T. C., Kendeou, P., Ktisti, C., & Fella, A. (2012, July). Precocious readers: A cognitive or a linguistic advantage? Paper presented at the annual meeting of the Society for the Scientific Study of Reading, Montreal, Canada.
   Google Scholar
• Papadopoulos, T. C., Kendeou, P., & Shiakalli, M. (2014). Reading comprehension tests and poor comprehenders: Do different processing demands mean different profiles? Topics in Cognitive Psychology, 114, 725–753.
   Google Scholar
• Paz-Baruch, N., Leikin, M., Aharon-Perez, J., & Leikin, R. (2014). Speed of information processing in generally gifted and excelling-in-mathematics adolescents. High Ability Studies, 25, 143–167. doi:10.1080/13598139.2014.971102
   Web of Science ®Google Scholar
• Rimm, S., Gilman, B., & Silverman, L. (2008). Nontraditional applications of traditional testing. In J. Van Tassel-Baska (Ed.), Alternative assessments with gifted and talented students (pp. 175–202). Waco, TX: Prufrock Press.
   Google Scholar
• Roth, B., Becker, N., Romeyke, S., Schäfer, S., Domnick, F., & Spinath, F. M. (2015). Intelligence and school grades: A meta-analysis. Intelligence, 53, 118–137. doi:10.1016/j.intell.2015.09.002
   Web of Science ®Google Scholar
• Rowe, E. W., Kingsley, J. M., & Thompson, D. F. (2010). Predictive ability of the General Ability Index (GAI) versus the Full Scale IQ among gifted referrals. School Psychology Quarterly, 25, 119–128. doi:10.1037/a0020148
   Web of Science ®Google Scholar
• Rowe, E. W., Miller, C., Ebenstein, L. A., & Thompson, D. F. (2012). Cognitive predictors of reading and math achievement among gifted referrals. School Psychology Quarterly, 27, 144–153. doi:10.1037/a0029941
   PubMed Web of Science ®Google Scholar
• Sesma, H. W., Mahone, E. M., Levine, T., Eason, S. H., & Cutting, L. E. (2009). The contribution of executive skills to reading comprehension. Child Neuropsychology, 15, 232–246. doi:10.1080/09297040802220029
   PubMed Web of Science ®Google Scholar
• Soares, D. L., Lemos, G. C., Primi, R., & Almeida, L. S. (2015). The relationship between intelligence and academic achievement throughout middle school: The role of students’ prior academic performance. Learning and Individual Differences, 41, 73–78. doi:10.1016/j.kindif.2015.02.00
   Web of Science ®Google Scholar
• Sternberg, R. J. (2000). Identifying and developing creative giftedness. Roeper Review, 23, 60–64. doi:10.1080/02783190009554067
   Google Scholar
• Sternberg, R. J. (2017). ACCEL: A new model for identifying the gifted. Roeper Review, 39, 152–169. doi:10.1080/02783193.2017.1318658
   Web of Science ®Google Scholar
• Swanson, H. L. (1992). The relationship between metacognition and problem solving in gifted children. Roeper Review, 15, 43–47. doi:10.1080/02783199209553457
   Google Scholar
• Swanson, L. (2006). Cognitive processes that underlie mathematical precociousness in young children. Journal of Experimental Psychology, 93, 239–264.
   Google Scholar
• Van Garderen, D. (2016). Spatial visualization, visual imagery, and mathematical problem solving of students with varying abilities. Journal of Learning Disabilities, 39, 496–506. doi:10.1177/00222194060390060201
   Web of Science ®Google Scholar
• Volker, M. A., & Smerbeck, A. M. (2009). Identification of gifted students with the WISC–IV. In D. P. Flanagan & A. S. Kaufman (Eds.), Essentials of WISC–IV assessment (2nd ed., pp. 262–276). Hoboken, NJ: Wiley.
   Google Scholar
• Wang, X., Georgiou, G. K., & Das, J. P. (2012). Examining the effects of cognitive processes on Chinese reading accuracy and fluency. Learning and Individual Differences, 22, 139–143. doi:10.1016/j.lindif.2011.11.006
   Web of Science ®Google Scholar
• Wang, X., Georgiou, G. K., Das, J. P., & Li, Q. (2012). Cognitive processing skills and developmental dyslexia in Chinese. Journal of Learning Disabilities, 45, 526–537. doi:10.1177/0022219411402693
   PubMed Web of Science ®Google Scholar
• Watkins, M. W., Greenawalt, C. G., & Marcell, C. M. (2002). Factor structure for the Wechsler intelligence scale for children: Third edition among gifted students. Educational and Psychological Measurement, 62, 164–172. doi:10.1177/0013164402062001011
   Web of Science ®Google Scholar
• Wechsler, D. (2001). Wechsler individual achievement test (2nd ed.). San Antonio, TX: Psychological Corporation.
   Google Scholar
• Wechsler, D. (2003). Wechsler intelligence scale for children: Fourth edition (WISC–IV) administration and scoring manual. San Antonio, TX: Psychological Corporation.
   Google Scholar
• Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson III tests of achievement. Rolling Meadows, IL: Riverside.
   Google Scholar
• Zaboski, B. A., Kranzler, J. H., & Gage, N. A. (2018). Meta-analysis of the relationship between academic achievement and broad abilities of the Cattell-Horn-Carroll theory. Journal of School Psychology, 71, 42–56. doi:10.1016/j.jsp.2018.10.001
   PubMed Web of Science ®Google Scholar