Skip to main content

Measurement and Statistical Problems in Neuropsychological Assessment of Children

  • Chapter

Part of the book series: Critical Issues in Neuropsychology ((CINP))

Abstract

The field of neuropsychology as practiced clinically has been driven in large part by the development and application of standardized diagnostic procedures that are more sensitive than medical examinations to changes in behavior, in particular higher cognitive processes, as related to brain function. The techniques and methods so derived have led to major conceptual and theoretical advances in the understanding of normal and abnormal patterns of brain—behavior relationships. Despite the apparent utility of many of the neuropsychological tests discussed in this volume, their psychometric properties leave much to be desired. Much of their utility comes from the clinical acumen and experience of their users and developers, a situation that has, historically, made clinical neuropsychology more difficult to teach than should be the case. In fact, much of today’s practice and yesterday’s theoretical advances in clinical neuropsychology stem from intense and insightful observation of brain-damaged individuals by such astute observers as Ward Halstead, A. R. Luria, Hans Teuber, Karl Pribram, Roger Sperry, and others. These superstars of clinical neuropsychology were state-of-the-art researchers (though the state of the art was often crude) to be sure, but their greatest inspirations came from their constant monitoring and informal interactions with the behavior of persons suffering from a variety of neurological trauma and disease. Halstead roamed the halls of Otho S. S. Sprague making notes as he observed behavior among brain-damaged individuals; Luria gained great insights into brain function with his rather informal, sometimes impromptu, bedside examination and discussions with soldiers with head injury; Sperry and his students followed and observed a series of “split-brain” patients going about their daily activities, even to the point of observing some as they dressed themselves and others in leisure activities.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   74.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Adams, R. L. (1985). Review of the Luria—Nebraska Neuro-psychological Battery. In J. V. Mitchell (Ed.), The ninth mental measurements yearbook. Lincoln: University of Nebraska Press.

    Google Scholar 

  • Angoff, W. H. (1971). Scales, norms, and equivalent scores. In R. L. Thorndike (Ed.), Educational measurement ( 2nd ed. ). Washington, DC: American Council on Education.

    Google Scholar 

  • Ardila, A., Roselli, M., and Puente, T. (1994). Neuropsychological evaluation of the Spanish speaker. New York: Plenum Press.

    Google Scholar 

  • Arnold, B. R., Montgomery, G. T., Castaneda, I., and Langoria, R. (1994). Acculturation and performance of Hispanics on selected Halstead—Reitan neuropsychological tests. Assessment, 1, 239–248.

    Google Scholar 

  • Bernard, L. C., Houston, W., and Natoli, L. (1993). Malingering on neuropsychological memory tests: Potential objective indicators. Journal of Clinical Psychology, 49, 45–53.

    Article  PubMed  Google Scholar 

  • Bersoff, D. N. (1982). The legal regulation of school psychology. In C. R. Reynolds and T. B. Gutkin (Eds.), The handbook of school psychology. New York: Wiley.

    Google Scholar 

  • Boder, E., and Jarrico, S. (1982). Boder Test of Reading—Spelling Patterns. New York: Grune and Stratton.

    Google Scholar 

  • Boone, K., Ghaffarian, S., Lesser, I., and Hill—Gutierrez, E. (1993). Wisconsin Card Sorting Test performance in healthy, older adults: Relationship to age, sex, education, and IQ. Journal of Clinical Psychology, 49, 54–60.

    Google Scholar 

  • Burns, E. (1982). The use and interpretation of standard grade equivalents. Journal of Learning Disabilities, 15, 17–18.

    Article  Google Scholar 

  • Cattell, R. B. (1966). Handbook of multivariate experimental psychology. Chicago: Rand McNally.

    Google Scholar 

  • Cattin, P. (1980). Note on the estimation of the squared cross-validated multiple correlation of a regression model. Psychological Bulletin, 87, 63–65.

    Google Scholar 

  • Cicchetti, D. V. (1994). Multiple comparison methods: Establishing guidelines for their valid application in neuropsychological research. Journal of Clinical and Experimental Neuropsychology, 16, 155–161.

    Article  PubMed  Google Scholar 

  • Coles, G. S. (1978). The learning disabilities test battery: Empirical and social issues. Howard Educational Review, 4, 313–340.

    Google Scholar 

  • Cooley, W. W., and Lohnes, P. R. (1971). Multivariate data analysis. New York: Wiley.

    Google Scholar 

  • Cronbach, L. J. (1990). Essentials of psychological testing ( 5th ed. ). New York: Harper and Row.

    Google Scholar 

  • Cronbach, L. J., and Gleser, G. C. (1953). Assessing similarity be- tween profiles. Psychological Bulletin, 50, 456–473.

    Article  PubMed  Google Scholar 

  • Davis, F. B. (1959). Interpretation of differences among average and individual test scores. Journal of Educational Psychology, 50, 162–170.

    Article  Google Scholar 

  • Dean, R. S. (1978). Distinguishing learning-disabled and emotionally disturbed children on the WISC-R. Journal of Consulting and Clinical Psychology, 46, 4381–4382.

    Article  Google Scholar 

  • Dean, R. S. (1985). Review of the Halstead-Reitan Neuropsychological Test Battery. In J. V. Mitchell (Ed.), The ninth mental measurements yearbook. Lincoln: University of Nebraska Press.

    Google Scholar 

  • Dunleavy, R. A., Hansen, J. L., and Baade, L. E. (1981). Discriminating powers of Halstead Battery tests in assessment of 9 to 14 year old severely asthmatic children. Clinical Neuropsychology, 3, 99–12.

    Google Scholar 

  • Feldt, L. S., and Brennan, R. L. (1989). Reliability. In R. Linn (Ed.), Educational measurement ( 3rd ed. ). New York: Macmillan Co.

    Google Scholar 

  • Fuller, G. B., and Goh, D. S. (1981). Intelligence, achievement, and visual-motor performance among learning disabled and emotionally impaired children. Psychology in the Schools, 18, 262–268.

    Article  Google Scholar 

  • Glass, G. V. (1978). Integrating findings: The meta-analysis of research. In L. Shulman (Ed.), Review of Research in Education, 5, 351–379.

    Google Scholar 

  • Golden, C. J. (1981). Diagnosis and rehabilitation in clinical neuropsychology ( 2nd ed. ). Springfield, IL: Thomas.

    Google Scholar 

  • Golden, C. J., Moses, J. A., Jr., Graber, B., and Berg, T. (1981). Objective clinical rules for interpreting the Luria-Nebraska Neuropsychological Battery: Derivation, effectiveness, and validation. Journal of Consulting and Clinical Psychology, 49, 616–668.

    Article  PubMed  Google Scholar 

  • Gordon, R. A. (1984). Digits backward and the Mercer-Kamin law: An empirical response to Mercer’s treatment of internal validity of IQ tests. In C. R. Reynolds and R. T. Brown (Eds.), Perspectives on bias in mental testing. New York: Plenum Press.

    Google Scholar 

  • Guilford, J. P. (1954). Psychometric methods ( 2nd ed. ). New York: McGraw-Hill.

    Google Scholar 

  • Guilmette, T. J., and Rasile, D. (1995). Sensitivity, specificity, and diagnostic accuracy of three verbal memory measures in the assessment of mild brain injury. Neuropsychology; 9, 338–344.

    Article  Google Scholar 

  • Gutkin, T. B., and Reynolds, C. R. (1980, September). Normative data for interpreting Reitan’s index of Wechsler subtest scatter. Paper presented to the annual meeting of the American Psychological Association, Montreal.

    Google Scholar 

  • Haak, R. (1989). Establishing neuropsychology in a school setting: Organization, problems, and benefits, In C. R. Reynolds and E. Fletcher-Janzen (Eds.), Handbook of clinical child neuropsychology (pp. 489–502 ). New York: Plenum Press.

    Google Scholar 

  • Helms, J. E. (1992). Why is there no study of cultural equivalence in standardized cognitive ability testing? American Psychology, 47, 1083–1101.

    Article  Google Scholar 

  • Hynd, G. (Ed.). (1981). Neuropsychology in schools. School Psychology Review, 10(3).

    Google Scholar 

  • Ivnik, R. J., Smith, G. E., Malec, J. F., Kokmen, E., and Tangelos, E. G. (1994). Mayo cognitive factor scales: Distinguishing normal and clinical samples by profile variability. Neuro-psychology, 8, 203–209.

    Google Scholar 

  • Jastak, J. F., and Jastak, S. (1978). Wide Range Achievement Test. Wilmington, DE: Jastak. Kaufman, A. S. (1976a). A new approach to the interpretation of test scatter on the WISC-R. Journal of Learning Disabilities, 9, 160–167.

    Google Scholar 

  • Kaufman, A. S. (I 976b). Verbal-performance IQ discrepancies on the WISC-R. Journal of Learning Disabilities,9, 739–744. Kaufman, A. S. (1979). Intelligence testing with the WISC-R. New York: Wiley-Interscience.

    Google Scholar 

  • Kaufman, A. S. (1990). Assessing adolescent and adult intelligence. Boston: Allyn and Bacon.

    Google Scholar 

  • Kaufman, A. S., and Kaufman, N. L. (1983). Kaufman Assessment Battery for Children: Interpretive manual. Circle Pines, MN: American Guidance Service.

    Google Scholar 

  • Kaufman, A. S., McLean, J. E., and Reynolds, C. R. (1988). Sex, race, residence, region, and education differences on the 11 WAIS-R subtests. Journal of Clinical Psychology, 44, 231–248.

    Article  PubMed  Google Scholar 

  • Lord, F. M., and Novick, M. R. (1968). Statistical theories of mental tests. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Malloy, P. E, and Webster, J. S. (1981). Detecting mild brain impairment using the Luria-Nebraska Neuropsychological Battery. Journal of Consulting and Clinical Psychology, 49, 768–770.

    Article  PubMed  Google Scholar 

  • Matarazzo, J. D. (1972). Wechsler’s measurement and appraisal of adult intelligence. Baltimore: Williams and Wilkins. Mayfield, J. W., and Reynolds, C. R. (1995a). Factor structure of the Test of Memory and Learning for blacks and for whites. Paper presented to the annual meeting of the National Association of School Psychologists, Chicago.

    Google Scholar 

  • Mayfield, J. W., and Reynolds, C. R. (1995b). Black-white differences in performance on measures of memory and learn-ing. Paper presented to the annual meeting of the National Academy of Neuropsychology, San Francisco.

    Google Scholar 

  • Miles, J., and Stelmack, R. (1994). Learning disability subtypes and the effects of auditory and visual priming on visual event-related potentials to words. Journal of Clinical and Experimental Neuropsychology, 16, 43–64.

    Article  PubMed  Google Scholar 

  • Nesselroade, J., and Cattell, R. B. (1988). Handbook of multivariate experimental psychology (2nd ed.). New York: Plenum Press. Nunnally, J. C. (1978). Psychometric theory ( 2nd ed. ). New York: McGraw-Hill.

    Google Scholar 

  • Osgood, C. E., and Suci, G. J. (1952). A measurement of relation determined by both mean differences and profile interpretation. Psychological Bulletin, 49, 251–262.

    Article  PubMed  Google Scholar 

  • Parsons, O. A., and Prigatano, G. P. (1978). Methodological considerations in clinical neuropsychological research. Journal of Consulting and Clinical Psychology; 46, 608–619.

    Article  Google Scholar 

  • Pedhazur, E. J., and Schmelkin, L. P. (1991). Measurement, design, and analysis. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Petersen, N. S., Kolen, M. J., and Hoover, H. D. (1989). Scaling, norming, and equating. In R. Linn (Ed.), Educational measurement, 3rd ed. (pp. 221–262 ). New York: MacMillan.

    Google Scholar 

  • Piotrowski, R. J. (1978). Abnormality of subtest score differences on the WISC-R. Journal of Consulting and Clinical Psychology, 46, 569–570.

    Article  Google Scholar 

  • Plake, B. S., Reynolds, C. R., and Gutkin, T. B. (1981). Atechnique for the comparison of profile variability between independent groups. Journal of Clinical Psychology, 37, 142–146.

    Article  Google Scholar 

  • Purisch, A. D., Golden, C. J., and Hammeke, T. A. (1979). Discrimination of schizophrenic and brain injured patients by standardized version of Luria’s neuropsychological tests. Clinical Neuropsychology, 1, 53–59.

    Google Scholar 

  • Reschly, D., and Gresham, F. M. (1989). Current neuropsychological diagnosis of learning problems: A leap of faith. In C. R. Reynolds, Sc. E. Fletcher-Janzen (Eds.), Handbook of clinical child neuropsychology (pp. 503–520 ). New York: Plenum Press.

    Google Scholar 

  • Reynolds, C. R. (1979a). Interpreting the index of abnormality when the distribution of score differences is known: Comment on Piotrowski. Journal of Consulting and Clinical Psychology, 47, 401–402.

    Article  PubMed  Google Scholar 

  • Reynolds, C. R. (1979b). Objectivity of scoring for the McCarthy Drawing Tests. Psychology in the Schools, 16, 367–368.

    Article  Google Scholar 

  • Reynolds, C. R. (1981a). The problem of bias in psychological assessment. In C. R. Reynolds and T. B. Gutkin (Eds.), The handbook of school psychology. New York: Wiley.

    Google Scholar 

  • Reynolds, C. R. (1981b). Screening tests: Problems and promises. In N. Lamberts (Ed.), Special Education Assessment Matrix. Monterey, CA: CTB McGraw Hill.

    Google Scholar 

  • Reynolds, C. R. (1982a). The importance of norms and other traditional psychometric concepts to assessment in clinical neuropsychology. In R. N. Malathesha and L. C. Hartlage (Eds.), Neuropsychology and cognition (Vol. II, pp. 55–76 ). The Hague: Nijhoff.

    Google Scholar 

  • Reynolds, C. R. (1982b). The problem of bias in psychological assessment. In C. R. Reynolds and T. B. Gutkin (Eds.), The handbookofschoolpsychology (pp. 178–208 ). New York: Wiley.

    Google Scholar 

  • Reynolds, C. R. (1983). Some new and some unusual educational and psychological tests. School Psychology Review, 12, 481–488.

    Google Scholar 

  • Reynolds, C. R. (1984). Critical measurement issues in learning disabilities. Journal of Special Education, 18, 451–476.

    Article  Google Scholar 

  • Reynolds, C. R. (1986). Clinical acumen but psychometric naivete in neuropsychological assessment of educational disorders. Archives of Clinical Neuropsychology, 1, 121–138.

    PubMed  Google Scholar 

  • Reynolds, C. R. (1995). Test bias and the assessment of personality and intelligence. In D. Saklofske and M. Zeidner (Eds.), International handbook of personality and intelligence, (pp. 545–573 ). New York: Plenum Press.

    Chapter  Google Scholar 

  • Reynolds, C. R., and Bigler, E. D. (1994). Manual for the Test of Memory and Learning. Austin, TX: PRO-ED.

    Google Scholar 

  • Reynolds, C. R., Chastain, R., Kaufman, A. S., and McLean, J. (1987). Demographic influences on adult intelligence at ages 16 to 74 years. Journal of School Psychology, 25, 323–342.

    Article  Google Scholar 

  • Reynolds, C. R., and Clark, J. H. (1985). Profile analysis of standardized intelligence test performance of very low functioning individuals. Journal of School Psychology, 23, 227–283.

    Google Scholar 

  • Reynolds, C. R., and Clark, J. H. (1986). Profile analysis of standardized intelligence test performance of very low functioning individuals. Psychology in the Schools, 23, 5–12.

    Article  Google Scholar 

  • Reynolds, C. R., and Gutkin, T. B. (1979). Predicting the premorbid intellectual status of children using demographic data. Clinical Neuropsychology, 1, 36–38.

    Google Scholar 

  • Reynolds, C. R., and Gutkin, T. B. (1980). Statistics related to profile interpretation of the Peabody Individual Achievement Test. Psychology in the Schools, 17, 316–319.

    Article  Google Scholar 

  • Reynolds, C. R., Hartlage, L. C., and Haak, R. ( 1980, September). Lateral preference as determined by neuropsychological performance and aptitude/achievement discrepancies. Pa-per presented to the annual meeting of the American Psychological Association, Montreal.

    Google Scholar 

  • Reynolds, C. R., and Kaiser, S. M. (1990). Test bias in psychological assessment. In T. B. Gutkin and C. R. Reynolds (Eds.), The handbook of school psychology (2nd ed., pp. 487–525). New York: Wiley.

    Google Scholar 

  • Reynolds, C. R., and Kaufman, A. S. (1986). Clinical assessment of children’s intelligence with the Wechsler Scales. In B. Wolman (Ed.), Handbook of intelligence (pp. 601–662 ), New York: Wiley.

    Google Scholar 

  • Reynolds, C. R., and Willson, V. L. (1983, January). Standardized grade equivalents: Really! No. Well, sort of but they lead to the valley of the shadow of misinterpretation and confu-sion. Paper presented to the annual meeting of the South-western Educational Research Association, Houston.

    Google Scholar 

  • Ris, M. D., and Noll, R. B. (1994). Long-term neurobehavioral outcome in pediatric brain tumor patients: Review and methodological critique. Journal of Clinical and Experimental Neuropsychology, 16, 21.

    Article  PubMed  Google Scholar 

  • Roffe, M. W., and Bryant, C. K. (1979). How reliable are MSCA profile interpretations? Psychology in the Schools, 16, 14–18.

    Article  Google Scholar 

  • Rourke, B. P. (1975). Brain-behavior relationships in children with learning disabilities: A research program. American Psychologist, 30, 911–920.

    Article  PubMed  Google Scholar 

  • Sandoval, J. (1981, August). Can neuropsychology contribute to rehabilitation in educational settings? No. Paper presented to the annual meeting of the American Psychological Association, Los Angeles.

    Google Scholar 

  • Sattler, J. M. (1974). Assessment of children’s intelligence. Philadelphia: Saunders.

    Google Scholar 

  • Satz, P., Taylor, H. G., Friel, J., and Fletcher, J. (1978). Some developmental and predictive precursors of reading disabilities: A six year follow-up. In A. L. Benton and D. Pearl (Eds.), Dyslexia: An appraisal of current knowledge. London: Oxford University Press.

    Google Scholar 

  • Selz, M., and Reitan, R. M. (1979). Rules for neuropsychological diagnosis: Classification of brain function in older chil-dren. Journal of Consulting and Clinical Psychology, 47, 258–264.

    Article  PubMed  Google Scholar 

  • Tabachnick, B. G. (1979). Test scatter on the WISC-R. Journal of Learning Disabilities, 12, 60–62.

    Article  Google Scholar 

  • Taylor, R. L., and Imivey, J. K. (1980). Diagnostic use of the WISC-R and McCarthy Scales: A regression analysis approach to learning disabilities. Psychology in the Schools, 17, 327–330.

    Article  Google Scholar 

  • Thienemann, M., and Koran, L. M. (1995). Do soft signs predict treatment outcome in obsessive-compulsive disorder?

    Google Scholar 

  • Journal of Neuropsychiatry and Clinical Neurosciences,7, 218–222.

    Google Scholar 

  • Thompson, R. J. (1980). The diagnostic utility of WISC-R measures with children referred to a developmental evaluation center. Journal of Consulting and Clinical Psychology, 48, 440–447.

    Google Scholar 

  • Thorndike, R. L., and Hagen E. P. (1977). Measurement and evaluation in psychology and education ( 4th ed. ). New York: Wiley.

    Google Scholar 

  • U. S. Office of Education. (1976). Education of handicapped children: Assistance to state: Proposed rulemaking. Federal Register; 41, 52404–52407.

    Google Scholar 

  • Wallbrown, F. H., Vance, H., and Pritchard, K. K. (1979). Discriminating between attitudes expressed by normal and disabled readers. Psychology in the Schools, 4, 472–477.

    Article  Google Scholar 

  • Wechsler, D. (1974). Wechsler Intelligence Scale for Children-Revised. New York: Psychological Corporation.

    Google Scholar 

  • Wherry, R. J., Sr. (1932). A new formula for predicting the shrinkage of the coefficient for multiple correlation. Annals of Mathematical Statistics, 2, 404–457.

    Google Scholar 

  • Willson, V. L., and Reynolds, C. R. (1982). Methodological and statistical problems in determining membership in clinical populations. Clinical Neuropsychology, 4, 134–138.

    Google Scholar 

  • Wright, L., Schaefer, A. B., and Solomons, G. (1979). Encyclopedia of pediatric psychology. Baltimore: University Park Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer Science+Business Media New York

About this chapter

Cite this chapter

Reynolds, C.R. (1997). Measurement and Statistical Problems in Neuropsychological Assessment of Children. In: Reynolds, C.R., Fletcher-Janzen, E. (eds) Handbook of Clinical Child Neuropsychology. Critical Issues in Neuropsychology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5351-6_9

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-5351-6_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-5353-0

  • Online ISBN: 978-1-4757-5351-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics