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Open AccessJournal ArticleDOI

Dimensional and metric structures in multidimensional stimuli

Willa Kay Wiener-Ehrlich
- 01 Sep 1978 - 
- Vol. 24, Iss: 5, pp 399-414
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TLDR
These experiments investigated two characteristics of subjects’ multidimensional representations: their dimensional organization and metric structure, for both analyzable and integral stimuli, and the superiority of dimensional vs. metric structure as an indicator of stimulus analyzability.
Abstract
The present experiments investigated two characteristics of subjects’ multidimensional representations: their dimensional organization and metric structure, for both analyzable and integral stimuli. In Experiment 1, subjects judged the dissimilarity between all pairs of stimuli differing in brightness and size (analyzable stimuli), while in Experiment 2, subjects made dissimilarity judgments for stimuli varying in width height, and area shape (integral stimuli). For the brightness size stimuli, the findings that (a) brightness judgments were independent of size (and vice versa) and (b) the best fitting scaling solution was one that depicted an orthogonal structure are strong evidence that subjects perceived brightness size as a dimensionally organized structure. In contrast, for the rectangle stimuli, neither width height nor area shape contributed additively to overall dissimilarity. The results of the metric fitting were more equivocal. For all stimulus sets, the Euclidean metric yielded scaling solutions with lower stress values than the city block metric. When bidimensional ratings were regressed on unidimensional ratings, the city block metric yielded a slightly higher correlation coefficient than the Euclidean metric for brightness size stimuli. The two rules of combination were equivalent for the width-height stimuli, but the Euclidean metric provided a better approximation for the area shape stimuli. The results were discussed in terms of how subjects integrate physical dimensions for the case of integral stimuli and the superiority of dimensional vs. metric structure as an indicator of stimulus analyzability.

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Citations
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Comparing decision bound and exemplar models of categorization

TL;DR: The hypothesis that the decision bound is of fundamental importance in predicting asymptotic categorization performance and that the decided bound models provide a viable alternative to the currently popular exemplar models of categorization is supported.
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Nearest neighbor analysis of psychological spaces.

TL;DR: The analysis of 100 data sets shows that most perceptual data satisfy the geometric-statistical bound whereas many conceptual data sets exceed it, and the most striking discrepancies between the data and their multidimensional representations arise in semantic fields.
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Dimensional interactions and the structure of psychological space: the representation of hue, saturation, and brightness.

TL;DR: Investigating whether the dimensions of color stimuli are psychologically independent in dissimilarity judgment, spontaneous classification, and instructed classification tasks found that color experts were superior to nonexperts in the extraction of dimensional information about chroma only with moderately or highly saturated stimuli.
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Overall similarity and the identification of separable-dimension stimuli: a choice model analysis.

TL;DR: A surprising result was that the Euclidean metric provided a far better description of psychological distance relationships than the city-block metric, a finding that contrasts with virtually all previous conclusions regarding the appropriate Minkowski r-metric for separabledimension stimuli.
References
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Book

Statistical Principles in Experimental Design

TL;DR: In this article, the authors introduce the principles of estimation and inference: means and variance, means and variations, and means and variance of estimators and inferors, and the analysis of factorial experiments having repeated measures on the same element.
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Statistical Principles in Experimental Design

TL;DR: This chapter discusses design and analysis of single-Factor Experiments: Completely Randomized Design and Factorial Experiments in which Some of the Interactions are Confounded.
Journal ArticleDOI

Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis

TL;DR: The fundamental hypothesis is that dissimilarities and distances are monotonically related, and a quantitative, intuitively satisfying measure of goodness of fit is defined to this hypothesis.
Journal ArticleDOI

Attention and the metric structure of the stimulus space.

TL;DR: In this paper, three experiments were performed in an investigation of how differences in size and inclination combine to determine the over-all similarity between otherwise identical visual stimuli. Similarity was defined both in terms of direct subjective judgments of overall resemblance and the frequencies with which the stimuli were actually confused during identification learning.
Journal ArticleDOI

Integrality of stimulus dimensions in various types of information processing

TL;DR: In this article, the speed of sorting decks of stimulus cards was measured using seven experiments in which stimulus cards were constructed from two dichotomous dimensions, used either alone, correlated, or orthogonally.