Skip to main content Accessibility help
×
Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-24T16:41:44.308Z Has data issue: false hasContentIssue false

12 - Intellectual Assessment

from Part II - Specific Clinical Assessment Methods

Published online by Cambridge University Press:  06 December 2019

Martin Sellbom
Affiliation:
University of Otago, New Zealand
Julie A. Suhr
Affiliation:
Ohio University
Get access

Summary

Intellectual assessment has a unique role in psychological assessment, as it has been front and center in public debate and policy. Measures of intelligence describe an individual’s cognitive abilities and are highly correlated with academic achievement, occupational success, health, and mortality. This chapter briefly describes the major theories of intelligence, the instruments currently used to assess intelligence, and issues surrounding the use and interpretation of intelligence measures. Guidance is provided on selecting an appropriate instrument for a particular client, with discussion of construct coverage, psychometric soundness, normative sample characteristics, and relations to other measures. Logistical issues such as administration time, material requirements, and usability are also discussed. In addition to selecting appropriate measures, examiners need to develop habits that facilitate the unbiased interpretation of results. An overview of multicultural issues is included to help guide awareness of sources of influence on test results and interpretation.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abad, F. J., Sorrel, M. A., Roman, F. J., & Colom, R. (2016). The relationships between WAIS-IV factor index scores and educational level: A bifactor model approach. Psychological Assessment, 28, 9871000.Google Scholar
AERA (American Educational Research Association), APA (American Psychological Association), & NCME (National Council on Measurement in Education). (2014). The standards for educational and psychological testing. Washington, DC: Author.Google Scholar
Ang, S., VanDyne, L., & Tan, M. I. (2011). Cultural intelligence. In Sternberg, R. J. & Kaufman, S. B. (Eds.) Cambridge handbook of intelligence (pp. 582602). Cambridge: Cambridge University Press.CrossRefGoogle Scholar
APA (American Psychological Association). (2017). Multicultural guidelines: An ecological approach to context, identity, and intersectionality. www.apa.org/about/policy/multicultural-guidelines.pdfGoogle Scholar
Archer, R. P., Buffington-Vollum, J. K., Stredny, R., & Handel, R. W. (2006). A survey of psychological test use patterns among forensic psychologists. Journal of Personality Assessment, 87, 8494. https://doi.org/10.1207/s15327752jpa8701_07CrossRefGoogle ScholarPubMed
Bayley, N. (2006). Bayley scales of infant and toddler development (3rd ed.). San Antonio, TX: Harcourt Assessment.Google Scholar
Benson, N., Hulac, D. M., & Kranzler, J. H. (2010). Independent examination of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV): What does the WAIS-IV measure? Psychological Assessment, 22(1), 121130. https://doi.org/10.1037/a0017767Google Scholar
Bjorklund, D. F. (2012). Children’s thinking: Cognitive development and individual differences (5th ed.). Belmont, CA: Wadsworth/Cengage Learning.Google Scholar
Blalock, L. D., & McCabe, D. P. (2011). Proactive interference and practice effects in visuospatial working memory span task performance. Memory, 19(1), 8391. https://doi.org/10.1080/09658211.2010.537035Google Scholar
Bowden, S. C., Saklofske, D. H., & Weiss, L. G. (2011a). Augmenting the core battery with supplementary subtests: Wechsler Adult Intelligence Scale-IV measurement invariance across the United States and Canada. Assessment, 18, 133140.CrossRefGoogle ScholarPubMed
Bowden, S. C., Saklofske, D. H., & Weiss, L. G. (2011b). Invariance of the measurement model underlying the Wechsler Adult Intelligence Scale-IV in the United States and Canada. Educational and Psychological Measurement, 71, 186189.Google Scholar
Bracken, B. A. (1998). Bracken basic concept scale – Revised. San Antonio, TX: Psychological Corporation.Google Scholar
Bracken, B.A., & McCallum, R.S. (1998). Universal nonverbal intelligence test. Riverside Publishing.Google Scholar
Brickman, A. M., Cabo, R., & Manly, J. J. (2006). Ethical issues in cross-cultural neuropsychology. Applied Neuropsychology, 13, 91100.Google Scholar
Brown, T. E. (1996). Brown attention deficit disorder scales for adolescents and adults. Bloomington, MN: Pearson.Google Scholar
Bunting, M. (2006). Proactive interference and item similarity in working memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 32(2), 183196. https://doi.org/10.1037/0278-7393.32.2.183Google Scholar
Camara, W. J., Nathan, J. S., & Puente, A. E. (2000). Psychological test usage: Implications in professional psychology. Professional Psychology: Research and Practice, 31(2), 141154.Google Scholar
Canivez, G. L., Watkins, M. W., & Dombrowski, S. C. (2016). Factor structure of the Wechsler Intelligence Scale for Children-Fifth Edition: Exploratory factor analyses with the 16 primary and secondary subtests. Psychological Assessment, 28(8), 975986.CrossRefGoogle ScholarPubMed
Canivez, G. L., Watkins, M. W., & Dombrowski, S. C. (2017). Structural validity of the Wechsler Intelligence Scale for Children-Fifth Edition: Confirmatory factor analyses with the 16 primary and secondary subtests. Psychological Assessment, 29(4), 458472.CrossRefGoogle ScholarPubMed
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge: Cambridge University Press.Google Scholar
Cattell, R. B. (1941). Some theoretical issues in adult intelligence testing. Psychological Bulletin, 38, 592.Google Scholar
Cattell, R. B. (1943). The measurement of adult intelligence. Psychological Bulletin, 40, 153193.Google Scholar
Chen, H., Zhang, O., Raiford, S. E., Zhu, J., & Weiss, L. G. (2015). Factor invariance between genders on the Wechsler Intelligence Scale for Children-Fifth Edition. Personality and Individual Differences, 86, 15.Google Scholar
Cohen, M. J. (1997). Children’s memory scale. San Antonio, TX: Psychological Corporation.Google Scholar
Cottrell, J. M., & Barrett, C. A. (2017). Examining school psychologists’ perspectives about specific learning disabilities: Implications for practice. Psychology in the Schools, 54 (3), 294308. doi:10.1002/pits.21997Google Scholar
Council of State Directors for the Gifted and National Association of Gifted and Talented. (2015). State of the States in Gifted Education: Policy and Practice Data. www.nagc.org/sites/default/files/key%20reports/2014–2015%20State%20of%20the%20States%20%28final%29.pdfGoogle Scholar
Daniel, M. H. (2012). Q-interactive technical report 1: Equivalence of Q-interactive administered cognitive tasks: WAIS-IV. Bloomington, MN: Pearson. www.helloq.com/research.htmlGoogle Scholar
Daniel, M. H., Wahlstrom, D., & Zhang, O. (2014). Q-interactive technical report 8: Equivalence of Q-interactive and paper administrations cognitive tasks: WISC-V. Bloomington, MN: Pearson. www.helloq.com/research.htmlGoogle Scholar
Das, J. P., Naglieri, J. A., & Kirby, J. R. (1994). Assessment of cognitive processes: The PASS theory of intelligence. Needham Heights, MA: Allyn & Bacon.Google Scholar
Deary, I. J. (2014). The stability of intelligence from childhood to old age. Current Directions in Psychological Science, 23, 239245.Google Scholar
Deary, I. J., Weiss, A., & Batty, G. D. (2010). Intelligence and personality as predictors of illness and death: How researchers in differential psychology and chronic disease epidemiology are collaborating to understand and address health inequalities. Psychological Science in the Public Interest, 11(2), 5379.Google Scholar
Deary, I. J., Yang, J., Davies, G., Harris, S. E., Tenesa, A., Liewald, D. et al. (2012). Genetic contributions to stability and change in intelligence from childhood to old age. Nature, 482, 212215.Google Scholar
Dehn, M. J. (2013). Enhancing SLD diagnoses through the identification of psychological processing deficits. The Educational and Developmental Psychologist, 30(2), 119139. https://doi.org/10.1017/edp.2013.19Google Scholar
Delis, D. C., Kaplan, E., & Kramer, J. H. (2001). Delis-Kaplan executive function system. San Antonio, TX: Psychological Corporation.Google Scholar
Delis, D. C., Kramer, J. H., Kaplan, E., & Ober, B. A. (2000). California verbal learning test (2nd ed.). San Antonio, TX: Psychological Corporation.Google Scholar
Denney, D. A., Ringe, W. K., & Lacritz, L. H. (2015). Dyadic short forms of the Wechsler Adult Intelligence Scale-IV. Archives of Clinical Neuropsychology, 30(5), 404412. https://doi.org/10.1093/arclin/acv035Google Scholar
DiStefano, C., & Dombrowski, S. C. (2006). Investigating the theoretical structure of the Stanford–Binet-Fifth Edition. Journal of Psychoeducational Assessment, 24(2), 123126. https://doi.org/10.1177/0734282905285244Google Scholar
Dombrowski, S. C., McGill, R. J., & Canivez, G. L. (2016). Exploratory and hierarchical factor analysis of the WJ-IV Cognitive at school age. Psychological Assessment. 29(4), 394407. https://doi.org/dx.doi.org/10.1037/pas0000350Google Scholar
Dombrowski, S. C., McGill, R. J., & Canivez, G. L. (2018). An alternative conceptualization of the theoretical structure of the Woodcock-Johnson IV Tests of Cognitive Abilities at school age: A confirmatory factor analytic investigation. Archives of Scientific Psychology, 6, 113. http://dx.doi.org/10.1037/arc0000039Google Scholar
Drozdick, L. W., Getz, K., Raiford, S. E., & Zhang, O. (2016). Q-interactive technical report 14: WPPSI-IV: Equivalence of Q-interactive and paper formats. Bloomington, MN: Pearson. www.helloq.com/research.htmlGoogle Scholar
Drozdick, L. W., Holdnack, J. A., Weiss, L. G., & Zhou, X. (2013). Overview of the WAIS-IV/WMS-IV/ACS. In Holdnack, J. A., Drozdick, L W., Weiss, L. G., & Iverson, G. L. (Eds.), WAIS-IV, WMS-IV, and ACS: Advanced clinical interpretation (pp. 173). San Diego, CA: Academic Press.Google Scholar
Drozdick, L. W., Singer, J. K., Lichtenberger, E. O., Kaufman, J. C., Kaufman, A. S., & Kaufman, N. L. (2018). The Kaufman Assessment Battery for Children-second edition and the KABC-II Normative Update. In Flanagan, D. & Harrison, P. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (4th ed.). New York: Guilford Press.Google Scholar
Dunn, L. M., & Dunn, D. M. (2007). Peabody picture vocabulary test (4th ed.). San Antonio, TX: Pearson.Google Scholar
Ehrler, D. J., & McGhee, R. L. (2008). Primary test of nonverbal intelligence. Austin, TX: PRO-ED.Google Scholar
Elliott, C. D. (2007). Differential ability scales (2nd ed.). San Antonio, TX: Harcourt Assessment.Google Scholar
Elliott, C. D. (2012). Differential ability scales: Early Years Spanish supplement (2nd ed.). Bloomington, MN: Pearson.Google Scholar
Flanagan, D. P., & Alfonso, V. C. (2017). Essentials of WISC-V assessment. Hoboken, NJ: John Wiley & Sons.Google Scholar
Flanagan, D. P., & Dixon, S. G. (2014). The Cattell-Horn-Carroll theory of cognitive abilities. In Encyclopedia of Special Education. Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781118660584.ese0431Google Scholar
Flanagan, D. P., & McGrew, K. S. (1998). Interpreting intelligence tests from contemporary Gf-Gc theory: Joint confirmatory factor analysis of the WJ-R and KAIT in a non-white sample. Journal of School Psychology, 36(2), 151182. https://doi.org/10.1016/s0022-4405(98)00003-xGoogle 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, MA: Allyn & Bacon.Google Scholar
Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2013). Essentials of cross-battery assessment (3rd ed.). Hoboken, NJ: John Wiley & Sons.Google Scholar
Fletcher-Janzen, E. (2003). A validity study of the KABC-II and the Taos Pueblo children of New Mexico. Circle Pines, MN: American Guidance Service.Google Scholar
Fletcher-Janzen, E., Strickland, T. L., & Reynolds, C. (2000). Handbook of cross-cultural neuropsychology. New York: Springer Publishing.Google Scholar
Flynn, J. R. (1984). The mean IQ of Americans: Massive gains 1932 to 1978. Psychological Bulletin, 95(1), 2951. https://doi.org/10.1037//0033-2909.95.1.29Google Scholar
Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101(2), 171197. https://doi.org/10.1037/0033-2909.101.2.171Google Scholar
Flynn, J. R. (1999). Searching for justice: The discovery of IQ gains over time. American Psychologist, 54(1), 520. https://doi.org/10.1037//0003-066x.54.1.5Google Scholar
Ford, D. Y. (2004). The National Research Center for the Gifted and Talented Senior Scholar Series: Intelligence testing and cultural diversity: Concerns, cautions, and considerations. Nashville, TN: Vanderbilt University.Google Scholar
Ford, L., Kozey, M. L., & Negreiros, J. (2012). Cognitive assessment in early childhood: Theoretical and practical perspectives. In Flanagan, D. P. & Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (3rd ed., pp. 585622). New York: Guilford Press.Google Scholar
Fujita, K., Ishikuma, T., Aoyama, S., Hattori, T., Kumagai, K., & Ono, J. (2011). Theoretical foundation and structure of the Japanese version of KABC-II. Japanese Journal of K-ABC Assessment, 13, 8999. [In Japanese.]Google Scholar
Goddard, H. H. (1912). The Kallikak family: A study in the heredity of feeble-mindedness. New York: The Macmillan Company.Google Scholar
Goldstein, G. A., Allen, D. N., Minshew, N. J., Williams, D. L., Volkmar, F., Klin, A., & Schultz, R. T. (2008). The structure of intelligence in children and adults with high functioning autism. Neuropsychology, 22(3), 301312.Google Scholar
Goldstein, G., & Saklofske, D. H. (2010). The Wechsler Intelligence Scales in the assessment of psychopathology. In Wess, L. G., Saklofske, D. H., Coalson, D., & Raiford, S. E. (Eds.), WAIS-IV clinical use and interpretation: Scientist-practitioner perspectives (pp. 189216). London: Academic Press.Google Scholar
Gottfredson, L. S., & Deary, I. J. (2004). Intelligence predict health and longevity, but why? Current Directions in Psychological Science, 13, 14.Google Scholar
Gregoire, J., Daniel, M., Llorente, A. M., & Weiss, L. G. (2016). The Flynn effect and its clinical implications. In Weiss, L. G., Saklofske, D. H., Holdnack, J. A., & Prifitera, A. (Eds.), WISC-V assessment and interpretation: Scientist-practitioner perspectives (pp. 187212). San Diego, CA: Academic Press. https://doi.org/10.1016/B978-0-12-404697-9.00006-6Google Scholar
Green, P. (2004). Medical symptom validity test. Kelowana, BC: Paul Green Publishing.Google Scholar
Greiffenstein, M. F., Baker, W. J., & Gola, T. (1994). Validation of malingered amnesia measures with a large clinical sample. Psychological Assessment, 6, 218224.Google Scholar
Hammill, D. D., Pearson, N. A., & Wiederholt, J. L. (2009). Comprehensive test of nonverbal intelligence (2nd ed.). Austin, TX: PRO-ED.Google Scholar
Hammill, D. D., Weiderholt, J. L., & Allen, E. A. (2014). Test of silent contextual reading fluency (2nd ed.). Austin, TX: PRO-ED.Google Scholar
Hannay, H. J., & Lezak, M. D. (2004). The neuropsychological examination: Interpretation. In Lezak, M. D., Howieson, D. B., & Loring, D. W. (Eds.), Neuropsychological Assessment (4th ed.). New York: Oxford.Google Scholar
Harcourt Assessment. (2005). Wechsler individual achievement test (2nd ed.). San Antonio, TX: Author.Google Scholar
Heaton, R. K., Avitable, N., Grant, I., & Matthews, C. G. (1999). Further cross validation of regression based neuropsychological norms with an update for the Boston Naming Test. Journal of Clinical and Experimental Neuropsychology, 21, 572582.Google Scholar
Heaton, R. K., Taylor, M. J., & Manly, J. (2003). Demographic effects and the use of demographically corrected norms with the WAIS–III and WMS–III. In Tulsky, D. S., Saklofske, D. H., Chelune, G. J., Heaton, R. K., Ivnik, R. J., Bornstein, R., et al. (Eds.), Clinical interpretation of the WAIS–III and WMS–III (pp. 181–210) San Diego: Academic Press.Google Scholar
Holdnack, J. A., Drozdick, L. W., Weiss, L. A., & Iverson, G. L. (2013) WAIS-IV, WMS-IV, and ACS: Advanced Clinical Interpretation. San Diego, CA: Academic Press.Google Scholar
Holdnack, J. A., Lissner, D., Bowden, S. C., & McCarthy, K. A. L. (2004). Utilising the WAIS-III/WMS-III in clinical practice: Update of research and issues relevant to Australian normative research. Australian Psychologist, 39, 220227.Google Scholar
Horn, J. L. (1965). Fluid and crystallized intelligence: A factor analytic study of the structure among primary mental abilities. Unpublished doctoral dissertation, University of Illinois, Champaign.Google Scholar
Horn, J. L. (1968). Organization of abilities and the development of intelligence. Psychological Review, 75, 242259.Google Scholar
Horn, J. L. (1972). State, trait and change dimensions of intelligence: A critical experiment. British Journal of Educational Psychology, 42, 159185.Google Scholar
Horn, J. L., & Cattell, R. B. (1966). Refinement and test of the theory of fluid and crystallized intelligence. Journal of Educational Psychology, 57, 253270.Google Scholar
Howieson, D. B., Loring, D. W., & Hannay, H. J. (2004). Neurobehavioral variables and diagnostic issues. In Lezak, M. D., Howieson, D. B., & Loring, D. W., Neuropsychological assessment (4th ed.). New York: Oxford University Press.Google Scholar
Hresko, W., Schlieve, P., Herron, S., Swain, C., & Sherbenou, R. (2003). Comprehensive mathematical abilities test. Austin, TX: PRO-ED.Google Scholar
Hunt, M. S. (2008). A joint confirmatory factor analysis of the Kaufman Assessment Battery for Children, second edition, and the Woodcock-Johnson tests of cognitive abilities, third edition, with preschool children. Dissertation Abstracts International Section A: Humanities and Social Sciences, 68(11-A), 4605.Google Scholar
Hunter, J. E., & Schmidt, F. L. (1996). Intelligence and job performance: Economic and social implications. Psychology, Public Policy, and Law, 6, 447472.Google Scholar
Jensen, A. R. (2000). TESTING: The dilemma of group differences. Psychology, Public Policy, and Law, 6, 121127. https://doi.org/10.1037/1076-8971.6.1.121Google Scholar
Kaufman, A. S. (2009). IQ testing 101. New York: Springer Publishing.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (1983). Kaufman assessment battery for children. Circle Pines, MN: American Guidance Service.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (1993). Kaufman adolescent and adult intelligence test. Circle Pines, MN: American Guidance Service.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (2004a). Kaufman assessment battery for children, second edition (KABC-II) manual. Circle Pines, MN: American Guidance Service.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (2004b). Kaufman test of educational achievement, second edition (KTEA-II) comprehensive form manual. Circle Pines, MN: American Guidance Service.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (2004c). Kaufman brief intelligence test (2nd ed.). Bloomington, MN:Pearson.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (2008). KABC-II batterie pour l’examen psychologique de l’enfant-deuxième édition. Montreuil: Éditions du Centre de Psychologie Appliquée.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (2014). Kaufman test of educational achievement (3rd ed.). Bloomington, MN: NCS Pearson.Google Scholar
Kaufman, A. S., & Kaufman, N. L. (2018). Kaufman assessment battery for children, second edition, normative update. Bloomington, MN: NCS Pearson.Google Scholar
Kaufman, A. S., & Kaufman, N. L., Drozdick, L. W., & Morrison, J. (2018) Kaufman assessment battery for children, second edition, normative update manual supplement. Bloomington, MN: NCS Pearson.Google Scholar
Kaufman, A. S., Kaufman, N. L., Melchers, P., & Melchers, M. (2014). German-language adaptation of the Kaufman assessment battery for children (2nd ed.). Frankfurt: Pearson.Google Scholar
Kaufman, A. S., Kaufman, N. L., & Publication Committee of Japanese Version of the KABC-II. (2013). Japanese version of Kaufman assessment battery for children (2nd ed.). Tokyo: Maruzen.Google Scholar
Kaufman, A. S., & Lichtenberger, E. O. (2006). Assessing adolescent and adult intelligence (3rd ed.). Hoboken, NJ: John Wiley & Sons.Google Scholar
Kaufman, A. S., Lichtenberger, E. O., Fletcher-Janzen, E., & Kaufman, N. L. (2005). Essentials of KABC-II assessment. Hoboken, NJ: John Wiley & Sons.Google Scholar
Kaufman, A. S., Raiford, S. E., & Coalson, D. L. (2016). Intelligent testing with the WISC-V. Hoboken, NJ: John Wiley & Sons.Google Scholar
Kaufman, A. S., & Weiss, L. G. (2010). Guest editors’ introduction to the special issue of JPA on the Flynn effect. Journal of Psychoeducational Assessment, 28(5), 379381. https://doi.org/10.1177/0734282910373344Google Scholar
Keith, T. Z., Fine, J. G., Taub, G. E., Reynolds, M. R., & Kranzler, J. H. (2006). Higher order, multisample, confirmatory factor analysis of the Wechsler Intelligence Scale for Children – Fourth Edition: What does it measure? School Psychology Review, 35, 108127.Google Scholar
Keith, T. Z., Low, J. A., Reynolds, M. R., Patel, P. G., & Ridley, K. P. (2010). Higher-order factor structure of the Differential Ability Scales-II: Consistency across ages 4 to 17. Psychology in the Schools, 47, 676697.Google Scholar
Kellogg, C. E., & Morton, N. W. (2016). Beta (4th ed.). San Antonio, TX: Pearson.Google Scholar
Kendler, K. S., Ohlsson, H., Mezuk, B., Sundquist, J. O., & Sundquist, K. (2016). Observed cognitive performance and deviation from familial cognitive aptitude at age 16 years and ages 18 to 20 years and risk for schizophrenia and bipolar illness in a Swedish national sample. JAMA Psychiatry; 73, 465471. https://doi.org/10.1001/jamapsychiatry.2016.0053Google Scholar
Kirkwood, M. W. (2015). Validity testing in child and adolescent assessment: Evaluating exaggerating, feigning and noncredible effort. New York: Guilford Press.Google Scholar
Kirkwood, M. W., Hargrave, D. D., & Kirk, J. W. (2011). The value of the WISC-IV digit span subtest in noncredible performance during pediatric neuropsychological examinations. Archives of Clinical Neuropsychology, 26(5), 377385. https://doi.org/10.1093/arclin/acr040.Google Scholar
Larsen, L., Hartmann, P., & Nyborg, H. (2008). The stability of general intelligence from early adulthood to middle-age. Intelligence, 36, 2934.Google Scholar
Lezak, M. D., Howieson, D. B., Bigler, E. D., & Tranel, D. (2012). Neuropsychological assessment (5th 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
Lichtenberger, E. O., & Kaufman, A. S. (2009). Essentials of WAIS-IV assessment, Vol. 50. John Wiley & Sons.Google Scholar
Luria, A. R. (1973). The working brain: An introduction to neuropsychology (trans. B. Haigh). London: Penguin Books.Google Scholar
Luria, A. R. (1980). Higher cortical functions in man (trans. B. Haigh, 2nd ed.). New York: Basic Books.Google Scholar
Malda, M., van de Vijver, F. J. R., Srinivasan, K., & Sukumar, P. (2010). Traveling with cognitive tests: Testing the validity of a KABC-II adaptation in India. Assessment, 17, 107115.Google Scholar
Manly, J. J. (2005). Advantages and disadvantages of separate norms for African Americans. The Clinical Neuropsychologist, 19, 270275. https://doi.org/10.1080/13854040590945346Google Scholar
Manly, J. J., & Echemendia, R. J. (2007). Race-specific norms: Using the model of hypertension to understand issues of race, culture, and education in neuropsychology. Archives of Clinical Neuropsychology, 22, 319325.Google Scholar
Markwardt, F. C. (1989). Peabody individual achievement test-revised. Circle Pines, MN: American Guidance Service.Google Scholar
Markwardt, F. C. (1997). Peabody individual achievement test-revised/normative update. Circle Pines, MN: American Guidance Service.Google Scholar
Mays, K. L., Kamphaus, R. W., & Reynolds, C. R. (2009) Applications of the Kaufman assessment battery for children, 2nd edition in neuropsychological assessment. In Reynolds, C. R. & Fletcher-Janzen, E. (Eds.), Handbook of clinical child neuropsychology (3rd ed., pp. 281296). Boston, MA: Springer.Google Scholar
McFadden, T. U. (1996). Creating language impairments in typically achieving children: The pitfalls of “normal” normative sampling. Language, Speech, and Hearing Services in Schools, 27, 39.Google Scholar
McGrew, K. S. (1997). Analysis of the major intelligence batteries according to a proposed comprehensive Gf-Gc framework. In Flanagan, D. P., Genshaft, J. L., & Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (pp. 151179). New York: Guilford.Google Scholar
McGrew, K. S., & Evans, J. J. (2004). Internal and external factorial extensions to the Cattell-Horn-Carroll (CHC) theory of cognitive abilities: A review of factor analytic research since Carroll’s seminal 1993 treatise. St. Joseph, MN: Institute for Applied Psychometrics.Google Scholar
Meehl, P. E., & Rosen, A. (1955). Antecedent probability and the efficiency of psychometric signs, patterns, or cutting scores. Psychological Bulletin, 52(3), 194216. https://doi.org/10.1037/h0048070.Google Scholar
Meyers, J. E., Zellinger, M. M., Kockler, T., Wagner, M., & Miller, R. M. (2013). A validated seven-subtest short form for the WAIS-IV. Applied Neuropsychology: Adult, 20, 249256.Google Scholar
Miller, D. C. (2013). Essentials of school neuropsychological assessment (2nd ed.). Hoboken, NJ: John Wiley & Sons.Google Scholar
Miller, D. I., Davidson, P. S. R., Schindler, D., & Meisser, C. (2013). Confirmatory factor analysis of the WAIS-IV and WMS-IV in older adults. Journal of Psychoeducational Assessment, 31, 375390.Google Scholar
Mitrushina, M., Boone, K. B., Razani, J., & D’Elia, L. F. (2005). Handbook of normative data for neuropsychological assessment (2nd ed.). New York: Oxford University Press.Google Scholar
Mittenburg, W., Patton, C., Canyock, E. M., & Condit, D. C. (2002). Base rates of malingering and symptom exaggeration. Journal of Clinical and Experimental Neuropsychology, 24, 10941102.Google Scholar
Morgan, K. E., Rothlisberg, B. A., McIntosh, D. E., & Hunt, M. S. (2009). Confirmatory factor analysis of the KABC-II in preschool children. Psychology in the Schools, 46(6), 515525. https://doi.org/10.1002/pits.20394Google Scholar
Naglieri, J. A. (2015). Naglieri nonverbal ability test (3rd ed.). Bloomington, MN: Pearson.Google Scholar
Naglieri, J. A., & Das, J. P. (1997). Cognitive assessment system. Itasca, IL: Riverside.Google Scholar
Naglieri, J. A., Das, J. P., & Goldstein, S. (2014a). Cognitive assessment system (2nd ed.). Itasca, IL: Riverside.Google Scholar
Naglieri, J. A., Das, J. P., & Goldstein, S. (2014b). Cognitive assessment system – second edition: Brief. Itasca, IL: Riverside.Google Scholar
Naglieri, J. A., Das, J. P., & Goldstein, S. (2014c). Cognitive assessment system – second edition: Rating scale. Itasca, IL: Riverside.Google Scholar
Niileksela, C. R., Reynolds, M. R., & Kaufman, A. S. (2013). An alternative Cattell-Horn-Carroll (CHC) factor structure of the WAIS-IV: Age invariance of an alternative model for ages 70–90. Psychological Assessment, 25, 391404.Google Scholar
Norfolk, P. A., Farner, R. L., Floyd, R. G., Woods, I. L., Hawkins, H. K., & Irby, S. M. (2014). Norm block sample sizes: A review of 17 individually administered intelligence tests. Journal of Psychoeducational Assessment, 33, 544554.Google Scholar
Norman, M. A., Evans, J. D., Miller, S. W., & Heaton, R. K. (2000). Demographically corrected norms for the California Verbal Learning Test. Journal of Clinical and Experimental Neuropsychology, 22, 8094.Google Scholar
Oakland, T., Douglas, S., & Kane, H. (2016). Top ten standardized tests used internationally with children and youth by school psychologists in 64 countries: A 24-year follow-up study. Journal of Psychoeducational Assessment, 34(2), 166176. https://doi.org/10.1177/0734282915595303Google Scholar
Pearson. (2009a). Wechsler individual achievement test (3rd ed.). San Antonio, TX: Author.Google Scholar
Pearson. (2009b). Advanced clinical solutions for WAIS-IV and WMS-IV. San Antonio, TX: Author.Google Scholar
Pena, E. D., Spaulding, T. J., & Plante, E. (2006). The composition of normative groups and diagnostic decision making: Shooting ourselves in the foot. American Journal of Speech-Language Pathology, 15, 247254.Google Scholar
Potvin, D. C. H., Keith, T. Z., Caemmerer, J. M., & Trundt, K. M. (2015). Confirmatory factor structure of the Kaufman Assessment Battery for Children-Second Edition With Preschool children: Too young for differentiation? Journal of Psychoeducational Assessment, 33(6), 522533. https://doi.org/10.1177/0734282914568538Google Scholar
Rabin, L. A., Barr, W. B., & Burton, L. A. (2005). Assessment practices of clinical neuropsychologists in the United States and Canada: A survey of INS, NAN, and APA Division 40 members. Archives of Clinical Neuropsychology, 20(1), 3365. https://doi.org/10.1016/j.acn.2004.02.005Google Scholar
Rabin, L. A., Paolillo, E., & Barr, W. B. (2016). Stability in test-usage practices of clinical neuropsychologists in the United States and Canada over a 10-year period: A follow-up survey of INS and NAN members. Archives of Clinical Neuropsychology, 31, 206230. https://doi.org/10.1093/arclin/acw007Google Scholar
Raiford, S. E. (2017). Essentials of WISC-V integrated assessment. Hoboken, NJ: John Wiley & Sons.Google Scholar
Raiford, S. E., Drozdick, L. W., & Zhang, O. (2015). Q-interactive technical report 11: Q-Interactive special group studies: The WISC-V and children with autism spectrum disorder and accompanying language impairment or attention-deficit/hyperactivity disorder. Bloomington, MN: Pearson. www.helloq.com/research.htmlGoogle Scholar
Raiford, S. E., Drozdick, L. W., & Zhang, O. (2016). Q-interactive technical report 13: Q-interactive Special group studies: The WISC-V and children with specific learning disorders in reading and mathematics. Bloomington, MN: Pearson. www.helloq.com/research.htmlGoogle Scholar
Raiford, S. E., Holdnack, J., Drozdick, L. W., & Zhang, O. (2014). Q-interactive technical report 9: Q-interactive Special Group Studies: The WISC-V and children with intellectual giftedness and intellectual disabilities. Bloomington, MN: Pearson. www.helloq.com/research.htmlGoogle Scholar
Raiford, S. E., Zhang, O., Drozdick, L. W., Getz, K., Wahlstorm, D., Gabel, A., Holdnack, J., & Daniel, M. H. (2016). Q-Interactive technical report 12: WISC-V coding and symbol search in digital format: Reliability, validity, special group studies, and interpretation. Bloomington, MN: Pearson. www.helloq.com/research.htmlGoogle Scholar
Randolph, C. (1998). Repeated battery for the assessment of neuropsychological status. San Antonio, TX: Pearson.Google Scholar
Raven, J. C. (2018). Ravens 2 progressive matrices: Clinical edition. Bloomington, MN: Pearson.Google Scholar
Reynolds, C. R., & Fletcher-Janzen, E. (Eds.). (2007). Encyclopedia of special education: A reference for the education of children, adolescents, and adults with disabilities and other exceptional individuals, Vol. 3 (3rd ed.). Hoboken, NJ: John Wiley & Sons.Google Scholar
Reynolds, C. R., & Kamphaus, R. W. (2015). Reynolds intellectual assessment scales (2nd ed.). Lutz, FL: Psychological Assessment Resources.Google Scholar
Reynolds, M. R., Keith, T. Z., Fine, J. G., Fisher, M. E., & Low, J. A. (2007). Confirmatory factor structure of the Kaufman Assessment Battery for Children—Second Edition: Consistency with Cattell–Horn–Carroll theory. School Psychology Quarterly, 22(4), 511539. https://doi.org/10.1037/1045-3830.22.4.511Google Scholar
Reynolds, M. R., Ridley, K. P., & Patel, P. G. (2008). Sex differences in latent general and broad cognitive abilities for children and youth: Evidence from higher-order MG-MACS and MIMIC Models. Intelligence, 26, 236260.Google Scholar
Rohling, M. L., Miller, R. M., Axelrod, B. N., Wall, J. R., Lee, A. J. H., & Kinikini, D. T. (2015). Is co-norming required? Archives of Clinical Neuropsychology, 30, 611633.CrossRefGoogle ScholarPubMed
Roid, G. H. (2003). Stanford-Binet intelligence scales – fifth edition: Technical manual. Itasca, IL: Riverside.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(2), 119128. https://doi.org/10.1037/a0020148Google Scholar
Rushton, J. P., & Rushton, E. W. (2003). Brain size, IQ, and racial group differences: Evidence from musculoskeletal traits. Intelligence, 31, 139155. https://doi.org/10.1016/S0160-2896(02)00137-X.Google Scholar
Russell, E. W., Russell, S. L., & Hill, B. D. (2005). The fundamental psychometric status of neuropsychological batteries. Archives of Clinical Neuropsychology, 20(6), 785794. https://doi.org/10.1016/j.acn.2005.05.001.Google Scholar
Sameroff, A. J., Seifer, R., Baldwin, A., & Baldwin, C. (1993). Stability of intelligence from preschool to adolescence: The influence of social and family risk factors. Child Development, 64, 8097.Google Scholar
Sattler, J. M. (2008). Assessment of children: Cognitive foundations (5th ed.). La Mesa, CA: Author.Google Scholar
Sattler, J. M. (2016). Assessment of children: WISC-V and WPPSI-IV. La Mesa, CA: Author.Google Scholar
Sattler, J. M., & Ryan, J. J. (2009). Assessment with the WAIS-IV. La Mesa, CA: Author.Google Scholar
Scheiber, C. (2016a). Do the Kaufman tests of cognitive ability and academic achievement display construct bias across a representative sample of Black, Hispanic, and Caucasian school-age children in grades 1 through 12? Psychological Assessment, 28(8), 942952. https://doi.org/10.1037/pas0000236Google Scholar
Scheiber, C. (2016b). Is the Cattell-Horn-Carroll-based factor structure of the Wechsler Intelligence Scale for Children-fifth edition (WISC-V) construct invariant for a representative sample of African-American, Hispanic, and Caucasian male and female students ages 6 to 16 years? Journal of Pediatric Neuropsychology, 2(3–4), 7988. https://doi.org/10.1007/s40817-016-0019-7Google Scholar
Scheiber, C. & Kaufman, A. S. (2015). Which of the three KABC-II global scores is the least biased? Journal of Pediatric Neuropsychology, 1, 2135.Google Scholar
Schmidt, F. L., & Hunter, J. E. (2004). General mental ability in the work place. Journal of Personality and Social Psychology, 86, 162173.Google Scholar
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 (3rd ed., pp. 99114). New York: Guilford Press.Google Scholar
Schneider, W. J., & McGrew, K. S. (2018). The Cattell-Horn-Carroll theory of cognitive abilities. In Flanagan, D. P. & McDonough, E. M (Eds.), Contemporary intellectual assessment: Theories, tests and issues (4th ed., pp. 73163). New York: Guilford Press.Google Scholar
Schrank, F. A., Mather, N., & McGrew, K. S. (2014a). Woodcock-Johnson-IV tests of achievement. Rolling Meadows, IL: Riverside.Google Scholar
Schrank, F. A., Mather, N., & McGrew, K. S. (2014b). Woodcock-Johnson-IV tests of oral language. Rolling Meadows, IL: Riverside.Google Scholar
Schrank, F. A., McGrew, K. S., & Mather, N. (2014). Woodcock-Johnson–IV tests of cognitive abilities. Rolling Meadows, IL: Riverside.Google Scholar
Schwartz, H. (2014). Following reports of forced sterilization of female inmates, California passes ban. Washington Post, 26 September. www.washingtonpost.com/blogs/govbeat/wp/2014/09/26/following-reports-of-forced-sterilization-of-female-prison-inmates-california-passes-ban/?utm_term=.0085bcae1945Google Scholar
Sotelo-Dynega, M., & Dixon, S. G. (2014). Cognitive assessment practices: A survey of school psychologists. Psychology in the Schools, 51(10), 10311045.Google Scholar
Spearman, C. (1927). The abilities of man, their nature, and measurement. New York: Macmillan.Google Scholar
Staffaroni, A. M., Eng, M. E., Moses, J. A. Jr., Zeiner, H. K., & Wickham, R. E. (2018). Four- and five-factor models of the WAIS-IV in a clinical sample: Variations in indicator configuration and factor correlational structure. Psychological Assessment, 30, 693706.Google Scholar
Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of personality and social psychology, 69(5), 797811.Google Scholar
Sternberg, R. J. (1999). A triarchic approach to the understanding and assessment of intelligence in multicultural populations. Journal of School Psychology, 37(2), 145159. https://doi.org/10.1016/S0022-4405(98)00029-6.Google Scholar
Sternberg, R. J., & Detterman, D. K. (Eds.). (1986). What is intelligence? Norwood, NJ: Ablex.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
Taub, G. E., & McGrew, K. S. (2004). A confirmatory factor analysis of Cattell-Horn-Carroll theory and cross-age invariance of the Woodcock-Johnson Tests of Cognitive Abilities III. School Psychology Quarterly, 19(1), 7287.Google Scholar
Terman, L. M. (1916). The measurement of intelligence: An explanation of and a complete guide for the use of the Stanford revision and extension of the Binet-Simon Intelligence Scale. Oxford: Houghton Mifflin.Google Scholar
Thorndike, R. L., Hagen, E. P., & Sattler, J. M. (1986). Stanford-Binet intelligence scale (4th ed.). Chicago: Riverside.Google Scholar
Tombaugh, T. N. (1997). The Test of Memory Malingering (TOMM): Normative data from cognitively intact and cognitively impaired individuals. Psychological Assessment, 9, 260268.Google Scholar
Turkheimer, E., Haley, A., Waldron, M., D’Onofrio, B., & Gottesman, I. I. (2003). Socioeconomic status modifies heritability of IQ in young children. Psychological Science, 14 (6), 623628. https://doi.org/10.1046/j.0956-7976.2003.psci_1475.xGoogle Scholar
Vig, S., & Sanders, M. (2007). Cognitive assessment. In Brassard, M. R., & Boehm, A. E. (Eds.), Preschool assessment: Principles and practices (pp. 383419). New York: Guilford Press.Google Scholar
Visser, L., Ruiter, S. A., van der Meulen, B. F., Ruijssenaars, W. A., & Timmerman, M. E. (2012). A review of standardized developmental assessment instruments for young children and their applicability for children with special needs. Journal of Cognitive Education and Psychology, 11(2), 102127.Google Scholar
Ward, L. C., Bergman, M. A., & Hebert, K. R. (2012). WAIS-IV subtest covariance structure: Conceptual and statistical considerations. Psychological Assessment, 24(2), 328340. https://doi.org/10.1037/a0025614Google Scholar
Watkins, M. W., & Beaujean, A. A. (2014). Bifactor structure of the Wechsler Preschool and Primary Scale of Intelligence – Fourth Edition. School Psychology Quarterly, 29, 5263.Google Scholar
Wechsler, D. (1955). Wechsler adult intelligence scale. New York: Psychological Corporation.Google Scholar
Wechsler, D. (2004). Wechsler intelligence scale for children: Spanish (4th ed.). Bloomington, MN: NCS Pearson.Google Scholar
Wechsler, D. (2008). Wechsler adult intelligence scale (4th ed.). Bloomington, MN: NCS Pearson.Google Scholar
Wechsler, D. (2009). Wechsler memory scale (4th ed.). Bloomington, MN: NCS Pearson, Inc.Google Scholar
Wechsler, D. (2011). Wechsler abbreviated scale of intelligence (2nd ed.). Bloomington, MN: NCS Pearson.Google Scholar
Wechsler, D. (2012). Wechsler preschool and primary scale of intelligence (4th ed.). Bloomington, MN: NCS Pearson.Google Scholar
Wechsler, D. (2014). Wechsler intelligence scale for children (5th ed.). Bloomington, MN: NCS Pearson.Google Scholar
Wechsler, D. (2017). Wechsler intelligence scale for children: Spanish (5th ed.). Bloomington, MN: NCS Pearson.Google Scholar
Wechsler, D., & Kaplan, E. (2015). Wechsler intelligence scale for children: Integrated (5th ed.). Bloomington, MN: NCS Pearson.Google Scholar
Weiderholt, J. L., & Bryant, B. R. (2012). Gray oral reading tests (5th ed.). Austin, TX: PRO-ED.Google Scholar
Weiss, L. G., Keith, T. Z., Zhu, J., & Chen, H. (2013a). WAIS-IV clinical validation of the four- and five factor interpretive approaches [special edition]. Journal of Psychoeducational Assessment, 31(2), 94113. https://doi.org/10.1177/0734282913478030Google Scholar
Weiss, L. G., Keith, T. Z., Zhu, J., & Chen, H. (2013b). WISC-IV and clinical validation of the four- and five-factor interpretive approaches [special edition]. Journal of Psychoeducational Assessment, 31(2), 114131. https://doi.org/10.1177/0734282913478032Google Scholar
Weiss, L. G., Saklofske, D. H., Prifitera, A., & Holdnack, J. A. (2006). WISC-IV: Advanced clinical interpretation. Burlington, MA: Academic Press.Google Scholar
Wilkinson, G. S., & Robertson, G. J. (2006). WRAT4 wide range achievement test (4th ed.). Lutz, FL: Psychological Assessment Resources.Google Scholar
Wong, T. M., Strickland, T. L., Fletcher-Janzen, E., Ardilla, A., & Reynolds, C. R. (2000). Theoretical and practical issues in the neuropsychological treatment and assessment of culturally dissimilar patients. In Fletcher-Janzen, E., Strickland, T.L., & Reynolds, C.R. (Eds.) Handbook of cross-cultural neuropsychology (pp. 318). New York: Springer Science & Business Media.Google Scholar
Woodcock, R. W., & Johnson, M. B. (1977). Woodcock-Johnson psycho-educational battery. Rolling Meadows, IL: Riverside.Google Scholar
Woodcock, R. W., McGrew, K. S., & Mather, N. (2001a). Woodcock-Johnson III: Tests of cognitive abilities. Chicago: Riverside Publishing.Google Scholar
Woodcock, R. W., McGrew, K. S., & Mather, N. (2001b). Woodcock-Johnson III: Tests of achievement instrument. Itasca, IL: Riverside Publishing.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×