Skip to main content
  • 416 Accesses

Abstract

Abnormal psychology is concerned with psychological and behavioral disorder. The medical model of abnormal psychology addresses etiology, diagnosis (including assessment), and treatment. The behavioral model of abnormal psychology described later also addresses these topics but in a substantively different manner. We consider each of these topics in the following sections. Briefly, etiology concerns the origins of disorder. Whereas the medical model looks for a pathogen of some kind, the behavioral model looks to principles of learning to find the causes of behavioral development, including both normal and abnormal outcomes. This means that abnormal behavior derives from a normal learning process but results in maladaptive outcomes. In other words, abnormal behavior is governed by the same laws of learning as normal behavior; abnormal behaviors are learned the same way as normal behaviors. Therefore, learning is the central causative process in the behavioral model. Learning implies memory, for without some way to retain what has been learned, development cannot be cumulative. Hence, learning and memory are the two primary psychological pillars upon which the behavioral model rests. It should be noted that all psychological explanations of normal and abnormal behavior, grounded in any and all psychological models, are based on learning and memory because there is no other way to implement psychological development. In other words, all psychological explanations (models) are based on an implied or explicit learning theory; they differ only in what is said to be learned and how learning is presumed to take place.1 Operant and respondent conditioning are two traditional areas of learning research upon which the behavioral model rests, and therefore we cover these areas. Considerably more attention is paid to operant conditioning because it plays a correspondingly larger role (cf. Ayllon, & McKittrick, 1982; Cohen, & Filipczak, 1971; Kazdin, 1977; Parker, 1996). We briefly consider recent developments in the field of learning called Neural Network Learning Theory (NNLT) that unifies animal and human learning from simple habit formation through complex cognitive processing, language development, and memory. Therefore, NNLT provides a comprehensive theoretical basis for learning that sets the occasion for unifying schools of behaviorism with mainstream psychology.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abramson, L. Y., Seligman, M. E. P., & Teasdale, J. D. (1978). Learned helplessness in humans: Critique and reformulation. Journal of Abnormal Psychology, 87, 49–74.

    Article  PubMed  Google Scholar 

  • American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders, 4th ed. Washington, DC: Author.

    Google Scholar 

  • Ayllon, T., & McKittrick, S. M. (1982). How to set up a token economy. Austin, TX: Pro-Ed.

    Google Scholar 

  • Bandura, A. (1977). Social learning theory. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Baldwin, J. E., & Baldwin, J. I. (1998). Behavior principles in everyday life, 3rd. ed.. Upper Saddle River, NJ: Prentice-Hall.

    Google Scholar 

  • Beck, A. T. (1963). Thinking and depression. 1. Idiosyncratic content and cognitive distortions. Archives of General Psychiatry, 9, 324–333.

    Article  PubMed  Google Scholar 

  • Beck, A. T. (1967a). Depression: Causes and treatment. Philadelphia: The University of Pennsylvania Press.

    Google Scholar 

  • Beck, A. T. (1967b). Depression: Clinical experimental, and theoretic aspects. New York: Harper.

    Google Scholar 

  • Beck, A. T. (1976). Cognitive therapy and the emotional disorders. New York: International Universities Press.

    Google Scholar 

  • Beck, A. T. (1991). Cognitive therapy: A 30-year retrospective. American Psychologist, 46, 368–375.

    Article  PubMed  Google Scholar 

  • Beck, A. T., & Emery, G. (1985). Anxiety disorders and phobias: A cognitive perspective. New York: Basic Books.

    Google Scholar 

  • Beck, A. T., Rush, A. J., Shaw, B. R, & Emery, G. (1979). Cognitive therapy of depression. New York: Guilford.

    Google Scholar 

  • Bernai, M. E., Gibson, D. M., Williams, D. E., & Pesses, D. I. (1971). A device for recording automatic audio tape recording. Journal of Applied Behavior Analysis, 4, 151–156.

    Article  Google Scholar 

  • Bijou, S.W., Peterson, R. F., & Ault, M. H. (1968). A method to integrate descriptive and experimental field studies at the level of data and empirical concepts. Journal of Applied Behavior Analysis, 1, 175–191.

    Article  PubMed  Google Scholar 

  • Blaney, P. H. (1986). Affect and memory: A review. Psychology Bulletin, 99, 229–246.

    Article  Google Scholar 

  • Bolles, R. C. (1979). Learning theory, 2nd ed. New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Bowler, P. J. (1983). The eclipse of Darwinism: Anti-Darwinian evolution theories in the decades around 1900. Baltimore: The Johns Hopkins University Press.

    Google Scholar 

  • Bush, J. P., & Ciocco, J. E. (1992). Behavioral coding and sequential analysis: The portable computer systems for observational use. Behavioral Assessment, 14, 191–197.

    Google Scholar 

  • Catania, A. C. (1978). The psychology of learning: Some lessons from the Darwinian revolution. Annals of the New York Academy of Sciences, 309, 18–28.

    Article  Google Scholar 

  • Catania, A. C. (1987). Some Darwinian lessons for behavior analysis: A review of Bowler’s The Eclipse of Darwinism. Journal of the Experimental Analysis of Behavior, 47, 249–257.

    Article  Google Scholar 

  • Churchland, P. S., & Sejnowski, T. J. (1992). The computational brain. Cambridge, MA: MIT Press.

    Google Scholar 

  • Cohen, H. L., & Filipczak, J. (1971). A new learning environment: A case for learning. Boston: Authors Cooperative.

    Google Scholar 

  • Commons, M. L., Grossberg, S., & Staddon, J. E. R. (1991). Neural network models of conditioning and action. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Dayhoff, J. (1990). Neural network architectures. New York: Van Nostrand Reinhold.

    Google Scholar 

  • DeFries, J. C, Gervais, M. C, & Thomas, E. A. (1978). Response to 30 generations of selection for open-field activity in laboratory mice. Behavior Genetics, 8, 3–13.

    Article  PubMed  Google Scholar 

  • Donahoe, J. W. (1984). Skinner—The Darwin of ontogeny? (pp. 487-488). In B. F. Skinner (1984a). Selection by consequences. The Behavioral and Brain Sciences, 7, 477–510.

    Google Scholar 

  • Donahoe, J. W. (1991). The selectionist approach to verbal behavior: Potential contributions of neuropsychology and connectionism. In L. J. Hayes & P. N. Chase (Eds.), Dialogues on verbal behavior: The first international institute on verbal relations (pp. 119–150). Reno, NV: Context Press.

    Google Scholar 

  • Donahoe, J. W., & Palmer, D. C. (1989). The interpretation of complex human behavior: Some reactions to parallel distributed processing, J. L. McClelland, D. E. Rumelhart, and the PDP research group (Eds.). Journal of the Experimental Analysis of Behavior, 51, 399–416.

    Article  Google Scholar 

  • Donahoe, J. W., & Palmer, D. C. (1994). Learning and complex behavior. Boston: Allyn and Bacon.

    Google Scholar 

  • Donegan, N. H., Gluck, M. A., & Thompson, R. F. (1989). Integrating behavioral and biological models of classical conditioning. The Psychology of Learning and Motivation, 23, 109–156.

    Article  Google Scholar 

  • Eiler, J. M., Nelson, W. W., Jensen, C. C, & Johnson, S. P. (1989). Automated data collection using bar code. Behavior Research Methods, Instruments & Computers, 21, 53–58.

    Article  Google Scholar 

  • Eisenberger, R., & Cameron, J. (1996). Detrimental effects of reward: Reality or myth? American Psychologist, 51, 1153–1166.

    Article  PubMed  Google Scholar 

  • Ellis, A. (1993). Changing rational-emotive therapy (RET) to rational-emotive behavior therapy (REBT). The Behavior Therapist, 16, 257–258.

    Google Scholar 

  • Farrell, A. D. (1986). The microcomputer as a tool for behavioral assessment. The Behavior Therapist, 1, 16–17.

    Google Scholar 

  • Feldman, J. A., & Ballard, D. H. (1982). Connectionist models and their properties. Cognitive Science, 6, 205–254.

    Article  Google Scholar 

  • Gluck, M. A., & Thompson, R. F. (1987). Modeling the neural substrates of associative learning and memory: A computational approach. Psychological Review, 94, 176–191.

    Article  PubMed  Google Scholar 

  • Grossberg, S. (1988). Neural networks and natural intelligence. Cambridge, MA: MIT Press.

    Google Scholar 

  • Grossberg, S., & Levine, D. S. (1987). Neural dynamics of attentionally modulated Pavlovian conditioning: Blocking, interstimulus interval, and secondary reinforcement. Applied Optics, 26, 5015–5030.

    Article  PubMed  Google Scholar 

  • Grossberg, S., & Schmajuk, N. A. (1987). Neural dynamics of attentionally modulated Pavlovian conditioning: Conditioned reinforcement, inhibition, and opponent processing. Psychobiology, 15, 195–240.

    Google Scholar 

  • Grossberg, S., & Schmajuk, N. A. (1989). Neural dynamics of adaptive timing and temporal discrimination during associative learning. Neural Networks, 2, 79–102.

    Article  Google Scholar 

  • Hayes, S. C, & Follette, W. C. (1992). Can functional analysis provide a substitute for syndromal classification? Behavioral Assessment, 14, 345–365.

    Google Scholar 

  • Haynes, S. N. (1992). Models of causality in psychopathology: Toward synthetic, dynamic, and nonlinear models of causality in psychopathology. New York: Allyn & Bacon.

    Google Scholar 

  • Haynes, S. N., & O’Brien, W. H. (1990). Functional analysis in behavior therapy. Clinical Psychology Review, 10, 649–668.

    Article  Google Scholar 

  • Haynes, S. N., Uchigakiuchi, P., Meyer, K., Orimoto, L., Blaine, D., & O’Brien, W. H. (1993). Functional analytic causal models and the design of treatment programs: Concepts and clinical applications with childhood behavior problems. European Journal of Psychological Assessment, 9, 189–205.

    Google Scholar 

  • Haynes, S. N., Spain, E. H., & Oliveria, J. (1993). Identifying causal relationships in clinical assessment. Psychological Assessment, 5, 281–291.

    Article  Google Scholar 

  • Hawkins, R. D. (1989). A biologically realistic neural network model for higher order features of classical conditioning. In R. G. M. Morris (Ed.), Parallel distributed processing: Implications for psychology and neurobiology (pp. 214–247). Oxford, England: Clarendon Press.

    Google Scholar 

  • Hebb, D. O. (1949). The organization of behavior. New York: Wiley.

    Google Scholar 

  • Harlow, H. F., & Suomi, S. J. (1974). Induced depression in monkeys. Behavioral Biology, 12, 273–296.

    Article  PubMed  Google Scholar 

  • Herrnstein, R. J. (1989). Darwinism and behaviourism: Parallels and intersections. In A. Grafen (Ed.), Evolution and its influence (pp. 35–61). Oxford, England: Clarendon Press.

    Google Scholar 

  • Herrnstein, R. J. (1990). Rational choice theory: Necessary but not sufficient. American Psychologist, 45, 356–367.

    Article  Google Scholar 

  • Herrnstein, R. J., & Vaughn, W., Jr. (1980). Melioration and behavioral allocation. In J. E. R. Staddon (Ed.), Limits to action: The allocation of individual behavior (pp. 143–176). New York: Academic Press.

    Google Scholar 

  • Hertz, J., Krogh, A., & Palmer, R. G. (1991). Introduction to the theory of neural computation. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Hile (1991). Hand-held behavioral observations: The observer. Behavioral Assessment, 13, 187–196.

    Article  Google Scholar 

  • Homme, L. E. (1965). Perspectives in psychology: XXIV. Control of coverants, the operants of the mind. The Psychological Record, 15, 501–511.

    Google Scholar 

  • Horner, R. H., & Storey, K. (1989). Putting behavioral units back into the stream of behavior: A consumer report. The Behavior Therapist, 12, 249–251.

    Google Scholar 

  • Hull, C. L. (1943). Principles of behavior. New York: Appleton-Century-Crofts.

    Google Scholar 

  • Iwata, B., Pace, G., Kalsher, M., Cowdery, G., & Cataldo, M. (1990). Experimental analysis and extinction of selfinjurious escape behavior. Journal of Applied Behavior Analysis, 23, 11–27.

    Article  PubMed  Google Scholar 

  • Jacob, T., Tennenbaum, D., Bargiel, K., & Seilhamer, R. A. (1995). Family interaction in the home: Development of a new coding system. Behavior Modification, 19, 147–169.

    Article  PubMed  Google Scholar 

  • Johnson, S. M., & Bolstad, O. D. (1975). Reactivity to home observation: A comparison of audio recorded behavior with observers present or absent. Journal of Applied Behavior Analysis, 8, 181–185.

    Article  PubMed  Google Scholar 

  • Johnson, S. M., Christensen, A., & Bellamy, G. T. (1976). Evaluation of family intervention through unobtrusive audio recordings: Experiences in“bugging” children. Journal of Applied Behavior Analysis, 9, 213–219.

    Article  PubMed  Google Scholar 

  • Kahanna, T. (1990). Foundations of neural networks. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Kandel, E. R. (1989). Genes, nerve cells, and the remembrance of things past. Journal of Neuropsychiatry, 1, 103–125.

    Google Scholar 

  • Kandel, E. R. (1991). Cellular mechanisms of learning and the biological basis of individuality. In E. R. Kandel, J. H. Schwartz, & T. M. Jessell (Eds.), Principles of neural science (pp. 1009–1031). Norwalk, CT: Appleton & Lange.

    Google Scholar 

  • Kazdin, A. E. (1977). The token economy: A review and evaluation. New York: Plenum Press.

    Google Scholar 

  • Kehoe, E. J. (1988). A layered network model of associative learning: Learning to learn and configuration. Psychological Review, 95, 411–433.

    Article  PubMed  Google Scholar 

  • Klopf, A. H. (1988). A neuronal model of classical conditioning. Psychobiology, 16, 85–125.

    Google Scholar 

  • Konarski, E. A., Jr., Crowell, C. R., & Duggan, L. M. (1985). The use of response deprivation to increase the academic performance of EMR students. Applied Research in Mental Retardation, 6, 15–31.

    Article  PubMed  Google Scholar 

  • LeDoux, J. (1996). The emotional brain: The mysterious underpinnings of emotional life. New York: Simon & Schuster.

    Google Scholar 

  • Levine, D. S. (1991). Introduction to neural and cognitive modeling. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Lisboa, P. G. (Ed.). (1992). Neural networks: Current applications. New York: Van Nostrand Reinhold.

    Google Scholar 

  • Mace, F. C, & Lalli, J. S. (1991). Linking descriptive and experimental analyses in the treatment of bizarre speech. Journal of Applied Behavior Analysis, 24, 553–562.

    Article  PubMed  Google Scholar 

  • MacCorquodale, K., & Meehl, P. E. (1948). On the distinction between hypothetical constructs and intervening variables. Psychological Review, 55, 95–107.

    Article  PubMed  Google Scholar 

  • Mahoney, M. J. (1974). Cognition and behavior modification. Cambridge, MA: Ballinger.

    Google Scholar 

  • Mahoney, M. J. (1977). Reflections on the cognitive-learning trend in psychotherapy. American Psychologist, 32, 5–13.

    Article  PubMed  Google Scholar 

  • Malone, J. C. (1990). Theories of learning: A historical approach. Belmont, CA: Wadsworth.

    Google Scholar 

  • Martin, J. A., Maccoby, E. E., Baran, K. W., & Jacklin, C. N. (1981). Sequential analysis of mother-child interaction at 18 months: A comparison of microanalytic methods. Developmental Psychology, 17, 146–157.

    Article  Google Scholar 

  • Martin, G., & Pear, J. (1999). Behavior modification: What it is and how to do it, 6th ed. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Martindale, C. (1991). Cognitive psychology: A neural-network approach. Belmont, CA: Brooks/Cole.

    Google Scholar 

  • Matt, G. E., Vazquez, C, & Campbell, W. K. (1992). Mood-congruent recall of affectively toned stimuli: A metaanalytic review. Clinical Psychology Review, 12, 227–255.

    Article  Google Scholar 

  • Mayr, E. (1982). The growth of biological thought: Diversity, evolution, and inheritance. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Michel, W. (1981). Introduction to personality, 3rd ed. New York: Holt.

    Google Scholar 

  • Mowrer, O. H. (1948). Learning theory and the neurotic paradox. American Journal of Orthopsychiatry, 18, 571–610.

    Article  PubMed  Google Scholar 

  • Nelson, M. M., & Illingworth, W. T. (1991). A practical guide to neural nets. Reading, MA: Addison-Wesley.

    Google Scholar 

  • O’Brien, W. H., & Haynes, S. N. (1995). Behavioral assessment. In L. A. Heiden & M. Hersen (Eds.), Introduction to clinical psychology (pp. 103–139). New York: Plenum.

    Google Scholar 

  • Pao, Y. H. (1989). Adaptive pattern recognition and neural networks. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Parker, H. C. (1996). Behavior management at home: A token economy program for children and teens. Plantation, FL: Specialty Press.

    Google Scholar 

  • Patterson, G. R. (1979). A performance theory for coercive family interaction. In R. B. Cairns (Ed.), The analysis of social interactions: Methods, issues, and illustrations (pp. 119–162). Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Patterson, G. R. (1982). A social learning approach: Vol. 3. Coercive family process. Eugene, OR: Castalia.

    Google Scholar 

  • Patterson, G. R. (1997). Performance models for parenting: A social interactional perspective. In J. E. Grusec & L. Kuczynski (Eds.), Parenting and children’s internalization of values: A handbook of contemporary theory. New York: Wiley.

    Google Scholar 

  • Patterson, G. R., & Cobb, J. A. (1973). Stimulus control for classes of noxious behaviors. In J. F. Knutson (Ed.), The control of aggression: Implications from basic research. Chicago: Aldine.

    Google Scholar 

  • Pavlov, I. P. (1960). Conditioned reflexes: An investigation of the physiological activity of the cerebral cortex (G. V. Anrep, Trans.). New York: Dover (original work published 1927).

    Google Scholar 

  • Plaud, J. J., Gaither, G. A., Weller, L. A, Bigwood, S. J., Barth, J., & von Duvillard, S. P. (1998). Rational-emotive behavior therapy and the formation of stimulus equivalence classes. Journal of Clinical Psychology, 54, 597–610.

    Article  PubMed  Google Scholar 

  • Premack, D. (1959). Toward empirical behavioral laws. I: Positive reinforcement. Psychological Review, 66, 219–233.

    Article  PubMed  Google Scholar 

  • Purcell, K., & Brady, K. (1965). Adaptation to the invasion of privacy: Monitoring behavior with a miniature radio transmitter. Merrill-Palmer Quarterly, 12, 242–254.

    Google Scholar 

  • Repp, A. C, Harman, M. L., Felce, D., Van Acker, R., & Karsh, K. G. (1989). Conducting behavioral assessments on computer-collected data. Behavioral Assessment, 11, 249–268.

    Article  Google Scholar 

  • Rescorla, R. R. (1987). A Pavlovian analysis of goal-directed behavior. American Psychologist, 42, 119–129.

    Article  Google Scholar 

  • Rescorla, R. R. (1988). Pavlovian conditioning: Its not what you think it is. American Psychologist, 43, 151–160.

    Article  PubMed  Google Scholar 

  • Ritter, H., Martinetz, T., & Schulten, K. (1992). Neural computation and self-organizing maps: An introduction. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Rosenthal, T. L., & Zimmerman, B. J. (1978). Social learning and cognition. New York: Academic.

    Google Scholar 

  • Rosenzweig, M. R. (1996). Aspects of the search for neural mechanisms of memory. Annual Review of Psychology, 47, 1–32.

    Article  PubMed  Google Scholar 

  • Rumelhart, D. E., & McClelland, J. L. (Eds.). (1986). Parallel distributed processing: Explorations in the microstructure of cognition. Cambridge, MA: MIT Press.

    Google Scholar 

  • Sasso, G. M., Reimers, T. M., Cooper, L. J., Wacker, D., Berg, W., Steege, M., Kelly, L., & Allaire, A. (1992). Use of descriptive and experimental analyses to identify the functional properties of aberrant behavior in school settings. Journal of Applied Behavior Analysis, 25, 809–821.

    Article  PubMed  Google Scholar 

  • Schlundt, D. G. (1985). An observational methodology for functional analysis. Bulletin of the Society of Psychologists in Addictive Behaviors, 4, 234–249.

    Article  Google Scholar 

  • Schlundt, D. G., Johnson, W. G., & Jarrell, M. P. (1985). A naturalistic functional analysis of eating behavior in bulimia and obesity. Advances in Behavior Research and Therapy, 7, 149–162.

    Article  Google Scholar 

  • Schlundt, D. G., Virts, K. L., Sbrocco, T., Pope-Cordle, J., & Hill. J. O. (1993). A sequential behavioral analysis of craving sweets in obese women. Addictive Behaviors, 18, 67–80.

    Article  PubMed  Google Scholar 

  • Seligman, M. E. P. (1995). Helplessness: On depression, development, and death, 2nd ed. San Francisco: Freeman.

    Google Scholar 

  • Seligman, M. E. P. (1996). The optimistic child: A proven program to safeguard children against depression and build lifelong resilience. New York: HarperCollins.

    Google Scholar 

  • Seligman, M. E. P., & Hager, J. L. (Eds.). (1972). The biological boundaries of learning. New York: Appleton.

    Google Scholar 

  • Selverston, A. I. (Ed.). (1985). Model neural networks and behavior. New York: Plenum.

    Google Scholar 

  • Sidman, M. (1992). Adventitious control by the location of comparison stimuli in conditional discriminations. Journal of the Experimental Analysis of Behavior, 58, 173–182.

    Article  PubMed  Google Scholar 

  • Sidman M., Kirk B., & Willson-Morris M. (1985). Six-member stimulus classes generated by conditionaldiscrimination procedures. Journal of the Experimental Analysis of Behavior, 43, 21–42.

    Article  PubMed  Google Scholar 

  • Sidman, M., & Tailby, W. (1982). Conditional discrimination vs. matching to sample: An expansion of the testing paradigm. Journal of the Experimental Analysis of Behavior, 37, 5–22.

    Article  PubMed  Google Scholar 

  • Skinner, B. F. (1938). The behavior of organisms. New York: Appleton.

    Google Scholar 

  • Skinner, B. F. (1945). The operational analysis of psychological terms. Psychological Review, 52, 270–277.

    Article  Google Scholar 

  • Skinner, B. F. (1948).“Superstition” in the pigeon. Journal of Experimental Psychology, 38, 168–172.

    Article  PubMed  Google Scholar 

  • Skinner, B. F. (1950). Are theories of learning necessary? Psychological Review, 57, 193–196.

    Article  PubMed  Google Scholar 

  • Skinner, B. F. (1953). Science and human behavior. New York: Appleton-Century-Crofts.

    Google Scholar 

  • Skinner, B. F. (1957). Verbal behavior. New York: Appleton-Century-Crofts.

    Book  Google Scholar 

  • Skinner, B. F. (1963). Operant behavior. American Psychologist, 18, 503–515.

    Article  Google Scholar 

  • Skinner, B. F. (1966). Phylogeny and ontogeny of behavior. Science, 153, 1205–1213.

    Article  PubMed  Google Scholar 

  • Skinner, B. F (1969). Contingencies of reinforcement. New York: Appleton-Century-Crofts.

    Google Scholar 

  • Skinner, B. F. (1971). Beyond freedom and dignity. New York: Alfred A. Knopf.

    Google Scholar 

  • Skinner, B. F. (1974). About behaviorism. New York: Alfred A. Knopf.

    Google Scholar 

  • Skinner, B. F. (1975). The shaping of phylogenetic behavior. The Journal of the Experimental Analysis of Behavior, 24, 117–120.

    Article  Google Scholar 

  • Skinner, B. F. (1977). Why I am not a cognitive psychologist. Behaviorism, 5, 5–10.

    Google Scholar 

  • Skinner, B. F. (1981). Selection by consequences. Science, 213, 501–504.

    Article  PubMed  Google Scholar 

  • Skinner, B. F. (1984a). Selection by consequences. The Behavioral and Brain Sciences, 7, 477–510.

    Article  Google Scholar 

  • Skinner, B. F. (1984b). The evolution of behavior. Journal of the Experimental Analysis of Behavior, 41, 217–221.

    Article  PubMed  Google Scholar 

  • Skinner, B. F. (1989). The origins of cognitive thought. American Psychologist, 44, 13–18.

    Article  Google Scholar 

  • Sober, E. (1984). The nature of selection: Evolutionary theory in philosophical focus. Cambridge, MA: MIT Press.

    Google Scholar 

  • Soskin, W. F., & John, V. P. (1963). The study of spontaneous talk. In R. G. Barker (Ed.), The stream of behavior (pp. 228–281). New York: Appleton-Century-Crofts.

    Google Scholar 

  • Spitz, R. A. (1946). Anaclitic depression: An inquiry into the genesis of psychotic conditions in early childhood. The Psychoanalytic Study of the Child, 2, 142, 313.

    Google Scholar 

  • Spence, K. W. (1944). The nature of theory construction in contemporary psychology. Psychological Review, 51, 47–68.

    Article  Google Scholar 

  • Staats, A. W. (1964). Human learning. New York: Holt, Rinehart & Winston.

    Google Scholar 

  • Staats, A. W. (1968). Learning, language, and cognition. New York: Holt, Rinehart & Winston.

    Google Scholar 

  • Staats, A. W. (1971). Child learning, intelligence, and personality. New York: Harper & Row.

    Google Scholar 

  • Staats, A. W. (1975). Social behaviorism. Homewood, IL: Dorsey.

    Google Scholar 

  • Staats, A. W. (1981). Social behaviorism, unified theory, unified theory construction methods, and the Zeitgeist of separatism. American Psychologist, 36, 239–256.

    Article  Google Scholar 

  • Staats, A. W. (1986). Behaviorism with a personality: The paradigmatic behavioral assessment approach. In R. O. Nelson & S. C. Hayes (Eds.), Conceptual foundations of behavioral assessment. New York: Guilford.

    Google Scholar 

  • Staats, A. W. (1993). Psychological behaviorism: An overarching theory and a theory-construction methodology. The General Psychologist, 48, 58–59.

    Google Scholar 

  • Staats, A. W. (1996). Behavior and personality: Psychological behaviorism. New York: Springer.

    Google Scholar 

  • Suen, H. K., & Ary, D. (1989). Analyzing quantitative behavioral observation data. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Sutton, R. S., & Barto, A. G. (1981). Toward a modern theory of adaptive networks: Expectation and prediction. Psychological Review, 88, 135–170.

    Article  PubMed  Google Scholar 

  • Timberlake, W, & Allison, J. (1974). Response deprivation: An empirical approach to instrumental performance. Psychological Review, 81, 146–164.

    Article  Google Scholar 

  • Timberlake, W, & Farmer-Dougan, V. A. (1991). Reinforcement in applied settings: Figuring out ahead of time what will work. Psychological Bulletin, 110, 379–391.

    Article  PubMed  Google Scholar 

  • Tolman, E. C. (1932). Purposive behavior in animals and man. New York: Century.

    Google Scholar 

  • Torgerson, L. (1977). Datamyte 900. Behavior Research Methods and Instrumentation, 9, 405–406.

    Article  Google Scholar 

  • Tryon, G. S. (1985). The engagement quotient: One index of a basic counseling task. Journal of College Student Personnel, 26, 351–354.

    Google Scholar 

  • Tryon, G. S. (1989a). Study of variables related to client engagement using practicum trainees and experienced clinicians. Psychotherapy, 26, 54–61.

    Article  Google Scholar 

  • Tryon, G. S. (1989b). A study of engagement and premature termination in a university counseling center. Counseling Psychology Quarterly, 2, 437–447.

    Article  Google Scholar 

  • Tryon, G. S. (in press). Initial engagement of clients in counseling. In G. S. Tryon (Ed.), Counseling based on process research. Needham Heights, MA: Allyn & Bacon.

    Google Scholar 

  • Tryon, G. S., & Tryon, W. W. (1986). Factors associated with clinical practicum trainees’ engagement of clients in counseling. Professional Psychology: Research and Practice, 17, 586–589.

    Article  Google Scholar 

  • Tryon, R. C. (1931). Studies in individual difference in maze ability. Journal of Comparative Psychology, 12, 1–22, 95-115, 303-345, 401-420.

    Article  Google Scholar 

  • Tryon, W. W. (1976a). Models of behavior disorder: A formal analysis based on Woods’s taxonomy of instrumental conditioning. American Psychologist, 31, 509–518.

    Article  PubMed  Google Scholar 

  • Tryon, W. W. (1976b). A system of behavioral diagnosis. Professional Psychology, 7, 495–506.

    Article  Google Scholar 

  • Tryon, W. W. (1978). An operant explanation of Mowrer’s neurotic paradox. Behaviorism, 6, 203–211.

    Google Scholar 

  • Tryon, W. W. (1989). Behavioral assessment and psychiatric diagnosis. In M. Hersen (Ed.). Innovations in child behavior therapy (pp. 35–56). New York: Springer.

    Google Scholar 

  • Tryon, W. W. (1990). Why paradigmatic behaviorism should be retitled psychological behaviorism. The Behavior Therapist, 13, 127–128.

    Google Scholar 

  • Tryon, W. W. (1993a). Neural networks: I. Theoretical unification through connectionism. Clinical Psychology Review, 13, 341–352.

    Article  Google Scholar 

  • Tryon, W. W. (1993b). Neural networks: II. Unified learning theory and behavioral psychotherapy. Clinical Psychology Review, 13, 353–371.

    Article  Google Scholar 

  • Tryon, W. W. (1994). Synthesis not complementarity. American Psychologist, 49, 892–893.

    Article  Google Scholar 

  • Tryon, W. W. (1995a). Neural networks for behavior therapists: What they are and why they are important. Behavior Therapy, 26, 295–318.

    Article  Google Scholar 

  • Tryon, W. W (1995b). Resolving the cognitive behavioral controversy. The Behavior Therapist, 18, 83–86.

    Google Scholar 

  • Tryon, W. W. (1995c). Synthesizing animal and human research via neural network learning theory. Journal of Behavior Therapy and Experimental Psychiatry, 26, 303–312.

    Article  PubMed  Google Scholar 

  • Tryon, W. W. (1995d). Synthesizing psychological schisms through connectionism. In A. Gilgen & F. Abraham (Eds.), Chaos theory in psychology (pp. 247–263). Westport, CT: Praeger.

    Google Scholar 

  • Tryon, W. W. (1996). Yes—neural network learning theory can resolve the behavioral cognitive controversy. The Behavior Therapist, 19, 70, 72–73.

    Google Scholar 

  • Tryon, W. W. (1998a). A neural network explanation of posttraumatic stress disorder. Journal of Anxiety Disorders, 12, 373–385.

    Article  PubMed  Google Scholar 

  • Tryon, W. W. (1998b). Behavioral observation. In M. Hersen & A. S. Bellack (Eds.), Behavioral assessment: A practical handbook, 4th ed. (pp. 79–103). Boston: Allyn & Bacon.

    Google Scholar 

  • Tryon, W. W. (1999). A bidirectional associative memory explanation of posttraumatic stress disorder. Clinical Psychology Review, 19, 789–818.

    Article  PubMed  Google Scholar 

  • Wasserman, P. D. (1989). Neural computing: Theory and practice. New York: Van Nostrand-Reinhold.

    Google Scholar 

  • Watson, J. B. (1913). Psychology as the behaviorist views it. Psychological Review, 20, 158–177.

    Article  Google Scholar 

  • Watson, J. B. (1930). Behaviorism, rev. ed. Chicago: University of Chicago Press.

    Google Scholar 

  • Watson, J. B., & Raynor, R. (1920). Conditioned emotional reactions. Journal of Experimental Psychology, 3, 1–14.

    Article  Google Scholar 

  • Whitehurst, G. J., Fischel, J. E., DeBaryshe, B., Caulfield, M. R., & Falco, F. L. (1986). Analyzing sequential relations in observational data: A practical guide. Journal of Psychopathology and Behavioral Assessment, 8, 129–148.

    Article  Google Scholar 

  • Williams, J. M. G., Watts, F. N., MacLeod, C, & Mathews, A. (1988). Cognitive psychology and emotional disorders. New York: Wiley.

    Google Scholar 

  • Wolpe, J. W. (1958). Psychotherapy by reciprocal inhibition. Stanford, CA: Stanford University Press.

    Google Scholar 

  • Woods, P. J. (1974). A taxonomy of instrumental conditioning. American Psychologist, 29, 584–597.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer Science+Business Media New York

About this chapter

Cite this chapter

Tryon, W.W. (2001). Behavioral Model. In: Hersen, M., Van Hasselt, V.B. (eds) Advanced Abnormal Psychology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8497-5_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4419-8497-5_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4631-9

  • Online ISBN: 978-1-4419-8497-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics