This study examined associations between broad cognitive abilities (Fluid Reasoning [Gf], Short-Term Working Memory [Gwm], Long-Term Storage and Retrieval [Glr], Processing Speed [Gs], Comprehension-Knowledge [Gc], Visual Processing [Gv], and Auditory Processing [Ga]) and reading achievement (Basic Reading Skills, Reading Rate, Reading Fluency, and Reading Comprehension) in a nationally representative school-age sample. Findings indicate that some cognitive abilities were stronger predictors of reading achievement than previously found (e.g., Gf, Ga, and Gs). Most notably, the Woodcock-Johnson–IV Gf cluster was found to be the strongest and most consistent predictor of reading achievement. A secondary analysis suggests that this effect was likely due to the new Number Series test. The results of the study suggest revisions to previous conceptualizations of the associations between the broad Cattell-Horn-Carroll abilities and areas of reading achievement.

Ackerman, P. L., Lohman, D. F. (2006). Individual differences in cognitive functions. In Alexander, P. A., Winne, P. (Eds.), Handbook of educational psychology (2nd ed., pp. 139-161). Mahwah, NJ: Lawrence Erlbaum.
Google Scholar
American Educational Research Association, American Psychological Association, & National Council on Measurement in Education . (2015). Standards for educational and psychological testing (2nd ed.). Washington, DC: American Psychological Association.
Google Scholar
Benson, N. (2008). Cattell–Horn–Carroll cognitive abilities and reading achievement. Journal of Psychoeducational Assessment, 26, 27-41. doi:10.1177/0734282907301424
Google Scholar | SAGE Journals | ISI
Bertling, J. P. (2012). Measuring reasoning ability: Applications of rule-based item generation (Unpublished doctoral dissertation). Münster, Germany: University of Münster.
Google Scholar
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York, NY: Cambridge University Press.
Google Scholar | Crossref
Evans, J. J., Floyd, R. G., McGrew, K. S., Leforgee, M. H. (2002). The relations between measures of Cattell–Horn–Carroll (CHC) cognitive abilities and reading achievement during childhood and adolescence. School Psychology Review, 31, 246-262.
Google Scholar | ISI
Fiorello, C. A., Primerano, D. P. (2005). Research into practice: Cattell–Horn–Carroll cognitive assessment in practice: Eligibility and program development issues. Psychology in the Schools, 42, 525-536.
Google Scholar | Crossref | ISI
Flanagan, D. P., Ortiz, S. O., Alfonso, V. C (2013). Essentials of cross-battery assessment (3rd ed.). Hoboken, NJ: Wiley.
Google Scholar
Floyd, R. G., Clark, M. H., Shadish, W. R. (2008). The exchangeability of IQs: Implications for professional psychology. Professional Psychology: Research and Practice, 39, 414-423.
Google Scholar | Crossref | ISI
Floyd, R. G., Evans, J. J., McGrew, K. S. (2003). Relations between measures of Cattell–Horn–Carroll (CHC) cognitive abilities and mathematics achievement across the school-age years. Psychology in the Schools, 40, 155-171.
Google Scholar | Crossref | ISI
Floyd, R. G., McGrew, K. S., Evans, J. J. (2008). The relative contributions of the Cattell-Horn-Carroll cognitive abilities in explaining writing achievement during childhood and adolescence. Psychology in the Schools, 45, 132-144. doi: 10.1002/pits.20284
Google Scholar | Crossref | ISI
Floyd, R. G., Keith, T. Z., Taub, G. E., McGrew, K. S. (2007). Cattell–Horn–Carroll cognitive abilities and their effects on reading decoding skills: G has indirect effects, more specific abilities have direct effects. School Psychology Quarterly, 22, 200-233. doi:10.1037/1045-3830.22.2.200
Google Scholar | Crossref | ISI
Hambrick, D. Z., Altmann, E. M. (2015). The role of placekeeping ability in fluid intelligence. Psychonomic bulletin & review, 22, 1104-1110.
Google Scholar | Crossref | Medline | ISI
Hollingworth, L. S., Cobb, M. V. (1928). Children clustering at 165 IQ and children clustering at 146 compared for three years in academic achievement. In Whipple, G. M. (Ed.), The twenty-seventh yearbook of the National Society for the Study of Education: Nature and Nurture, Part II—Their influence upon achievement (pp. 3-33). Bloomington, IL: Public School Publishing Company.
Google Scholar
Holzman, T. G., Pellegrino, J. W., Glaser, R. (1983). Cognitive variables in series completion. Journal of Educational Psychology, 75, 603-618.
Google Scholar | Crossref | ISI
Jensen, A. (1969). How much can we boost IQ and scholastic achievement. Harvard Educational Review, 39, 1-123.
Google Scholar | Crossref | ISI
Kamphaus, R. W., Winsor, A. P., Rowe, E. W., Kim, S. (2012). A history of intelligence test interpretation. In Flanagan, D. P., Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 99-144). New York, NY: Guilford Press.
Google Scholar
Kaufman, A. S., Kaufman, N. L. (2004). Kaufman assessment battery for children (2nd ed.). Circle Pines, MN: American Guidance Service.
Google Scholar
Keith, T. Z., Reynolds, M. R. (2010). CHC theory and cognitive abilities: What we’ve learned from 20 years of research. Psychology in the Schools, 47, 635-650.
Google Scholar | ISI
Kranzler, J. H., Benson, N., Floyd, R. G. (2016). Intellectual assessment of children and youth in the United States of America: Past, present, and future. International Journal of School & Educational Psychology. Advance online publication. doi:10.1080/21683603.2016.1166759
Google Scholar | Crossref
LeFevre, J.-A., Bisanz, J. (1986). A cognitive analysis of number-series problems: Sources of individual differences in performance. Memory & Cognition, 14, 287-298.
Google Scholar | Crossref | Medline | ISI
Letteri, C. A. (1980). Cognitive profile: Basic determinant of academic achievement. The Journal of Educational Research, 73, 195-199.
Google Scholar | Crossref | ISI
McGrew, K. S. (1993). The relationship between the Woodcock-Johnson Psychoeducational Battery-Revised Gf-Gc cognitive clusters and reading achievement across the life-span. Journal of Psychoeducational Assessment Monograph Series: Woodcock-Johnson Psycho-Educational Assessment Battery—Revised, 39-53.
Google Scholar
McGrew, K. S. (2009). CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research. Intelligence, 37, 1-10.
Google Scholar | Crossref | ISI
McGrew, K. S., Hessler, G. (1995). The relationship between the WJ-R Gf-Gc cognitive clusters and mathematics achievement across the life-span. Journal of Psychoeducational Assessment, 13, 21-38.
Google Scholar | SAGE Journals | ISI
McGrew, K. S., Knopik, S. (1993). The relationship between the WJ-R Gf-Gc cognitive clusters and writing achievement across the life-span. School Psychology Review, 22, 687-695.
Google Scholar | ISI
McGrew, K. S., LaForte, E. M., Schrank, F. A. (2014). Technical manual: Woodcock-Johnson IV. Rolling Meadows, IL: Riverside Publishing.
Google Scholar
McGrew, K. S., Schrank, F. A., Woodcock, R. W. (2007). Technical manual: Woodcock-Johnson III Normative Update. Rolling Meadows, IL: Riverside.
Google Scholar
McGrew, K. S., Wendling, B. J. (2010). Cattell–Horn–Carroll cognitive-achievement relations: What we have learned from the past 20 years of research. Psychology in the Schools, 47, 651-675. doi:10.1002/pits.20497
Google Scholar | Crossref | ISI
McGrew, K. S., Wrightson, W. (1997). The calculation of new and improved WISC-III subtest reliability, uniqueness, and general factor characteristic information through the use of data smoothing procedures. Psychology in the Schools, 34, 181-195.
Google Scholar | Crossref | ISI
Mosier, C. I. (1943). On the reliability of a weighted composite. Psychometrika, 8, 161-168.
Google Scholar | Crossref
National Council of Teachers of Mathematics . (2010). Preface. In Reys, B. J., Reys, R. E., Rubenstein, R. (Eds.), Mathematics curriculum: Issues, trends, and future directions (Vol. 72, pp. ix-xiv). Reston, VA: Author.
Google Scholar
Newton, J. H., McGrew, K. S. (2010). Introduction to the special issue: Current research in Cattell–Horn–Carroll–based assessment. Psychology in the Schools, 47, 621-634.
Google Scholar | ISI
Niilekesia, C. R., Reynolds, M. R., Keith, T. Z., McGrew, K. S. (2016). A special validity study of the Woodcock-Johnson IV: Acting on evidence for specific abilities. In Flanagan, D. P., Alfonso, V. C. (Eds.), WJ IV clinical use and interpretation: Scientist-practitioner perspectives (pp. 65-106). Boston, MA: Elsevier.
Google Scholar | Crossref
Quereshi, M. Y., Smith, H. (1998). Reasoning ability in older adults measured through letter and number series. Current Psychology, 17, 20-27.
Google Scholar | Crossref | ISI
Reynolds, M. R., Niileksela, C. R. (2015). Test review: Woodcock-Johnson IV Tests of Cognitive Abilities. Journal of Psychoeducational Assessment, 33, 381-390.
Google Scholar | SAGE Journals | ISI
Schneider, W. J., McGrew, K. S. (2012). The Cattell–Horn–Carroll model of intelligence. In Flanagan, D. P., Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 99-144). New York, NY: Guilford Press.
Google Scholar
Schrank, F. A., McGrew, K. S., Mather, N. (2014a). Woodcock-Johnson IV. Rolling Meadows, IL: Riverside Publishing.
Google Scholar
Schrank, F. A., McGrew, K. S., Mather, N. (2014b). Woodcock-Johnson IV Tests of Cognitive Abilities. Rolling Meadows, IL: Riverside Publishing.
Google Scholar
Schrank, F. A., McGrew, K. S., Mather, N. (2014c). Woodcock-Johnson IV Tests of Achievement. Rolling Meadows, IL: Riverside Publishing.
Google Scholar
Swanson, H. L. (1994). Short-term memory and working memory do both contribute to our understanding of academic achievement in children and adults with learning disabilities? Journal of Learning Disabilities, 27, 34-50.
Google Scholar | SAGE Journals | ISI
Villarreal, V. (2015). Test Review: Woodcock-Johnson IV Tests of Achievement. Journal of Psychoeducational Assessment, 33, 391-398.
Google Scholar | SAGE Journals | ISI
Woodcock, R. R., McGrew, K. S., Schrank, F. A. (2001). Woodcock-Johnson III Technical Manual. Itasca, IL: Riverside Publishing.
Google Scholar
Woodcock, R. W., Johnson, M. B. (1989). Woodcock–Johnson Psycho–Educational Battery–Revised. Chicago, IL: Riverside Publishing.
Google Scholar
Woodcock, R. W., McGrew, K. S., Mather, N. (2001). Woodcock–Johnson III. Itasca, IL: Riverside Publishing.
Google Scholar
Ysseldyke, J., Burns, M., Dawson, P., Kelley, B., Morrison, D., Ortiz, S., … Telzrow, C. (2006). School psychology: A blueprint for training and practice III. Bethesda, MD: National Association of School Psychologists.
Google Scholar
View access options

My Account

Welcome
You do not have access to this content.



Chinese Institutions / 中国用户

Click the button below for the full-text content

请点击以下获取该全文

Institutional Access

does not have access to this content.

Purchase Content

24 hours online access to download content

Your Access Options


Purchase

JPA-article-ppv for $36.00