Using the Planning, Attention, Simultaneous, Successive (PASS) Theory Within a Neuropsychological Context

  • Jack A. Naglieri
  • Cara Conway
  • Sam Goldstein

Neuropsychologists evaluate brain function by interpreting an individual’s cognitive, emotional, social, and motor behavior.


Reading Comprehension Functional Unit Reading Disability Successive Processing Speech Rate 
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  1. Ashman, A. F., & Conway, R. N. F. (1997). An introduction to cognitive education: Theory and applications. London: Routledge.Google Scholar
  2. Barkley, R. A. (1997). ADHD and the nature of self-control. New York: Guilford.Google Scholar
  3. Barkley, R. A. (1998). Attention-deficit hyperactivity disorder: A handbook for diagnosis and treatment (2 nd ed). New York, NY: The Gilford Press.Google Scholar
  4. Boden, C., & Kirby, J. R. (1995). Successive processing ,phonological coding and the remediation of reading. Journal of Cognitive Education, 4, 19-31.Google Scholar
  5. Bradley, L., & Bryant, P. (1985). Rhyme and reason in reading and spelling. Ann Arbor, MI: The University of Michigan Press.Google Scholar
  6. Brailsford, A., Snart, F., & Das, J. P. (1984). Strategy training and reading comprehension. Journal of Learning Disabilities, 17(5), 287-290.CrossRefPubMedGoogle Scholar
  7. Brody, N. (1992). Intelligence. San Diego: Academic Press.Google Scholar
  8. Carlson, J., & Das, J. P. (1997). A process approach to remediating word decoding deficiencies in Chapter 1 children. Learning Disabilities Quarterly, 20, 93-102.CrossRefGoogle Scholar
  9. Cohen, R. J., Swerdlik, M. E., & Smith, D. K. (1992). Psychological testing and assessment. Mountain View, CA: Mayfield Publishing.Google Scholar
  10. Cormier, P., Carlson, J. S., & Das, J. P. (1990). Planning ability and cognitive performance: The compensatory effects of a dynamic assessment approach. Learning and Individual Differences, 2, 437-449.CrossRefGoogle Scholar
  11. Das, J. P. (1972). Patterns of cognitive ability in nonretarded and retarded children. American Journal of Mental Deficiency, 77, 6-12.PubMedGoogle Scholar
  12. Das, J. P. (1980). Planning: Theoretical considerations and empirical evidence. Psychological Research (W. Germany), 41, 141-151.Google Scholar
  13. Das, J. P. (1999). PASS reading enhancement program. Deal, NJ: Sarka Educational Resources.Google Scholar
  14. Das, J. P. (2001) Reading difficulties and dyslexia. Deal, N.J.: Sarka.Google Scholar
  15. Das. J. P., Kar, B. C., & Parrila, R. K. (1996). Cognitive planning: The psychological basis of intelligent behavior. Thousand Oaks, CA: Sage Publications.Google Scholar
  16. Das, J. P., Kirby, J. R., & Jarman R. F. (1975). Simultaneous and successive syntheses: An alternative model for cognitive abilities. Psychological Bulletin, 82,87-103.CrossRefGoogle Scholar
  17. Das, J. P., Kirby, J. R., & Jarman, R. F. (1979). Simultaneous and successive cognitive processes. New York: Academic Press.Google Scholar
  18. Das, J. P., Mishra, R. K., & Kirby, J. R. (1994). Cognitive patterns of dyslexics: Comparison between groups with high and average nonverbal intelligence. Journal of Learning Disabilities, 27(4), 235-242, 253. CrossRefPubMedGoogle Scholar
  19. Das, J. P., Mishra, R. K., & Pool, J. E. (1995). An experiment on cognitive remediation or word-reading difficulty. Journal of Learning Disabilities, 28, 66-79.CrossRefPubMedGoogle Scholar
  20. Das, J. P., Naglieri, J. A., & Kirby, J. R. (1994). Assessment of Cognitive Processes. Needham Heights, MA: Allyn & Bacon.Google Scholar
  21. Das, J. P., Parrila, R. K., & Papadopoulos, T. C. (2000). Cognitive education and reading disability. In A. Kozulin, & Y. Rand (Eds.), Experience of mediated learning (pp. 276-291). Amsterdam: Pergamon.Google Scholar
  22. Davis, F. B. (1959). Interpretation of differences among averages and individual test scores. Journal of Educational Psychology, 50, 162-170.CrossRefGoogle Scholar
  23. Dehn, M. J. (2000). Cognitive Assessment System performance of ADHD children. Paper presented at the annual NASP Convention, New Orleans, LA.Google Scholar
  24. Ellison, P. A. T. (2005). School neuropsychology of attention-defiicit/hyperactivity disorder. In R. C. D’Amato, E. Fletcher-Janzen, & C. R. Reynolds (Eds.), Handbook of school neuropsychology (pp. 460-486). Hoboken, NJ: John Wiley & Sons, Inc.Google Scholar
  25. Goldberg, E. (2001). The executive brain: Frontal lobes and the civilized mind. New York: Oxford University Press.Google Scholar
  26. Haddad F. A., Garcia Y. E., Naglieri, J. A., Grimditch, M., McAndrews, A., & Eubanks, J. (2003). Planning facilitation and reading comprehension: instructional relevance of the PASS theory. Journal of Psychoeducational Assessment, 21, 282-289.CrossRefGoogle Scholar
  27. Hayes, S. C., Gifford, E. B., & Ruckstuhl, L. E. (1996). Relational frame theory and executive function: A behavioral approach. In G. R. Lyon & N. A. Krasnegor (Eds.), Attention, memory and executive function (pp. 279-306). Baltimore: Brookes.Google Scholar
  28. Iseman, J. S. (2005). A cognitive instructional approach to improving math calculation of children with ADHD: Application of the PASS theory. Unpublished doctoral dissertation, George Mason University.Google Scholar
  29. Kar, B. C., Dash, U. N., Das, J. P., & Carlson, J. S. (1992). Two experiments on the dynamic assessment of planning. Learning and Individual Differences, 5 , 13-29.CrossRefGoogle Scholar
  30. Kaufman, A. S., & Kaufman, N. L. (2004). Kaufman assessment battery for children second edition. Circle Pines, MN: American Guidance Service.Google Scholar
  31. Kaufman, D., & Kaufman, P. (1979). Strategy training and remedial techniques. Journal of Learning Disabilities, 12, 63-66.CrossRefGoogle Scholar
  32. Kirby, J. R. (1984). Cognitive Strategies and Educational Performance. New York: Academic press.Google Scholar
  33. Kirby, J. R., & Williams, N. H. (1991). Learning problems: A cognitive approach. Toronto: Kagan and Woo.Google Scholar
  34. Kolb, B., Gibb, R., & Robinson, T. E. (2003). Brain plasticity and behavior. Current Directions in Psychological Science, 12(1), 1-4.CrossRefGoogle Scholar
  35. Lezak, M. D. (1995). Neuroassessment. New York, NY: Oxford University Press.Google Scholar
  36. Krywaniuk, L. W., & Das, J. P. (1976). Cognitive strategies in native children: Analysis and intervention. Alberta Journal of Educational Research, 22, 271-280.Google Scholar
  37. Luria, A. R. (1966). Human brain and psychological processes. New York: Harper and Row.Google Scholar
  38. Luria, A. R. (1973). The working brain. New York: Basic Books.Google Scholar
  39. Luria, A. R. (1979). The making of mind: A personal account of Soviet psychology. Cambridge, MA: Harvard University Press.Google Scholar
  40. Luria, A. R. (1980). Higher cortical functions in man (2 nd Ed.). New York: Basic Books.Google Scholar
  41. Luria, A. R. (1982). Language and cognition. New York: Wiley.Google Scholar
  42. Naglieri, J. A. (1997). Naglieri nonverbal ability test. San Antonio: The Psychological Corporation.Google Scholar
  43. Naglieri, J. A. (1999). Essentials of CAS Assessment. New York: Wiley.Google Scholar
  44. Naglieri, J. A. (2000). Can profile analysis of ability test scores work? An illustration using the PASS theory and CAS with an unselected cohort. School Psychology Quarterly, 15 , 419-433. CrossRefGoogle Scholar
  45. Naglieri, J. A. (2003). Current advances in assessment and intervention for children with learning disabilities. In T. E. Scruggs, & M. A. Mastropieri (Eds.), Advances in learning and behavioral disabilities Volume 16: Identification and assessment (pp. 163-190). New York: JAI.Google Scholar
  46. Naglieri, J. A., (2005). The cognitive assessment system. In D. P. Flanagan, & P. L. Harrison (Eds.) Contemporary intellectual assessment (2 nd ed. pp. 441-460). New York: Guilford.Google Scholar
  47. Naglieri, J. A., & Bornstein, B. T. (2003). Intelligence and achievement: Just how correlated are they? Journal of Psychoeducational Assessment, 21, 244-260.CrossRefGoogle Scholar
  48. Naglieri, J. A., & Das, J. P. (1997a). Cognitive assessment system. Itasca: Riverside Publishing Company.Google Scholar
  49. Naglieri, J. A., & Das, J. P. (1997b).Cognitive assessment system interpretive handbook. Chicago: Riverside Publishing Company.Google Scholar
  50. Naglieri, J. A., & Das, J. P. (2002). Practical implications of general intelligence and PASS cognitive processes. In R. J. Sternberg & E. L. Grigorenko (Eds.), The general factor of intelligence: How general is it? (pp. 855-884). New York: Erlbaum.Google Scholar
  51. Naglieri, J. A., & Das, J. P. (2005). Planning, Attention, Simultaneous, Successive (PASS) theory: A revision of the concept of intelligence. In D. P. Flanagan, & P. L. Harrison (Eds.), Contemporary intellectual assessment (2 nd ed. pp. 136-182). New York: Guilford.Google Scholar
  52. Naglieri, J. A., & Gottling, S. H. (1995). A cognitive education approach to math instruction for the learning disabled: An individual study. Psychological Reports, 76, 1343-1354.PubMedGoogle Scholar
  53. Naglieri, J. A., & Gottling, S. H. (1997). Mathematics instruction and PASS cognitive processes: An intervention study. Journal of Learning Disabilities, 30, 513-520.CrossRefPubMedGoogle Scholar
  54. Naglieri, J. A., & Goldstein, S. (2006). The role of intellectual processes in the DSM-V diagnosis of ADHD.Journal of Attention Disorders, 10, 3-8.CrossRefPubMedGoogle Scholar
  55. Naglieri, J. A., & Johnson, D. (2000). Effectiveness of a cognitive strategy intervention to improve math calculation based on the PASS theory. Journal of Learning Disabilities, 33, 591-597.CrossRefPubMedGoogle Scholar
  56. Naglieri, J. A., & Pickering, E. (2003). Helping children learn: Instructional handouts for use in school and at home. Baltimore: Brookes.Google Scholar
  57. Naglieri, J. A., & Rojahn, J. R. (2004). Validity of the PASS theory and CAS: Correlations with achievement. Journal of Educational Psychology, 96, 174-181. CrossRefGoogle Scholar
  58. Naglieri, J. A., Goldstein, S., Iseman, J. S., & Schwebach, A. (2003). Performance of children with Attention Deficit Hyperactivity Disorder and Anxiety/Depression on the WISC-III and Cognitive Assessment System (CAS). Journal of Psychoeducational Assessment, 21, 32-42.CrossRefGoogle Scholar
  59. Naglieri, J. A., Salter, C. J., & Edwards, G. (2004). Assessment of ADHD and reading disabilities using the PASS theory and Cognitive Assessment System. Journal of Psychoeducational Assessment, 22, 93-105.CrossRefGoogle Scholar
  60. Naglieri, J. A., Rojahn, J. R., Matto, H. C., & Aquilino, S. A. (2005). Black white differences in intelligence: A study of the PASS theory and Cognitive Assessment System. Journal of Psychoeducational Assessment, 23, 146-160.CrossRefGoogle Scholar
  61. Naglieri, J. A., Goldstein, S., Delauder, B. Y., & Schwebach, A. (2006). WISC-III and CAS: Which Correlates Higher with Achievement for a Clinical Sample? School Psychology Quarterly, 21, 62-76.Google Scholar
  62. Naglieri, J. A., Rojahn, J. & Matto, H. (2007). Hispanic and Non-Hispanic Children’s Performance on PASS Cognitive Processes and Achievement. Intelligence, 35, 568-579.Google Scholar
  63. O’Shanick, G. J., & O’Shanick, A. M. (1994). Personality and intellectual changes. In J. M. Silver, S. C. Yudofsky, & R. E. Hales (Eds.), Neuropsychiatry of traumatic brain injury (pp. 163-188). Washington, DC: American Psychiatric Press.Google Scholar
  64. Paolitto, A. W. (1999). Clinical validation of the Cognitive Assessment System with children with ADHD. ADHD Report, 7, 1-5.Google Scholar
  65. Parrila, R. K., Das, J. P., Kendrick, M., Papadopoulos, T., & Kirby, J. (1999). Efficacy of a cognitive reading remediation program for at-risk children in Grade 1. Developmental Disabilities Bulletin, 27, 1-31.Google Scholar
  66. Penrose, L. S., & Raven, J. C.(1936). A new series of perceptual tests: Preliminary communication. British Journal of Medical Psychology, 16, 97-104.Google Scholar
  67. Posner, M. I., & Boies, S. J. (1971). Components of attention. Psychological Review, 78, 391-408.CrossRefGoogle Scholar
  68. Reynolds, C. R., & French, C. L. (2005). The brain as a dynamic organ of information processing and learning. In R. C. D’Amato, E. Fletcher-Janzen, & C. R. Reynolds (Eds.), Handbook of school neuropsychology (pp. 86-119). Hoboken, NJ: John Wiley & Sons, Inc.Google Scholar
  69. Roid, G. (2003). Stanford-binet fifth edition. Itasca, IL: Riverside.Google Scholar
  70. Schneider, W., Dumais, S. T., & Shiffrin, R. M. (1984). Automatic and controlled processing and attention. In R. Parasuraman, & D. R. Davies (Eds.), Varieties of attention (pp. 1-28) . New York: Academic Press.Google Scholar
  71. Silverstein, A. B. (1982). Pattern analysis as simultaneous statistical inference. Journal of Consulting and Clinical Psychology, 50, 234-240CrossRefGoogle Scholar
  72. Silverstein. A. B. (1993). Type I, Type II, and other types of errors in pattern analysis. Psychological Assessment, 5, 72-74.CrossRefGoogle Scholar
  73. Share, D. L., & Stanovich, K. E. (1995). Cognitive processes in early reading development: Accommodating individual differences into a model of acquisition.Issues in Education, 1, 1-57.Google Scholar
  74. Stanovich, K. E. (1988). Explaining the differences between dyslexic and the garden-variety poor reader: The phonological-core variable-difference model. Journal of Learning Disabilities, 21, 590- 604, 612.CrossRefPubMedGoogle Scholar
  75. Stuss, D. T., & Benson, D. F. (1990). The frontal lobes and language. In E. Goldberg (Ed.), Contemporary psychology and the legacy of Luria. Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar
  76. Van Luit, J. E. H., Kroesbergen, E. H., & Naglieri, J. A. (2005). Utility of the PASS theory and Cognitive Assessment System for Dutch children with and without ADHD. Journal of Learning Disabilities, 38, 434-439.CrossRefPubMedGoogle Scholar
  77. Varnhagen, C. K., & Das, J. P. (1986). Neuropsychological functioning and cognitive processing. In J. E. Obzrut, & G. W. Hynd (Eds.), Child neuropsychology, Vol. 1: Theory and research (pp. 117-140). New York: Academic Press.Google Scholar
  78. Wagner, R. K., Torgeson, J. K., & Rashotte, C. A. (1994). Development of reading-related phonological processing abilities: New evidence of bi-directional causality from a latent variable longitudinal study. Developmental Psychology, 30, 73-87.CrossRefGoogle Scholar
  79. Wechsler, D. (1991). Wechsler intelligence scale for children: Third edition. San Antonio, TX: The Psychological Corporation.Google Scholar
  80. Wechsler, D. (2003). Wechsler intelligence scale for children: Fourth edition. San Antonio, TX: The Psychological Corporation.Google Scholar
  81. Wechsler, D., & Naglieri, J. A. (2006). Wechsler nonverbal scale of ability. San Antonio, TX: Harcourt Assessment.Google Scholar
  82. Woodcock, R. W. (1987). Woodcock reading mastery tests-revised. Circle Pines, MN: American Guidance Service.Google Scholar
  83. Woodcock, R. W., & Johnson, M. B. (1989). Woodcock-Johnson revised tests of achievement: Standard and supplemental batteries. Itasca, IL: Riverside Publishing.Google Scholar
  84. Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock Johnson III test of achievement. Ithaca, IL: Riverside Publishing.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Jack A. Naglieri
    • 1
  • Cara Conway
    • 1
  • Sam Goldstein
    • 1
  1. 1.Department of School PsychologyGeorge Mason UniversityFairfax

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