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Peer reviewedLingoes, James C.; Borg, Ingwer – Psychometrika, 1978
A family of models for the representation and assessment of individual differences for multivariate data called PINDIS (Procrustean Individual Differences Scaling) is presented. PINDIS sheds new light on the interpretability and applicability of a variety of multidimensional scaling models. (Author/JKS)
Descriptors: Computer Programs, Individual Differences, Mathematical Models, Multidimensional Scaling
Peer reviewedBillings, Robert S.; Cornelius, Edwin T., III – Personnel Psychology, 1980
A multidimensional scaling analysis of 21 work outcomes yielded a latent structure with three dimensions: value attached by society, level of psychological need met, and extent the outcome is inherent in the work itself. Results suggest a multidimensional model of work outcomes is more useful than a categorical approach. (Author)
Descriptors: College Students, Factor Analysis, Job Analysis, Job Satisfaction
Peer reviewedPsychometrika, 1981
A single-step maximum likelihood estimation procedure is developed for multidimensional scaling of dissimilarity data measured on rating scales. The procedure can fit the euclidian distance model to the data under various assumptions about category widths and under two distributional assumptions. Practical uses of the method are demonstrated.…
Descriptors: Computer Programs, Mathematical Models, Maximum Likelihood Statistics, Multidimensional Scaling
Peer reviewedBirch, Leann Lipps – Journal of Nutrition Education, 1979
Described is an experimental study to assess relationship between stated preferences and consumption patterns in preschool children. Correlation was considerably higher than the relationship reported for adults. Familiarity and sweetness factors accounted for 74 percent of the variance in the preference data. (Author/SMB)
Descriptors: Correlation, Eating Habits, Food, Multidimensional Scaling
Peer reviewedDillon, Linda S. – Home Economics Research Journal, 1980
Describes a study designed (1) to determine any underlying considerations governing the perceptions of professional people as to the appropriateness of specific types of garment styles for female business dress and (2) to determine if a difference exists in the perceptions of appropriateness of garment styles by sex. (CT)
Descriptors: Clothing, Employed Women, Multidimensional Scaling, Professional Personnel
Peer reviewedMacCallum, Robert C. – Psychometrika, 1979
A Monte Carlo study investigated the ability of the ALSCAL multidimensional scaling program to recover true structure inherent in simulated proximity measures when data were missing. The program worked well with up to 60 percent missing data as long as sample size was large and random error was low. (Author/JKS)
Descriptors: Computer Programs, Multidimensional Scaling, Program Effectiveness, Simulation
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 reviewedRobin, Frederic; Sireci, Stephen G.; Hambleton, Ronald K. – International Journal of Testing, 2003
Illustrates how multidimensional scaling (MDS) and differential item functioning (DIF) procedures can be used to evaluate the equivalence of different language versions of an examination. Presents examples of structural differences and DIF across languages. (SLD)
Descriptors: Item Bias, Licensing Examinations (Professions), Multidimensional Scaling, Multilingual Materials
Peer reviewedGlidden-Tracey, Cynthia E.; Parraga, Marianela – Journal of Vocational Behavior, 1996
Bolivian college students (n=98) completed the Spanish version of the Self-Directed Search. Three structural models of interests (Holland's, Gati's, and Rounds and Tracey's) were fit to correlations among scales. Results indicate poor model fit, suggesting that none of the models adequately characterize the interests of Bolivian students and…
Descriptors: College Students, Cross Cultural Studies, Foreign Countries, Multidimensional Scaling
Peer reviewedTakane, Yoshio; And Others – Psychometrika, 1995
A model is proposed in which different sets of linear constraints are imposed on different dimensions in component analysis and classical multidimensional scaling frameworks. An algorithm is presented for fitting the model to the data by least squares. Examples demonstrate the method. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Factor Analysis, Least Squares Statistics
Peer reviewedMeulman, Jacqueline J. – Psychometrika, 1992
The distance approach to nonlinear multivariate analysis proposed by J. J. Meulman (1986) is reviewed. Several generalizations are discussed by combining features from the conventional multivariate analysis approach, which seeks weighted sums of variables, with the alternative approach, which seeks to fit distances. (SLD)
Descriptors: Equations (Mathematics), Factor Analysis, Graphs, Mathematical Models
Peer reviewedMarsh, Herbert W. – Journal of Educational Psychology, 1991
Abrami and d'Apollonia dispute previous findings of the multidimensionality of students' evaluations of teaching effectiveness, but their analysis has several weaknesses, particularly in the failure to distinguish between exploratory and confirmatory factor analysis. Support for the multidimensional perspective remains strong. (SLD)
Descriptors: Factor Structure, Multidimensional Scaling, Student Evaluation of Teacher Performance, Teacher Effectiveness
Peer reviewedZielman, Berrie; Heiser, Willem J. – Psychometrika, 1993
An algorithm based on the majorization theory of J. de Leeuw and W. J. Heiser is presented for fitting the slide-vector model. It views the model as a constrained version of the unfolding model. A three-way variant is proposed, and two examples from market structure analysis are presented. (SLD)
Descriptors: Algorithms, Classification, Equations (Mathematics), Estimation (Mathematics)
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 reviewedBockenholt, Ulf – Psychometrika, 1990
This paper proposes a generalization of Thurstonian probabilistic choice models for analyzing both multiple preference responses and their relationships. The approach is illustrated by modeling data from two multivariate preference experiments. Preliminary data analyses show that the extension can yield an adequate representation of multivariate…
Descriptors: Equations (Mathematics), Individual Differences, Mathematical Models, Multidimensional Scaling


