Handbook of Executive Functioning pp 379-409 | Cite as
Cross-Battery Approach to the Assessment of Executive Functions
Abstract
Increasing attention has been paid to the role of executive functions in school learning and achievement in recent years (e.g., Dawson, 2012; Maricle & Avirett, 2012; McCloskey, 2012; Meltzer, 2007, 2012; Miller, 2007, 2013). For example, within the emerging subdiscipline of school neuropsychology, attempts have been made to integrate psychometric and neuropsychological theories in an effort to better understand brain–behavior relationships (e.g., Flanagan, Alfonso, Ortiz, & Dynda, 2010; Miller, 2007). In addition, some intelligence test developers offer a cognitive processing model as a basis for interpreting test performance and provide clinical clusters, such as “executive processes,” “cognitive fluency,” and “broad attention” as part of their battery (e.g., WJ III NU; Woodcock, McGrew, & Mather, 2001, 2007). Other test authors developed tests that more directly purport to measure executive functions, including planning and attention. For example, the Kaufman Assessment Battery for Children, second edition (KABC-II; Kaufman & Kaufman, 2004), although based on the Cattell–Horn–Carroll (CHC) theory of the structure of cognitive abilities, maintains its roots in the Lurian model of cognitive processing and measures “Fluid Reasoning (Gf)/Planning,” for example. Likewise, the Cognitive Assessment System (CAS; Das & Naglieri, 1997) is based on a Lurian cognitive processing theory of intelligence and measures planning, attention, and simultaneous and successive processes, of which the former two are often conceived of as executive functions (Maricle & Avirett, 2012; Naglieri, 2012).
Keywords
Executive Function Work Memory Capacity Concept Formation Neuropsychological Batterie Cognitive BatterieReferences
- Alfonso, V. C., Flanagan, D. P., & Radwan, S. (2005). The impact of the Cattell-Horn theory on test development and interpretation of cognitive and academic abilities. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (2nd ed., pp. 185–202). New York: Guildford Press.Google Scholar
- Baron, I. (2004). Neuropsychological evaluation of the child. New York, NY US: Oxford University Press.Google Scholar
- Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge, UK: Cambridge University Press.Google Scholar
- Carroll, J. B. (1997). The three-stratum theory of cognitive abilities. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 122–130). New York: Guilford Press.Google Scholar
- Carroll, J. B. (1998). Foreword. In K. S. McGrew & D. P. Flanagan (Eds.), The intelligence test desk reference: Gf-Gc cross-battery assessment (pp. xi–xii). Boston: Allyn & Bacon.Google Scholar
- Comrey, A. L. (1988). Factor-analytic methods of scale development in personality and clinical psychology. Journal of Consulting and Clinical Psychology, 56, 754–761.PubMedCrossRefGoogle Scholar
- Das, J. P., & Naglieri, J. A. (1997). Cognitive assessment system. Itasca, IL: Riverside.Google Scholar
- Dawson, P. (2012). Executive functioning in children. In S. Goldstein & J. A. Naglieri (Eds.), Handbook on executive functioning.Google Scholar
- Dean, R. S., & Woodcock, R. W. (2003). Dean–Woodcock neuropsychological battery. Itasca, IL: Riverside Publishing.Google Scholar
- Decker, S. L. (2008). School neuropsychology consultation in neurodevelopmental disorders. Psychology in the Schools, 45, 799–811.CrossRefGoogle Scholar
- Dehn, M. J. (2006). Essentials of processing assessment. New York: Wiley.Google Scholar
- De La Paz, S. (2007). Managing cognitive demands for writing: Comparing the effects of instructional components in strategy instruction. Reading and Writing Quarterly, 23, 249–266.CrossRefGoogle Scholar
- Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis Kaplan executive function system. San Antonio, TX: The Psychological Corporation.Google Scholar
- Elliott, C. D. (2007). Differential ability scales—Second edition. San Antonio, TX: Harcourt Assessment.Google Scholar
- Feifer, S. G., & Della Toffalo, D. A. (2007). Integrating RTI with cognitive neuropsychology: A scientific approach to reading. Middletown, MD: School Neuropsych Press.Google Scholar
- Fiorello, C. A., Hale, J. B., Snyder, L. E., Forrest, E., & Teodori, A. (2008). Validating individual differences through examination of converging psychometric and neuropsychological models of cognitive functioning. In S. K. Thurman & C. A. Fiorello (Eds.), Applied cognitive research in k-3 classrooms (pp. 232–254). New York: Routledge.Google Scholar
- Flanagan, D. P., Alfonso, V. C., & Ortiz, S. O. (2012). The cross-battery assessment approach: An overview, historical perspective, and current directions. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 459–483). New York: Guilford Press.Google Scholar
- Flanagan, D. P., Alfonso, V. C., & Mascolo, J. T. (2013). A CHC-based operational definition of SLD: Integrating multiple data sources and multiple data-gathering methods. In D. P. Flanagan & V. C. Alfonso (Eds.), Essentials of specific learning disability identification (pp. 233–298). Hoboken, NJ: Wiley.Google Scholar
- Flanagan, D. P., Alfonso, V. C., Ortiz, S. O., & Dynda, A. M. (2010). Integrating cognitive assessment in school neuropsychological evaluations. In D. C. Miller (Ed.), Best practices in school neuropsychology: Guidelines for effective practice, assessment, and evidence-based intervention (pp. 101–140). Hoboken, NJ: Wiley.Google Scholar
- Flanagan, D. P., & McGrew, K. S. (1997). A cross-battery approach to assessing and interpreting cognitive abilities: Narrowing the gap between practice and cognitive science. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment Theories, tests, and issues (pp. 314–325). New York: Guilford Press.Google Scholar
- Flanagan, D. P., McGrew, K. S., & Ortiz, S. O. (2000). The Wechsler Intelligence Scales and Gf-Gc theory: A contemporary approach to interpretation. Boston: Allyn & Bacon.Google Scholar
- Flanagan, D. P., & Ortiz, S. O. (2001). Essentials of cross-battery assessment. New York: Wiley.Google Scholar
- Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2007). Essentials of cross-battery assessment (2nd ed.). New York: Wiley.Google Scholar
- Flanagan, D. P., Alfonso, V. C., & Ortiz, S. O. (2012). The cross-battery assessment approach: An overview, historical perspective, and current directions. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 459–483). New York: Guilford Press.Google Scholar
- Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2013). Essentials of cross-battery assessment (3rd ed.). Hoboken, NJ: Wiley.Google Scholar
- Flanagan, D. P., Ortiz, S. O., Alfonso, V. C., & Mascolo, J. T. (2006). Achievement test desk reference: A guide to learning disability identification (2nd ed.). New York: Wiley.Google Scholar
- Fletcher-Janzen, E., & Reynolds, C. R. (2008). Neuropsychological perspectives on learning disabilities in the era of RTI: Recommendations for diagnosis and intervention. Hoboken, NJ: Wiley.Google Scholar
- Hale, J. B., & Fiorello, C. A. (2004). School neuropsychology: A practitioner’s handbook. New York: Guilford Press.Google Scholar
- Horn, J. L. (1991). Measurement of intellectual capabilities: A review of theory. In K. S. McGrew, J. K. Werder, & R. W. Woodcock (Eds.), Woodcock-Johnson technical manual (pp. 197–232). Chicago: Riverside.Google Scholar
- Horn, J. L., & Blankson, N. (2005). Foundations for better understanding of cognitive abilities. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (2nd ed., pp. 41–68). New York: Guilford Press.Google Scholar
- Kaplan, E. (1988). A process approach to neuropsychological assessment. In T. Boll & B. K. Bryant (Eds.), Clinical neuropsychology and brain function: Research, measurement, and practice (pp. 125–167). Washington, DC: American Psychological Association.Google Scholar
- Kaufman, A. S. (1979). Intelligent testing with the WISC-R. New York: Wiley.Google Scholar
- Kaufman, A. S. (2000). Forward. In D. P. Flanagan, K. S. McGrew, & S. O. Ortiz (Eds.), The Wechsler intelligence scales and Gf-Gc theory: A contemporary approach to interpretation. Needham Heights, MA: Allyn & Bacon.Google Scholar
- Kaufman, A. S., & Kaufman, N. L. (2004). Kaufman Assessment Battery for Children-second edition. Circle Pines, MN: AGS Publishing.Google Scholar
- Keith, T. Z., & Reynolds, M. R. (2010). CHC and cognitive abilities: What we’ve learned from 20 years of research. Psychology in the Schools, 47, 635–650.Google Scholar
- Keith, T. Z., & Reynolds, M. R. (2012). Using confirmatory factor analysis to aid in understanding the constructs measured by intelligence tests. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (3rd ed., pp. 758–799). New York: Guilford Press.Google Scholar
- Korkman, M., Kirk, U., & Kemp, S. (2007). NEPSY-II: A developmental neuropsychological assessment. San Antonio, TX: The Psychological Corporation.Google Scholar
- Lezak, M. D. (1976). Neuropsychological assessment. New York: Oxford University Press.Google Scholar
- Lezak, M. D. (1995). Neuropsychological assessment (3rd ed.). New York: Oxford University Press.Google Scholar
- Lezak, M. D., Howieson, D. B., & Loring, D. W. (2004). Neuropsychological assessment (4th ed.). New York: Oxford University Press.Google Scholar
- Luria, A. R. (1973). The working brain: An introduction to neuropsychology. New York: Basic Books.Google Scholar
- Maricle, D. E., & Avirett, E. (2012). The emergence of neuropsychological constructs into tests of intelligence and cognitive abilities. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (3rd ed., pp. 800–819). New York: Guilford Press.Google Scholar
- Marzano, R., & Pickering, D. (1992). Dimensions of learning. Alexandria, VA: Association for Supervision and Curriculum Development.Google Scholar
- Mascolo, J. T., Flanagan, D. P., & Alfonso, V. C. (in press). Planning, selecting, and tailoring interventions for the unique learner. Hoboken, NJ: Wiley.Google Scholar
- McCloskey, G. (2009). The WISC-IV integrated. In D. P. Flanagan & A. S. Kaufman (Eds.), Essentials of WISC-IV assessment (2nd ed., pp. 310–467). Hoboken, NJ: Wiley.Google Scholar
- McCloskey, G. (2012). Working memory and executive functioning. In S. Goldstein & J. A. Naglieri (Eds.), Handbook on executive functioning.Google Scholar
- McCloskey, G., Perkins, L. A., & Van Divner, B. (2009). Assessment and intervention for executive function difficulties. New York: Routledge.Google Scholar
- McGrew, K. S. (2005). The Cattell-Horn-Carroll theory of cognitive abilities: Past, present, and future. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (2nd ed., pp. 136–182). New York: Guilford Press.Google Scholar
- McGrew, K. S. (1997). Analysis of the major intelligence batteries according to a proposed comprehensive CHC framework. In D. P. Flanagan, J. L. Genshaft, & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 151–180). New York: Guilford Press.Google Scholar
- McGrew, K. S., & Flanagan, D. P. (1998). The intelligence test desk reference (ITDR): Gf-Gc cross-battery assessment. Boston, MA: Allyn & Bacon.Google Scholar
- Meltzer, L. (2007). Executive function in education: From theory to practice. New York, NY: Guilford Press.Google Scholar
- Meltzer, L. (2012). Handbook of executive functioning. New York: Springer.Google Scholar
- Messick, S. (1989). Validity. In R. Linn (Ed.), Educational measurement (3rd ed., pp. 104–131). Washington, DC: American Council on Education.Google Scholar
- Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50, 741–749.CrossRefGoogle Scholar
- Miller, D. C. (2007). Essentials of school neuropsychological assessment. Hoboken, NJ: Wiley.Google Scholar
- Miller, D. C. (2010). Best practices in school neuropsychology: Guidelines for effective practice, assessment, and evidence-based intervention. Hoboken, NJ: Wiley.Google Scholar
- Miller, D. C. (2013). Essentials of school neuropsychological assessment (2nd ed.). Hoboken, NJ: Wiley.Google Scholar
- Miller, D. C., & Maricle, D. E. (2012). The emergence of neuropsychological constructs into tests of intelligence and cognitive abilities. In D. Flanagan & P. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (3rd ed., pp. 800–819). New York, NY US: Guilford Press.Google Scholar
- Naglieri, J. A. (2005). The cognitive assessment system. In D. P. Flanagan, P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (2nd ed., pp. 441–460). New York, NY: Guilford Press.Google Scholar
- Naglieri, J. A. (2012). The cognitive assessment system. In S. Goldstein & J. A. Naglieri (Eds.), Handbook on executive functioning.Google Scholar
- Reynolds, M. R., Keith, T. Z., Flanagan, D. P., & Alfonso, V. C. (in press). A cross-battery, reference variable, confirmatory factor analytic investigation of the CHC Taxonomy. Journal of School Psychology.Google Scholar
- Roid, G. H. (2003). Stanford-binet intelligence scales, (5th ed.). Itasca, IL: Riverside.Google Scholar
- Sattler, J. M. (1988). Assessment of children (3rd ed.). San Diego, CA: Author.Google Scholar
- Schneider, J. W., & McGrew, K. S. (2012). The Cattell-Horn-Carroll model of intelligence. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (3rd ed., pp. 99–144). New York: Guilford Press.Google Scholar
- Semrud-Clikeman, M., Wilkinson, A., & Wellington, T. (2005). Evaluating and using qualitative approaches to neuropsychological assessment. In R. D’Amato, E. Fletcher-Janzen, & C. R. Reynolds (Eds.), Handbook of school neuropsychology (pp. 287–302). Hoboken, NJ: Wiley.Google Scholar
- Strauss, E., Sherman, E. M. S., & Spreen, O. (2006). A compendium of neuropsychological tests: Administration, norms, and commentary (3rd ed.). New York: Oxford University Press.Google Scholar
- Wechsler, D. (2003). Wechsler intelligence scale for children—Fourth edition. San Antonio, TX: Psychological Corporation.Google Scholar
- Wechsler, D. (2004). Wechsler intelligence scale for children—fourth edition integrated. San Antonio, TX: Psychological Corporation.Google Scholar
- Wechsler, D. (2008). Wechsler adult intelligence scale—fourth edition. San Antonio, TX: Pearson.Google Scholar
- Wilson, B. C. (1992). The neuropsychological assessment of the preschool child: A branching model. In I. Rapin & S. I. Segalowitz (Vol. Eds.), Handbook of neuropsychology: Vol. 6. Child neuropsychology (pp. 377–394). San Diego, CA: Elsevier.Google Scholar
- Woodcock, R. W. (1990). Theoretical foundations of the WJ-R measures of cognitive ability. Journal of Psychoeducational Assessment, 8, 231–258.CrossRefGoogle Scholar
- Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson III tests of cognitive abilities. Itasca, IL: Riverside Publishing.Google Scholar
- Woodcock, R. W., McGrew, K. S., & Mather, N. (2007). Woodcock-Johnson III tests of cognitive abilities. Itasca, IL: Riverside Publishing.Google Scholar