Cognitive Differentiation Analysis: A Regression Extension of the Reynolds-Sutrick Model
Autor: | Thomas J. Reynolds, Kenneth H. Sutrick |
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Rok vydání: | 2016 |
Předmět: |
Statistics and Probability
Experimental and Cognitive Psychology Regression analysis General Medicine Interval (mathematics) Measure (mathematics) Regression Weighting ComputingMethodologies_PATTERNRECOGNITION Arts and Humanities (miscellaneous) Goodness of fit Statistics Applied mathematics Pairwise comparison Multidimensional scaling Mathematics |
Zdroj: | Multivariate behavioral research. 23(4) |
ISSN: | 0027-3171 |
Popis: | Cognitive Differentiation Analysis (CDA) represents a method to directly measure the correspondence of an individual vector or a composite vector of descriptor ratings to a matrix of pairwise dissimilarity judgments where both sets of judgments are assumed to be ordinal. The zero intercept regression extension of CDA detailed in this paper yields a weight for each descriptor in the set, as opposed to the standard equal weighting case from which a composite vector would be constructed. An artifical example and an applied example are presented utilizing both ordinal and interval assumptions for the descriptor variables. |
Databáze: | OpenAIRE |
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