Hostname: page-component-54dcc4c588-sdd8f Total loading time: 0 Render date: 2025-09-12T11:22:23.093Z Has data issue: false hasContentIssue false
  • English
  • Français

Models, Computers and Policies: Fifty Years of Psychometrika

Published online by Cambridge University Press:  01 January 2025

Bert F. Green
Bert F. Green*
Affiliation:
Johns Hopkins University
*
Requests for reprints should be sent to Bert F. Green, Department of Psychology, Johns Hopkins University, Baltimore, MD 21218.
Get access Rights & Permissions [Opens in a new window]

Abstract

Mathematical models have been represented in Psychometrika first in biophysics, then in stochastic models of behavior, and later in computer simulations of behavior. Other specialized journals now attract many articles in these areas, but Psychometrika's policy of broad interest in all aspects of quantitative psychology remains sound. This paper reviews Psychometrika's coverage of mathematical models and computation, and discusses some matters of editorial policy.

Information

Type
50th Anniversary Section
Information
Psychometrika , Volume 51 , Issue 1 , March 1986 , pp. 65 - 68
Copyright
Copyright © 1986 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

Atkinson, R. C. (1957). A stochastic model for rote serial learning. Psychometrika, 22, 87–96.CrossRefGoogle Scholar
Atkinson, R. C. (1958). A Markov model for discrimination learning. Psychometrika, 23, 309–322.CrossRefGoogle Scholar
Atkinson, R. C. (1961). A generalization of stimulus sampling theory. Psychometrika, 26, 281–290.CrossRefGoogle Scholar
Birch, D. (1957). A model for response tendency combination. Psychometrika, 22, 373–380.CrossRefGoogle Scholar
Bloxom, B. (1979). Estimating an unobserved component of a serial response time model. Psychometrika, 44, 473–484.CrossRefGoogle Scholar
Bush, R. R., Mosteller, F. (1951). A mathematical model for simple learning. Psychological Review, 58, 313–323.CrossRefGoogle ScholarPubMed
Estes, W. K. (1950). Toward a statistical theory of learning. Psychological Review, 57, 94–107.CrossRefGoogle Scholar
Estes, W. K. (1957). Theory of learning with constant, variable, or contingent probabilities of reinforcement. Psychometrika, 22, 113–132.CrossRefGoogle Scholar
Estes, W. K. (1961). New developments in statistical behavior theory: Differential tests of axioms for associative learning. Psychometrika, 26, 73–84.CrossRefGoogle Scholar
Feldman, J., Newell, A. (1961). A note on a class of probability matching models. Psychometrika, 26, 333–338.CrossRefGoogle Scholar
Garner, W. R., McGill, W. J. (1956). The relation between information and variance analysis. Psychometrika, 21, 219–228.CrossRefGoogle Scholar
Green, B. F. Jr. (1961). Computer models for cognitive processes. Psychometrika, 26, 85–92.CrossRefGoogle Scholar
Greeno, J. G. (1969). An analysis of some conditions for representingN state Markov processes as general all-or-none models. Psychometrika, 34, 461–487.Google Scholar
Gulliksen, H. (1936). The relationship between degree of original learning and degree of transfer. Psychometrika, 1, 37–43.CrossRefGoogle Scholar
Gulliksen, H., Wolfle, D. L. (1938). A theory of learning and transfer: I. Psychometrika, 3, 127–149.CrossRefGoogle Scholar
Jones, L. V. (1963). Beyond Babbage. Psychometrika, 28, 315–332.CrossRefGoogle Scholar
Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29, 1–27.CrossRefGoogle Scholar
Kruskal, J. B. (1964). Nonmetric multidimensional scaling: A numerical method. Psychometrika, 29, 115–129.CrossRefGoogle Scholar
Luce, R. D., Tukey, J. W. (1964). Simultaneous conjoint measurement: A new type of fundamental measurement. Journal of Mathematical Psychology, 1, 1–27.CrossRefGoogle Scholar
Miller, G. A. (1952). Finite Markov processes in psychology. Psychometrika, 17, 149–167.CrossRefGoogle Scholar
Miller, G. A., McGill, W. J. (1952). A statistical description of verbal learning. Psychometrika, 17, 369–396.CrossRefGoogle Scholar
Restle, F. (1955). Axioms of a theory of discrimination learning. Psychometrika, 20, 201–208.CrossRefGoogle Scholar
Ross, J. (1962). Informational coverage and correlational analysis. Psychometrika, 27, 297–306.CrossRefGoogle Scholar
Shepard, R. N. (1962). The analysis of proximities: Multidimensional scaling with an unknown distance function. I. Psychometrika, 27, 125–140.CrossRefGoogle Scholar
Shepard, R. N. (1962). The analysis of proximities: Multidimensional scaling with an unknown distance function. II. Psychometrika, 27, 219–246.CrossRefGoogle Scholar
Simon, H. A. (1957). Amounts of fixation and discovery in maze learning behavior. Psychometrika, 22, 261–268.CrossRefGoogle Scholar
Simon, H. A. (1962). A note on mathematical models for learning. Psychometrika, 27, 417–418.CrossRefGoogle Scholar
Simon, H. A. (1966). A note on Jost's law and exponential forgetting. Psychometrika, 31, 505–506.CrossRefGoogle ScholarPubMed
Waugh, N. C., Smith, J. E. K. (1962). A stochastic model for free recall. Psychometrika, 27, 141–154.CrossRefGoogle Scholar