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Showing 61 to 75 of 140 results Save | Export
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Adams, Ryan S.; Tracey, Terence J. G. – Assessment, 2004
The Interpersonal Adjective Scales (IAS) is a well-supported instrument that is designed to map interpersonal traits onto the interpersonal circumplex. However, three versions of the IAS exist and these vary with respect to the degree to which they included item definitions (i.e., glossary added at the end, definitions attached to each item, and…
Descriptors: Multidimensional Scaling, Models, Personality Traits
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Becker, Johannes; Pipahl, Werner – Psychometrika, 1974
Descriptors: Models, Multidimensional Scaling, Set Theory, Stimuli
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Shikiar, Richard – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Individual Differences, Models, Multidimensional Scaling
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Harshman, Richard A.; Lundy, Margaret E. – Psychometrika, 1996
Some three-way factor analysis and multidimensional scaling models incorporate the principle of parallel proportional profiles of R. B. Cattell. Proof is presented for a unique axis orientation for a more general parallel profiles model that incorporates interacting dimensions. Special cases of PARAFAC2 and CANDECOMP models are discussed. (SLD)
Descriptors: Factor Analysis, Interaction, Models, Multidimensional Scaling
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Clayton, Michael C.; Hayes, Linda J. – Psychological Record, 2004
Throughout the 25-year history of research on stimulus equivalence, one feature of the training procedure has remained constant, namely, the requirement of operant responding during the training procedures. The present investigation compared the traditional match-to-sample (MTS) training with a more recent respondent-type (ReT) procedure. Another…
Descriptors: Training Methods, Models, Methods, Multidimensional Scaling
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Kiers, Henk A. L.; Vicari, Donatella; Vichi, Maurizio – Psychometrika, 2005
For the exploratory analysis of a matrix of proximities or (dis)similarities between objects, one often uses cluster analysis (CA) or multidimensional scaling (MDS). Solutions resulting from such analyses are sometimes interpreted using external information on the objects. Usually the procedures of CA, MDS and using external information are…
Descriptors: Classification, Multidimensional Scaling, Multivariate Analysis, Models
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Cohen, Harvey S.; Jones, Lawrence E. – Psychometrika, 1974
Descriptors: Algorithms, Correlation, Models, Multidimensional Scaling
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Davidson, John – Psychometrika, 1973
The present paper generalizes the results obtained by Davidson (1972) for nondegenerate stimulus configurations. (Author)
Descriptors: Geometric Concepts, Models, Multidimensional Scaling, Psychometrics
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Borgen, Fred H.; And Others – Journal of Vocational Behavior, 1996
Comments on the preceding article include "Slicing the Vocational Interest Pie One More Time" (Borgen, Donnay); "Lost in Space" (Harmon); "Alternative Dimensions of the Tracey-Rounds Interest Sphere" (Prediger); "Prestige in Vocational Interests" (Gottfredson); "What Goes around, Comes around"…
Descriptors: Models, Multidimensional Scaling, Prestige, Rating Scales
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Ennis, Daniel M; Johnson, Norman L. – Psychometrika, 1994
A model for preferential and triadic choice is derived in terms of weighted sums of central F distribution functions. It is a probabilistic generalization of Coombs' (1964) unfolding model from which special cases can be derived easily. This model for binary choice can be easily related to preference ratio judgments. (SLD)
Descriptors: Equations (Mathematics), Models, Multidimensional Scaling, Probability
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Einarsdottir, Sif; Rounds, James – Journal of Vocational Behavior, 2000
Multidimensional scaling analysis was conducted on the responses of 648 college students to 110 occupational title items in the Strong Interest Inventory. A three-dimensional structure of vocational interests emerged: Data-Ideas, People-Things, and Sex-Type. (SK)
Descriptors: Models, Multidimensional Scaling, Occupations, Personality Traits
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Bijmolt, Tammo H. A.; DeSarbo, Wayne S.; Wedel, Michel – Multivariate Behavioral Research, 1998
A multidimensional scaling procedure is introduced that attempts to derive a spatial representation of stimuli unconfounded by the effect of subjects' degrees of familiarity with these stimuli. A Monte Carlo study investigating the extent to which the procedure recovers known parameters shows that the procedure succeeds in adjusting for…
Descriptors: Familiarity, Models, Monte Carlo Methods, Multidimensional Scaling
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Melis, Cor; van Boxtel, Anton – Intelligence, 2007
We examined autonomic physiological responses induced by six different cognitive ability tasks, varying in complexity, that were selected on the basis of on Guilford's Structure of Intellect model. In a group of 52 participants, task performance was measured together with nine different autonomic response measures and respiration rate. Weighted…
Descriptors: Cognitive Ability, Multidimensional Scaling, Inhibition, Intelligence
Koubek, Richard J.; Mountjoy, Daniel N. – 1991
A proposed model of human knowledge structure was studied, beginning with an operational definition of knowledge structure. A battery of available knowledge structure measurement techniques was used to detect structure differences between two experience level groups in the domain of clerical work. Subjects were 15 experienced secretaries and 15…
Descriptors: Clerical Workers, Comparative Analysis, Measurement Techniques, Models
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Bechtel, Gordon G. – Psychometrika, 1973
It is the purpose of this paper to suggest the orthogonal analysis of variance as a device for simplifying either the analytic or iterative problem of finding LS (least squares) estimates for the parameters of particular nonlinear models. (Author/RK)
Descriptors: Analysis of Variance, Models, Multidimensional Scaling, Psychometrics
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