Abstract
Psychometric principles in structural equation model building (e.g., LISREL) are applied to the psychonomic problems in simulating causal systems. A new approach is described (i.e., RAM) that permits the complete and concise description of causal logic by nomographic-diagrammatic representation. Several simple examples based on traditional data-analytic models are causally explicated. Relevant numerical algorithms for multivariable simulation in an on-line environment are described. As an illustration of complete structure-process modeling, a substantive example of “human ability systems” is presented. Finally, a broader view of both practical and theoretical applications is offered.
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I wish to thank John L. Horn and Richard S. Lehman for their stimulation and assistance in the development of the ideas presented here. I am also grateful for the helpful comments of Herman O. Wold and Steven E. Poltrock. Funding for this research was provided by John L. Horn under NSF-RIAS Grant SER-77-06935 and NIA Grant R01-AG0058302.
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McArdle, J.J. Causal modeling applied to psychonomic systems simulation. Behavior Research Methods & Instrumentation 12, 193–209 (1980). https://doi.org/10.3758/BF03201598
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DOI: https://doi.org/10.3758/BF03201598