Results 251 to 260 of about 29,715 (299)
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Unidimensional Scale for Dementia
Dementia and Geriatric Cognitive Disorders, 2001A cognitive test comprising 27 subscales was administered to 262 demented patients and 92 normal subjects. Principal factor analysis followed by varimax and Harris-Kaiser rotation and Guttman’s scalogram analysis was performed. The analysis yielded three factors, i.e. ‘recent memory’, ‘immediate memory or attention’ and ‘remote memory’.
H, Kashima +5 more
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UNIDIMENSIONAL SIMILARITY REVISITED
Scandinavian Journal of Psychology, 1966It is argued that the use of direct scaling methods to derive the perceptual magnitudes in the similarity function is inadvisable on two grounds. (1) Attention may shift from one way of rating to another and thereby affect the perceptual magnitude so that what is rated may depend on the method of rating.
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Systems Research and Behavioral Science, 2002
AbstractFrom carbon‐based organic molecules to body plans and thought, most living beings are built on linear structures that can be adequately described by unidimensional variables. Among known physical phenomena, electrical polarization is identified as a possible mechanism that assembles ordinary atoms into linear structures.
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AbstractFrom carbon‐based organic molecules to body plans and thought, most living beings are built on linear structures that can be adequately described by unidimensional variables. Among known physical phenomena, electrical polarization is identified as a possible mechanism that assembles ordinary atoms into linear structures.
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Tests of Randomness: Unidimensional and Multidimensional [PDF]
A variety of tests for randomness are reviewed based on simple product—moment statistics defined between two matrices, { aij} and { bij}. Typically, the first matrix, { aij}, contains proximity data on the spatial placement of n observations, { x1…. xn} the second matrix, { bij}, is obtained from the relationships among the n observations themselves ...
L J Hubert +3 more
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Stochastic Dominance on Unidimensional Grids
Mathematics of Operations Research, 1995Special stochastic-dominance relations for probability distributions on a finite grid of evenly-spaced points are considered. The relations depend solely on iterated partial sums of grid-point probabilities and are very computer efficient. Their corresponding classes of utility functions for expected-utility comparisons consist of functions defined on
Fishburn, Peter C., LaValle, Irving H.
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Peak capacity in unidimensional chromatography
Journal of Chromatography A, 2008The currently existing knowledge about peak capacity in unidimensional separations is reviewed. The majority of the paper is dedicated to reversed-phase gradient chromatography, covering specific techniques as well as the subject of peak compression. Other sections deal with peak capacity in isocratic chromatography, size-exclusion chromatography and ...
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Note on Guttman Unidimensional Scaling
Psychological Reports, 1966This paper reviews the concept of Guttman cumulative or unidimensional scaling and presents an added requirement that such scales must have a completely positive matrix of item intercorrelation. 1
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1996
Abstract Zilber’s theorem (proved in section 4 of Chapter 2) played a fundamental role in proving ‘global’ results about totally categorical theories and/or ω-categorical, ω-stable theories. Similarly the information gained in Chapters 4 and 5 about the structure of locally modular minimal types (together with the strongly minimal ...
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Abstract Zilber’s theorem (proved in section 4 of Chapter 2) played a fundamental role in proving ‘global’ results about totally categorical theories and/or ω-categorical, ω-stable theories. Similarly the information gained in Chapters 4 and 5 about the structure of locally modular minimal types (together with the strongly minimal ...
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Least Squares Metric, Unidimensional Unfolding
Psychometrika, 1984The partial derivatives of the squared error loss function for the metric unfolding problem have a unique geometry which can be exploited to produce unfolding methods with very desirable properties. This paper details a simple unidimensional unfolding method which uses the geometry of the partial derivatives to find conditional global minima; i.e., one
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Unidimensional linear latent variable models
1993Abstract: "Linear structural equation models with latent (unmeasured) variables are used widely in sociology, psychometrics, and political science. When such models have a unidimensional (pure) measurement model (Gerbing and Anderson 82, 88; Scheines 92) they imply constraints on the measured covariances which can be used to either confirm ...
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