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What Works Clearinghouse Rating
Peer reviewedLund, Thorleif – Multivariate Behavioral Research, 1974
It is shown that the Stone-Coles method is not a content method, but rather an alternative to the ordinary distance methods. As such, it is argued, it is of limited value. (Author)
Descriptors: Distance, Factor Analysis, Goodness of Fit, Multidimensional Scaling
Peer reviewedTzeng, Oliver C. S.; Landis, Dan – Multivariate Behavioral Research, 1978
Two popular models for performing multidimensional scaling, Tucker and Messick's points-of-view model, and Tucker's three mode model, are combined into a single analytic procedure, the 3M-POV model. The procedure is described and its strengths are discussed. Carroll and Chang's INDSCAL model is also mentioned. (JKS)
Descriptors: Correlation, Item Analysis, Mathematical Models, Multidimensional Scaling
Peer reviewedGliner, Gail; And Others – Multivariate Behavioral Research, 1983
Exploratory multidimensional scaling and confirmatory nonparametric procedures were used to represent data from similarity rating and sorting tasks on nine animal names administered prior to and following the reading of two stories using those names as main characters. Changes in structure were related to authors' intent. (Author/JKS)
Descriptors: Learning Processes, Measurement Techniques, Multidimensional Scaling, Reading Comprehension
Peer reviewedKim, Chulwan; Rangaswamy, Arvind; DeSarbo, Wayne S. – Multivariate Behavioral Research, 1999
Presents an approach to multidimensional unfolding that reduces the occurrence of degenerate solutions and conducts a Monte Carlo study to demonstrate the superiority of the new method to the ALSCAL and KYST nonmetric procedures for student preference data. (SLD)
Descriptors: Monte Carlo Methods, Multidimensional Scaling, Problem Solving, Simulation
Peer reviewedShikiar, Richard – Multivariate Behavioral Research, 1974
Represents an attempt to jointly scale both political issues and political candidates in the same space, using Tucker's (1972) three-mode mutidimensional scaling model. (Author/RC)
Descriptors: Factor Analysis, Individual Differences, Multidimensional Scaling, Political Attitudes
Peer reviewedSpence, Ian; Graef, Jed – Multivariate Behavioral Research, 1974
Descriptors: Computer Programs, Distance, Goodness of Fit, Matrices
Peer reviewedShikiar, Richard – Multivariate Behavioral Research, 1976
Five separate multidimensional scaling analyses with measurement occasions varying from election day to about 14 months after, resulted in two stable dimensions of political perception. These dimensions were identified as Republican and Democratic evaluative dimensions. The publicity surrounding Watergate apparently did not affect the stability of…
Descriptors: College Students, Followup Studies, Multidimensional Scaling, Political Affiliation
Peer reviewedLaPorte, Ronald E.; Voss, James F. – Multivariate Behavioral Research, 1979
Multidimensional scaling was used to study the comprehension of prose. Undergraduates rated the similarity of twenty nouns before and after reading passages containing those nouns. Results indicated that the scaling analysis provided an effective valid indicator of prose representation. (Author/JKS)
Descriptors: Higher Education, Measurement Techniques, Multidimensional Scaling, Prose
Peer reviewedVonk, Roos; Heiser, Willem J. – Multivariate Behavioral Research, 1991
A study involving 11 male and 11 female inhabitants of Leiden (Netherlands) tested the hypothesis that a subject's judgments of the personality of unfamiliar target persons correspond better with the subject's Implicit Personality Theory than do judgments of the personality of familiar persons. The results confirm the hypothesis. (TJH)
Descriptors: Comparative Analysis, Evaluative Thinking, Familiarity, Foreign Countries
Peer reviewedStewart, Thomas R. – Multivariate Behavioral Research, 1974
Suggests a way of using factor analytic techniques to supplement multidimensional scaling in such a way as to provide a firm basis for evaluating multidimensional representations. (Author/RC)
Descriptors: Evaluation Criteria, Factor Analysis, Matrices, Multidimensional Scaling
Peer reviewedDenison, Daniel R. – Multivariate Behavioral Research, 1982
Structural equation modeling is applied in conjunction with constrained monotone distance analysis. These alternative methods are used in an evaluation of a social-psychological model derived from Likert's theory of organizational behavior. (Author/JKS)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Multidimensional Scaling
Peer reviewedRosenfeld, Barry; Turkheimer, Eric – Multivariate Behavioral Research, 1995
Analysis of the pairwise preferences of pairs of gambling stimuli elicited from each of 40 chronic schizophrenic inpatients, 32 schizophrenic outpatients, and 33 siblings or parents of these patients indicates that choice behavior was usually determined by the expected value of the stimuli, with no significant differences among groups. (SLD)
Descriptors: Decision Making, Maximum Likelihood Statistics, Multidimensional Scaling, Parents
Peer reviewedJones, Russell A.; Rosenberg, Seymour – Multivariate Behavioral Research, 1974
Descriptors: Cluster Analysis, College Students, Multidimensional Scaling, Organization
Peer reviewedWest, Mary Ann – Multivariate Behavioral Research, 1986
INDSCAL analysis, based on bipolar ratings of physically agressive incidents by 217 subjects, yielded a solution in three dimensions: Provocation by Target, Intimates vs. Strangers and Harmful Outcome. One bipolar scale, the Right-Wrong Scale, was used as a direct measure of subjects' moral evaluation of each incident. (Author/LMO)
Descriptors: College Students, Higher Education, Moral Values, Multidimensional Scaling
Peer reviewedHale, Robert L. – Multivariate Behavioral Research, 1979
This investigation analyzed the diagnostic utility of subtest scores in differentiating between underachieving children and children who were adequately achieving. The use of derived classification equations from group statistics in individual diagnosis led to dramatic levels of misclassification among underachieving students. (Author/CTM)
Descriptors: Achievement Tests, Elementary Secondary Education, Intelligence Tests, Multidimensional Scaling


