, Volume 22, Issue 1, pp 87–95 | Cite as

A stochastic model for rote serial learning

  • Richard C. Atkinson


A model for the acquisition of responses in an anticipatory rote serial learning situation is presented. The model is developed in detail for the case of a long intertrial interval and employed to fit data where the list length is varied from 8 to 18 words. Application of the model to the case of a short intertrial interval is considered; some predictions are derived and checked against experimental data.


Experimental Data Public Policy Stochastic Model Statistical Theory Intertrial Interval 
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  1. [1]
    Atkinson, R. C. An analysis of rote serial position effects in terms of a statistical model. Unpublished doctor's dissertation, Indiana Univ., 1954.Google Scholar
  2. [2]
    Deese, J. and Kresse, F. H. An experimental analysis of the errors in rote serial learning.J. exp. Psychol., 1952,44, 199–202.Google Scholar
  3. [3]
    Estes, W. K. Toward a statistical theory of learning.Psychol. Rev., 1950,57, 94–107.Google Scholar
  4. [4]
    Estes, W. K. and Burke, C. J. A theory of stimulus variability.Psychol. Rev., 1953,60, 276–286.Google Scholar
  5. [5]
    Jordan, C. Calculus of finite differences. New York: Chelsea, 1950.Google Scholar
  6. [6]
    McGeoch, J. A. and Irion, A. L. The psychology of human learning. New York: Longmans, Green, 1952.Google Scholar
  7. [7]
    Noble, C. E. The effect of familiarization upon serial verbal learning.J. exp. Psychol., 1955,49, 333–337.Google Scholar

Copyright information

© Psychometric Society 1957

Authors and Affiliations

  • Richard C. Atkinson
    • 1
  1. 1.Indiana UniversityUSA

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