Skip to main content

Models of Inference in Evaluating Brain-Behavior Relationships in Children

  • Chapter
Handbook of Clinical Child Neuropsychology

Neuropsychologists generally measure behavior as a means for making inferences about brain function. Regardless of whether such measurement takes place in the clinic or the laboratory, the basic process is the same: Behavioral and cognitive performances that are readily observable “stand in,” as it were, for the less observable “brain states” they are thought to reflect.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  • Adams, R. D., & Victor, M. (1977). Principles of neurology. New York: McGraw-Hill.

    Google Scholar 

  • Adams, W., & Shaslow, D. (2003). Wide Range Assessment of Memory and Learning—2. San Antonio, Texas: Harcourt Assessment, Incorporated.

    Google Scholar 

  • Bakker, D. J. (1984). The brain as a dependent variable. Journal of Clinical Neuropsychology, 6, 1-16.

    Article  PubMed  Google Scholar 

  • Barkley, R. A. (1994). The assessment of attention in children. In G. R. Lyon (Ed.), Frames of reference for the assessment of learning disabilities (pp. 69-102). Baltimore: Paul H. Brookes.

    Google Scholar 

  • Baron, I.S. (2004). The Neuropsychological Examination of the Child. New York: Oxford University Press

    Google Scholar 

  • Baron, I. S., Fennell, E. B., & Voeller, K. J. K. (1995). Pediatric neuropsychology in a medical setting. London: Oxford University Press.

    Google Scholar 

  • Bauer, R. M. (1994). The flexible battery approach to neuropsychological assessment. In R. Vanderploeg (Ed.), Clinician's guide to neuropsychological assessment (pp. 259-290). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Berg, R. A., & Linton, J. C. (1989). Neuropsychological sequelae of chronic medical disorders. In C. R. Reynolds, & E. Fletcher-Janzen (Eds.), Handbook of clinical child neuropsychology (pp. 107-127). New York: Plenum Press.

    Google Scholar 

  • Boll, T. J. (1983). Neuropsychological assessment of the child: Myths, current status, and future prospects. In C. E. Walker, & M. C. Roberts (Eds.), Handbook of clinical child psychology (pp. 186-208). New York: Wiley-Interscience.

    Google Scholar 

  • Boll, T. J., & Barth, J. (1981). Neuropsychology of brain damage in children. In S. B. Filskov, & T. J. Boll (Eds.), Handbook of clinical neuropsychology (Vol. I, pp. 418-452). New York: Wiley-Interscience.

    Google Scholar 

  • Bolter, J. F., & Long, C. J. (1985). Methodological issues in research in developmental neuropsychology. In L. C. Hartlage, & C. F. Telzrow (Eds.), The neuropsychology of individual differences (pp. 42-59). New York: Plenum Press.

    Google Scholar 

  • Bornstein, R. A., King, G., & Carroll, A. (1983). Neuropsychological deficits in Gilles de la Tourette's syndrome. Journal of Nervous and Mental Diseases, 17, 497-502.

    Google Scholar 

  • Brunswick, E. (1956). Perception and the representative design of psychological experiments. Berkeley: University of California Press.

    Google Scholar 

  • Chadwick, O., & Rutter, M. (1983). Neuropsychological assessment. In M. Rutter (Ed.), Developmental neuropsychiatry (pp. 181-212). New York: Guilford Press.

    Google Scholar 

  • Christensen, A. L. (1975). Luria's neuropsychological investigation. New York: Spectrum.

    Google Scholar 

  • Clark, C. M. (1984). Statistical models and their application in clinical neuropsychological research and practice. In S. B. Filskov, & T. J. Boll (Eds.), Handbook of clinical neuropsychology (Vol. II, pp. 577-605). New York: Wiley-Interscience.

    Google Scholar 

  • Constantinou, M. & McCaffrey, R.J. (2003). Using the TOMM for evaluating Children’s effort to perform optimally on Neuropsychoological measures. Child Neuropsychology, 9, 81-90.

    PubMed  Google Scholar 

  • Cronbach, L. J., Rajaratnam, N., & Gleser, G. C. (1963). Theory of generalizability: A liberalization of reliability theory. British Journal of Statistical Psychology, 16, 137-163.

    Google Scholar 

  • Damasio, A. R., & Maurer, R. G. (1978). A neurological model for childhood autism. Archives of Neurology, 35, 777-786.

    PubMed  Google Scholar 

  • Dean, R. S. (1986). Foundation and rationale for neuropsychological bases of individual differences. In L. C. Hartlage, & C. F. Telzrow (Eds.), The neuropsychology of individual differences (pp. 8-39). New York: Plenum Press.

    Google Scholar 

  • Delis, D.C., Kaplan, E. & Kramer, J.H. (2001). Delis-Kaplan Executive Function System. San Antonio, Texas: Harcourt Assessment, Incorporated.

    Google Scholar 

  • Denckla, M. B. (1979). Childhood learning disabilities. In K. Heilman, & E. Valenstein (Eds.), Clinical neuropsychology (pp. 535-573). London: Oxford University

    Google Scholar 

  • Donders, J. (2005). Performance on the Test of Memory Malingering in a mixed pediatric sample. Child Neuropsychology, 11, 221-227.

    Article  PubMed  Google Scholar 

  • Fennell, E. B. (1994). Issues in child neuropsychological assessment. In R. Vanderploeg (Ed.), Clinician's guide to neuropsychological assessment (pp. 165-184). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Fletcher, J. M., & Taylor, H. G. (1984). Neuropsychological approaches to children: Towards a developmental neuropsychology. Journal of Clinical Neuropsychology, 6, 39-56.

    Article  PubMed  Google Scholar 

  • Freides, D. (1985). Desirable features in neuropsychological tests. Journal of Psychopathology and Behavioral Assessment, 7(4), 351-364.

    Article  Google Scholar 

  • Golden, C. J. (1989). The Nebraska Neuropsychological Children's Battery. In C. R. Reynolds, & E. Fletcher-Janzen (Eds.), Handbook of clinical child neuropsychology (pp. 193-204). New York: Plenum Press.

    Google Scholar 

  • Goodglass, H. (1986). The flexible battery in neuropsychological assessment. In T. Incagnoli, G. Goldstein, & C. J. Golden (Eds.), Clinical application of neuropsychological test batteries (pp. 121-134). New York: Plenum Press.

    Google Scholar 

  • Hammond, K. R., Hursch, C. J., & Todd, F. J. (1964). Analyzing the components of clinical inference. Psychological Review, 71, 438-456.

    Article  PubMed  Google Scholar 

  • Hartlage, L. C., & Telzrow, C. F. (1986). Neuropsychological assessment and intervention with children and adolescents. Sarasota, FL: Professional Resource Exchange.

    Google Scholar 

  • Heilman K., & Valenstein, D. (1993). Clinical neuropsychology (3rd ed.). London: Oxford University Press.

    Google Scholar 

  • Holt, R. R. (1968). Editor's foreword. In D. Rapaport, M. M. Gill, & R. Schafer, Diagnostic psychological testing. New York: International Universities Press.

    Google Scholar 

  • Hursch, C. J., Hammond, K. R., & Hursch, J. L. (1964). Some methodological considerations in multiple-cue probability studies. Psychological Review, 71, 42-60.

    Article  PubMed  Google Scholar 

  • Hynd, G. W., Obrzut, J. E., Hayes, F., & Becker, M. G. (1986). Neuropsychology of childhood learning disabilities. In D. Wedding, A. M. Horton, & J. Webster (Eds.), The neuropsychology handbook: Behavioral and clinical perspectives (pp. 456-485). Berlin: Springer.

    Google Scholar 

  • Incagnoli, T., Goldstein, G., & Golden, C. J. (Eds.). (1986). Clinical application of neuropsychological test batteries. New York: Plenum Press.

    Google Scholar 

  • Ivinskis, A., Allen, S., & Shaw, E. (1971). An extension of Wechsler Memory Scale norms to lower age groups. Journal of Clinical Psychology, 26, 354-357.

    Article  Google Scholar 

  • Kail, R. (1984). The development of memory in children. San Francisco: Freeman.

    Google Scholar 

  • Kinsbourne, M., & Warrington, E. K. (1963). The developmental Gerstmann syndrome. Archives of Neurology, 8, 490-501.

    PubMed  Google Scholar 

  • Landy, F. J. (1986). Stamp collecting versus science: Validation as hypothesis testing. American Psychologist, 41, 1183-1192.

    Article  Google Scholar 

  • Lezak, M. D. (1995). Neuropsychological assessment (3rd ed.). London: University Press.

    Google Scholar 

  • Luria, A. R. (1973). The working brain. New York: Basic Books.

    Google Scholar 

  • Lyon, G. R. (Ed.). (1994). Frames of reference for the assessment of learning disabilities. Baltimore: Paul H. Brookes.

    Google Scholar 

  • Maurer, R. G., & Damasio, A. R. (1982). Childhood autism from the point of view of behavioral neurology. Journal of Autism and Developmental Disorders, 12, 211-221.

    Article  Google Scholar 

  • Meehl, P. E. (1957). When shall we use our heads instead of the formula? Journal of Counseling Psychology, 4, 268-273.

    Article  Google Scholar 

  • Meehl, P. E. (1960). The cognitive activity of the clinician. American Psychologist, 15, 19-27.

    Article  Google Scholar 

  • Menkes, J. H. (1990). Textbook of child neurology (4th ed.). Philadelphia: Lea & Febinger.

    Google Scholar 

  • Morris, R., Blashfield, R., & Satz. P. (1986). Developmental classification of reading-disabled children. Journal of Experimental and Clinical Neuropsychology, 8, 371-392.

    Article  Google Scholar 

  • Netley, C., & Rovet, J. (1983). Relationships among brain organization, maturation rate, and the development of verbal and nonverbal ability. In S. Segalowitz (Ed.), Language functions and brain organization (pp. 245-266). New York: Academic Press.

    Google Scholar 

  • Pirozzolo, F. J., Campanella, D. J., Christensen, K., & Lawson-Kerr, K. (1981). Effects of cerebral dysfunction on neurolinguistic performance in children. Journal of Consulting and Clinical Psychology, 49(6), 791-806.

    Article  PubMed  Google Scholar 

  • Platt, J. R. (1964). Strong inference. Science, 146, 347-353.

    Article  PubMed  Google Scholar 

  • Popper, K. R. (1959). The logic of scientific discovery. New York: Harper.

    Google Scholar 

  • Rasmussen, T., & Milner, B. (1977). The role of early left-brain injury in determining lateralization of cerebral speed functions. Annals of the New York Academy of Sciences, 299, 355-369.

    Article  PubMed  Google Scholar 

  • Reitan, R. M., & Davison, L. A. (1974). Clinical neuropsychology: Current status and applications. Washington, DC: Winston.

    Google Scholar 

  • Reynolds, C. R. (1989). Measurement and statistical problems in neuropsychological assessment of children. In C. R. Reynolds, & E. Fletcher-Janzen (Eds.), Handbook of clinical child neuropsychology (pp. 147-166). New York: Plenum Press.

    Google Scholar 

  • Reynolds, C. R., & Fletcher-Janzen, E. (Eds.). (1989). Handbook of clinical child neuropsychology. New York: Plenum Press.

    Google Scholar 

  • Ross, D. M., & Ross, S. A. (1992). Hyperactivity: Current issues, research and theory (2 nd ed.). New York: Wiley-Interscience.

    Google Scholar 

  • Rourke, B. P. (1983). Reading and spelling disabilities: A developmental neuropsychological perspective. In U. Kirk (Ed.), Neuropsychology of language, reading, and spelling (pp. 209-234). New York: Academic Press.

    Google Scholar 

  • Rourke, B. P. (1995). Syndrome of nonverbal learning disabilities. New York: Guilford Press.

    Google Scholar 

  • Rourke, B. P., & Adams, K. M. (1984). Quantitative approaches to the neuropsychological assessment of children. In R. M. Tarter, & G. Goldstein (Eds.), Advances in clinical neuropsychology (Vol. 2, pp. 79-108). New York: Plenum Press.

    Google Scholar 

  • Rourke, B. P., Bakker, D. J., Fisk, J. L., & Strang, J. D. (1983). Child neuropsychology: An introduction to theory, research and clinical practice. New York: Guilford Press.

    Google Scholar 

  • Rourke, B. P., Fisk, J. L., & Strang, J. D. (1986). Neuropsychological assessment of children: A treatment oriented approach. New York: Guilford Press.

    Google Scholar 

  • Rutter, M. (Ed.). (1983). Developmental neuropsychiatry. New York: Guilford Press.

    Google Scholar 

  • Satz, P., & Fletcher, J. M. (1980). Minimal brain dysfunction: An appraisal of research concepts and methods. In H. E. Rie, & E. D. Rie (Eds.), Handbook of minimal brain dysfunction: A critical review (pp. 669-714). New York: Wiley.

    Google Scholar 

  • Satz, P., & Morris, R. (1981). Learning disability subtypes: A review. In F. J. Pirozzolo, & M. Wittrock (Eds.), Neuropsychological and cognitive process in reading (pp. 109-141). New York: Academic Press.

    Google Scholar 

  • Segalowitz, S. (Ed.). (1983). Language functions and brain organization. New York: Academic Press.

    Google Scholar 

  • Segalowitz, S. J., & Gruber, F. A. (Eds.). (1977). Language development and neurological theory. New York: Academic Press.

    Google Scholar 

  • Shafer, S. Q., Shaffer, D., O'Connor, P. A., & Stokman, C. J. (1983). Hard thoughts on neurological soft signs. In M. Rutter (Ed.), Developmental neuropsychiatry (pp. 133-143). New York: Guilford Press.

    Google Scholar 

  • Shaffer, D., O'Connor, P. A., Shafer, S. Q., & Prupis, S. (1983). Neurologic “soft signs”: Their origins and significance for behavior. In M. Rutter (Ed.), Developmental neuropsychiatry (pp. 144-163). New York: Guilford Press.

    Google Scholar 

  • Sparrow, S., & Cicchetti, D.V. (2006). Vineland Adaptive Abilities Scales-II. Minneapolis, Minnesota: Pearson Assessments

    Google Scholar 

  • Spellacy, F., & Peter, B. (1978). Dyscalculia and elements of the developmental Gerstmann syndrome in school children. Cortex, 14, 197-208.

    PubMed  Google Scholar 

  • Spreen, O., Risser, A. T., & Edgell, D. (1995). Developmental neuropsychology. New York: Oxford.

    Google Scholar 

  • Stein, D. G., Rosen, J. F., & Butters, N. (Eds.). (1974). Plasticity and recovery of function in the central nervous system. New York: Academic Press.

    Google Scholar 

  • Tarter, R. E., & Edwards, K. L. (1986). Neuropsychological batteries. In T. Incagnoli, G. Goldstein, & C. J. Golden (Eds.), Clinical application of neuropsychological test batteries (pp. 135-153). New York: Plenum Press.

    Google Scholar 

  • Taylor, H. G., & Fletcher, J. M. (1990). Neuropsychological assessments of children. In G. Goldstein, & M. Hersen (Eds.), Handbook of psychological assessment (pp. 228-255). New York: Pergamon Press.

    Google Scholar 

  • Taylor, H. G., & Schatschneider, C. (1992). Child neuropsychological assessment: A test of basic assumptions. The Clinical Neuropsychologist, 6, 259-275.

    Article  Google Scholar 

  • Tramontana, M. G., & Hooper, S. R. (1987). Discriminating the presence and pattern of neuropsychological impairment in child psychiatric disorders. International Journal of Clinical Neuropsychology, 9, 111-119.

    Google Scholar 

  • Tramontana, M. G., & Hooper, S. R. (1989). Neuropsychology of child psychopathology: In C. R. Reynolds, & E. Fletcher-Janzen (Eds.), Handbook of clinical child neuropsychology (pp. 87-106). New York: Plenum Press.

    Google Scholar 

  • Van der Vlugt, H. (1979). Aspects of normal and abnormal neuropsychological development. In M. S. Gazzaniga (Ed.), Handook of behavioral neurobiology (Vol. 2, pp. 99-117). New York: Plenum Press.

    Google Scholar 

  • van Santen, J. P. H., Black, L. M., Wilson, B. C., & Risucci, D. A. (1994). Modeling clinical judgment: A reanalysis of data from Wilson and Risucci's paper “A model for clinical-qualitative classification: Generation I: Application to language-disordered preschool children.” Brain and Language, 46, 469-481.

    Google Scholar 

  • Waber, D. P., & Holmes, J. M. (1985). Assessing children's copy of productions of the Rey-Osterrieth complex figure. Journal of Clinical and Experimental Psychology, 7, 264-280.

    Google Scholar 

  • Wechsler, D. (1999). Wechsler Abbreviated Scale of Intelligence. San Antonio, Texas: Harcourt Assessments, Incorporated

    Google Scholar 

  • Wiggins, J. S. (1973). Personality and prediction: Principles of personality assessment. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Witelson, S. F. (1977). Early hemisphere specialization and interhemisphere plasticity: An empirical and theoretical review. In S. Segalowitz, & F. A. Gruber (Eds.), Language development and neurological theory (pp. 213-287). New York: Academic Press.

    Google Scholar 

  • Woods, B. T., & Teuber, H. L. (1973). Early onset of complementary specialization of cerebral hemispheres in man. Transactions of the American Neurological Association, 98, 113-117.

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Fennell, E.B., Bauer, R.M. (2009). Models of Inference in Evaluating Brain-Behavior Relationships in Children. In: Reynolds, C.R., Fletcher-Janzen, E. (eds) Handbook of Clinical Child Neuropsychology. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78867-8_10

Download citation

Publish with us

Policies and ethics