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MULTIVARIATE MODELS OF COGNITION AND PERSONALITY: THE NEED FOR BOTH PROCESS AND STRUCTURE IN PSYCHOLOGICAL THEORY AND MEASUREMENT 1
Author(s) -
Messick Samuel
Publication year - 1973
Publication title -
ets research bulletin series
Language(s) - English
Resource type - Journals
eISSN - 2333-8504
pISSN - 0424-6144
DOI - 10.1002/j.2333-8504.1973.tb00836.x
Subject(s) - personality , multivariate statistics , cognition , psychology , intellect , process (computing) , cognitive psychology , multivariate analysis , extension (predicate logic) , structural equation modeling , component (thermodynamics) , cognitive science , computer science , social psychology , epistemology , machine learning , neuroscience , programming language , philosophy , physics , thermodynamics , operating system
ABSTRACT This paper calls for the development of sequential models of cognition and personality as a way of adding process to the primarily structural concerns of current multivariate models. At the same time, it points to the results of factor analysis, particularly as summarized in a hierarchical extension of Guilford's structure‐of‐intellect system, as a source of component variables for such sequential formulations. The need to take into account personality, developmental, and environmental variables in these sequential models is also emphasized.

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