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Part of the book series: Applied Clinical Psychology ((NSSB))

Abstract

Graphic data presentation, visual data analysis, and single-subject designs have each achieved a unique prominence in the experimental and applied analysis of behavior. In combination, they have allowed the direct, responsive, and individualized behavior-control procedures that characterize the functional analysis of behavior as no other strategy could have done (Baer, 1977; Michael, 1974; Skinner, 1956).

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References

  • Baer, D. M. (1977). Perhaps it would be better not to know everything. Journal of Applied Behavior Analysis, 10, 167–172.

    Article  PubMed  Google Scholar 

  • Baer, D. M., & Parsonson, B. S. (1981). Applied changes from steady state: Still a problem in the visual analysis of data. In C. M. Bradshaw, E. Szabadi, & C. F. Lowe (Eds.), Quantification of steady-state operant behaviour (pp. 273–285). Amsterdam: Elsevier/ North Holland Biomedical Press.

    Google Scholar 

  • Baer, D. M., & Wolf, M. M. (1970). The entry into natural communities of reinforcement. In R. Ulrich, T. Stachnik, and J. Mabry (Eds.), Control of human behavior (Vol. 2): From cure to prevention (pp. 319–324). Glenview, IL: Scott, Foresman.

    Google Scholar 

  • Baer, D. M., Wolf, M. M., & Risley, T. R. (1968). Some current dimensions of applied behavior analysis. Journal of Applied Behavior Analysis, 1, 91–97.

    Article  PubMed  Google Scholar 

  • Bakan, D. (1967). On method: Toward a reconstruction of psychological investigation. San Francisco: Jossey-Bass.

    Google Scholar 

  • Craighead, W. E., Kazdin, A. E., & Mahoney, M. J. (1976). Behavior modification: Principles, issues, and applications. Boston, MA: Houghton Mifflin.

    Google Scholar 

  • De Prospero, A., & Cohen, S. (1979). Inconsistent visual analysis of intra-subject data. Journal of Applied Behavior Analysis, 12, 573–579.

    Article  Google Scholar 

  • Edgington, E. S. (1980). Random assignment and statistical tests for one-subject experiments. Behavioral Assessment, 2, 19–28.

    Google Scholar 

  • Edgington, E. S. (1982). Non-parametric tests for single-subject multiple schedule experiments. Behavioral Assessment, 4, 83–91.

    Google Scholar 

  • Glass, G. V., Willson, V. L., & Gottman, J. M. (1975). Design and analysis of time-series experiments. Boulder, CO: University of Colorado Press.

    Google Scholar 

  • Gross, A. M., & Drabman, R. S. (1981). Behavioral contrast and behavior therapy. Behavior Therapy, 12, 231–246.

    Article  Google Scholar 

  • Gottman, J. M. (1981). Time-series analysis: A comprehensive introduction for social scientists. Cambridge, England: Cambridge University Press.

    Google Scholar 

  • Gottman, J. M., & Glass, G. V. (1978). Analysis of interrupted time-series experiments. In T. R. Kratochwill (Ed.), Single-subject research: Strategies for evaluating change (pp. 197–235). New York: Academic Press.

    Google Scholar 

  • Hartmann, D. P., Gottman, J. M., Jones, R. R., Gardner, W., Kazdin, A. E., & Vaught, R. (1980). Interrupted time-series analysis and its application to behavioral data. Journal of Applied Behavior Analysis, 13, 543–559.

    Article  PubMed  Google Scholar 

  • Hinson, J. M., & Staddon, J. E. R. (1978). Behavioral competition: A mechanism for schedule interactions. Science, 202, 432–434.

    Article  PubMed  Google Scholar 

  • Hugdahl, K., & Ost, L. G. (1981). On the difference between statistical and clinical significance. Behavioral Assessment, 3, 289–295.

    Google Scholar 

  • Jones, R. R., Weinrott, M. R., & Vaught, R. S. (1978). Effects of serial dependency on the agreement between visual and statistical inference. Journal of Applied Behavior Analysis, 11, 277–283.

    Article  PubMed  Google Scholar 

  • Kazdin, A. E. (1976). Statistical analyses for single-case experimental designs. In M. Hersen & D. H. Barlow (Eds.), Single-case experimental designs: Strategies for studying behavior change (pp. 265–316). Oxford: Pergamon Press.

    Google Scholar 

  • Kazdin, A. E. (1977). Assessing the clinical or applied importance of behavior change through social validation. Behavior Modification, 1, 427–452.

    Article  Google Scholar 

  • Kratochwill, T. R. (Ed.). (1978). Single-subject research: Strategies for evaluating change. New York: Academic press.

    Google Scholar 

  • Kratochwill, T. R., & Brody, G. H. (1978). Single-subject designs: A perspective on the controversy over employing statistical inference and implications for research and training in behavior modification. Behavior Modification, 2, 291–307.

    Article  Google Scholar 

  • Kratochwill, T. R., & Levin, J. R. (1980). On the applicability of various data analysis procedures to the simultaneous and alternating treatment designs in behavior therapy research. Behavioral Assessment, 2, 353–360.

    Google Scholar 

  • Ledolter, J. (1983). The study of time-series data. [Review]. Contemporary Psychology, 28(2), 157–158.

    Google Scholar 

  • Lubin, A. (1957). Replicability as a publication criterion. American Psychologist, 8, 519–520.

    Article  Google Scholar 

  • McNemar, Q. (1960). At random: Sense and nonsense. American Psychologist, 15, 295–300.

    Article  Google Scholar 

  • Michael, J. (1974). Statistical inference for individual organism research: Mixed blessing or curse? Journal of Applied Behavior Analysis, 7, 647–653.

    Article  PubMed  Google Scholar 

  • Parsonson, B. S., & Baer, D. M. (1978). The analysis and presentation of graphic data. In T. R. Kratochwill (Ed.), Single-subject research: Strategies for evaluating change (pp. 101–165). New York: Academic Press.

    Google Scholar 

  • Reynolds, G. S. (1961). Behavioral contrast. Journal of the Experimental Analysis of Behavior, 4, 57–71.

    Article  PubMed  Google Scholar 

  • Risley, T. R. (1970). Behavior modification: An experimental-therapeutic endeavor. In L. A. Hamerlynk, P. O. Davidson, & L. E. Acker (Eds.), Behavior modification and ideal mental health services (pp. 103–127). Calgary, Alberta: University of Alberta Press.

    Google Scholar 

  • Rollings, P. J., Baumeister, A. A., & Baumeister, A. A. (1977). The use of overcorrection procedures to eliminate the stereotyped behaviors of retarded individuals. Behavior Modification, 1, 29–46.

    Article  Google Scholar 

  • Shapiro, E. S., Kazdin, A. E., & McGonigle, J. J. (1982). Multiple-treatment interference in the simultaneous- or alternating-treatments design. Behavioral Assessment, 4, 105–115.

    Google Scholar 

  • Sharpley, C. (1981). Visual analysis of operant data: Can we believe our eyes? Australian Behaviour Therapist, 8, 13–21.

    Google Scholar 

  • Sidman, M. (1960). Tactics of scientific research. New York: Basic Books.

    Google Scholar 

  • Skinner, B. F. (1956). A case history in scientific method. American Psychologist, 11, 221–233.

    Article  Google Scholar 

  • Stirling, T. D. (1959). Publication decisions and their possible effects on inferences drawn from tests of significance—or vice-versa. Journal of the American Statistical Association, 54, 30–34.

    Google Scholar 

  • Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Ulman, J. D., & Sulzer-Azaroff, B. (1975). Multi-element baseline design in educational research. In E. Ramp & G. Semb (Eds.), Behavior analysis: Areas of research and application (pp. 377–391). Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Wampold, B. E., & Furlong, M. J. (1981). The heuristics of visual inference. Behavioral Assessment, 3, 79–92.

    Google Scholar 

  • Westra, D. P. (1979). Testing interventions in the interrupted time series quasi-experiment: The reliability of Box-Jenkins noise model specification with short series. Dissertation Abstracts, 39 (11), 5621-B.

    Google Scholar 

  • Wolery, M., & Billingsley, F. F. (1982). The application of Revusky’s R n test to slope and level changes. Behavioral Assessment, 4, 93–103.

    Google Scholar 

  • Wolf, M. M. (1978). Social validity: The case for subjective measurement, or How applied behavior analysis is finding its heart. Journal of Applied Behavior Analysis, 11, 203–214.

    Article  PubMed  Google Scholar 

  • Zinkgraf, S. A., & Willson, V. L. (1981). The use of the Box-Jenkins approach in causal modelling: An investigation of the cost of misidentification of selected stationary models. In O. D. Anderson & M. R. Perryman (Eds.), Time series analysis (pp. 651–653). Amsterdam: North Holland.

    Google Scholar 

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© 1986 Plenum Press, New York

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Parsonson, B.S., Baer, D.M. (1986). The Graphic Analysis of Data. In: Poling, A., Fuqua, R.W. (eds) Research Methods in Applied Behavior Analysis. Applied Clinical Psychology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-8786-2_8

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  • DOI: https://doi.org/10.1007/978-1-4684-8786-2_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-8788-6

  • Online ISBN: 978-1-4684-8786-2

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