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Simulation models for psychometric theories

Published: 30 November 1965 Publication History

Abstract

My topic concerns another instance of a new methodology for the behavioral sciences made feasible by the availability of large fast computers. The strategy which characterizes this methodology is the attempt to simulate by means of computer programs, the paradigms which constrain and direct the behavior of an experienced behavioral scientist as he attempts to deal with the problems and data of interest to him. The significance for psychology of this computer-based methodology is similar to that of psychometric methodology to the extent that it provides formal systems for the explication and publication of the intuitions of the experienced psychologist.

References

[1]
P. Diederich, J. French, and S. Carlton, Factors in the Judgment of Writing Ability. ETS Research Bulletin RB 61--15, Educational Testing Service, Princeton, N. J. (1961).
[2]
P. Meehl, Clinical vs. Statistical Prediction. U. of Minn. Press, Minneapolis, 1954.
[3]
C. Helm and M. McKee, "Computer Simulation of a System of Interpretation for the California Personality Inventory" (in preparation).
[4]
R. Shepard, "Review of Computers and Thought," Behavioral Science, vol. 9, no. 1, pp. 57--65 (Jan. 1964).
[5]
W. Swenson, J. Pearson, and H. Rome, "Automation Techniques in Personality Assessment: A Fusion of Three Professions," Proceedings of the Conference on Data Acquisition and Processing in Biology and Medicine, New York, 1962. Pergamon Press, New York, 1963.
[6]
B. Kleinmuntz, "Personality Test Interpretation by Digital Computer," Science, no. 3553 (Feb. 1, 1963).
[7]
Z. Piotrowski, "Digital Computer Perceptanalytic (Rohrschach) Diagnoses in Neuropsychiatric and Personality Description." Paper given at E.P.A. meetings, New York, April, 1963.

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AFIPS '65 (Fall, part I): Proceedings of the November 30--December 1, 1965, fall joint computer conference, part I
November 1965
1119 pages
ISBN:9781450378857
DOI:10.1145/1463891
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • AFIPS: American Federation of Information Processing Societies

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 November 1965

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