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Srinivasan, V.; Shocker, Allan D. – Psychometrika, 1973
This paper offers a new methodology for analyzing individual differences in preference judgments with regard to a set of stimuli. (Author)
Descriptors: Algorithms, Goodness of Fit, Models, Multidimensional Scaling
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Cooper, Lee G. – Psychometrika, 1972
Descriptors: Computer Programs, Goodness of Fit, Mathematical Applications, Multidimensional Scaling
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Tucker, Ledyard R. – Psychometrika, 1972
Descriptors: Factor Analysis, Factor Structure, Mathematical Models, Mathematics
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Marsh, Herbert W.; Smith, Ian D. – Journal of Educational Psychology, 1982
The multidimensionality of self-concept and the use of factor analysis in the development of self-concept instruments are supported in multitrait-multimethod analyses of the Sears and Coopersmith instruments. Convergent validity and discriminate validity of subscales in factor analysis and multitrait-multimethod analysis of longitudinal data are…
Descriptors: Comparative Analysis, Factor Analysis, Intermediate Grades, Longitudinal Studies
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Holbrook, Morris B.; Ryan, Michael J. – Administrative Science Quarterly, 1982
A national questionnaire survey of 324 automotive fleet administrators, examining the effects of three stress variables (decisional ambiguity, conflict, and work overload) in the administrators' 17 decision areas, tested whether managerial stress is decision-specific. Individual-level correlations and aggregate-level multidimensional scaling…
Descriptors: Administrative Problems, Administrators, Business Administration, Decision Making
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Rudy, Thomas E.; And Others – Journal of Consulting and Clinical Psychology, 1982
Subjects scaled 48 positive and 32 negative assertion vignettes according to similarity of difficulty to determine how people cognitively present complex social situations. Analyses indicated each dimension could be described according to major component(s) that contributed to it and dimensions varied in importance as a function of assertion…
Descriptors: Assertiveness, Cognitive Processes, College Students, Higher Education
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Pratt, Jamie H.; And Others – Educational and Psychological Measurement, 1981
Attempts are made to improve the previously used procedure for multidimensional scaling in the measure of conceptual level. Monte Carlo simulation runs and a laboratory experiment highlight potential incongruities related to the degree of error in the input data required by that process. Methodological recommendations are briefly evaluated.…
Descriptors: Cognitive Measurement, Cognitive Style, Higher Education, Hypothesis Testing
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Sackett, Paul R.; And Others – Personnel Psychology, 1981
Determined the extent to which direct judgments of similarity by supervisors and incumbents could provide the same job classification results as a more elaborate job analysis procedure. Results using hierarchical cluster analysis and multidimensional scaling analysis revealed that the global judgments and task-oriented data led to identical…
Descriptors: Classification, Comparative Analysis, Job Analysis, Multidimensional Scaling
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Russell, G. W.; Lambert, W. B. – British Journal of Educational Psychology, 1980
Changes in college freshmen's perceptual organization of characters from "Othello" after three weeks of study and lecture were assessed using multidimensional scaling procedures. Sherlock Holmes experts also provided dissimilarity ratings of Conan Doyle's characters. Discussion centers on the extent to which the lectures on…
Descriptors: Attitude Change, Characterization, College Students, Higher Education
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Leitzman, David F.; And Others – Instructional Science, 1980
Reports research that utilized multidimensional scaling and related analytic procedures to validate the curricular goals of a graduate therapeutic recreation program. Data analysis includes the use of the two-dimensional KYST and PREFMAP spaces. (Author/JD)
Descriptors: Cluster Analysis, Curriculum Design, Curriculum Development, Evaluation Methods
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Levine, Joel H. – Psychometrika, 1979
Social and naturally occurring choice phenomena are often of the "pick any" type in which the number of choices made by a subject as well as the set of alternatives from which they are chosen is unconstrained. A model and scaling method for these data are introduced. (Author/JKS)
Descriptors: Data Analysis, Item Analysis, Mathematical Models, Multidimensional Scaling
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Hoelter, Jon W. – Journal of Consulting and Clinical Psychology, 1979
Presents a multidimensional conception of fear of death and provides subscales for measuring suggested dimensions (fear of the dying process, of the dead, of being destroyed, for significant others, of the unknown, of conscious death, for body after death, and of premature death). Evidence for construct validity is provided. (Author/BEF)
Descriptors: Anxiety, Behavior Rating Scales, College Students, Concept Formation
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Rule, Stanley J. – Psychometrika, 1979
A method to provide estimates of parameters of specified nonlinear equations from ordinal data generated from a crossed design is presented. The statistical basis for the method, called NOPE (nonmetric parameter estimation), as well as examples using artifical data, are presented. (Author/JKS)
Descriptors: Analysis of Variance, Goodness of Fit, Multidimensional Scaling, Multiple Regression Analysis
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Mays, Robert – Educational and Psychological Measurement, 1976
Variables used in applicant selection into the British Civil Service were analyzed for a sample using varimax factor analysis, multidimensional scaling and multiple regression. Results indicated that four dimensions or factors of applicant selection were consistent across a variety of settings and analyses. (JKS)
Descriptors: Factor Analysis, Government Employees, Multidimensional Scaling, Multiple Regression Analysis
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Lyon, Maureen; Chatoor, Irene; Atkins, Darlene; Silber, Tomas; Mosimann, James; Gray, James – Adolescence, 1997
Tested six hypothesized risk factors of a model for anorexia nervosa. Results confirmed three of the risk factors: family history of depression, feelings of ineffectiveness, and poor interceptive awareness. Alcohol and drug abuse also figured prominently in the family history of patients with anorexia nervosa. (RJM)
Descriptors: Adolescents, Anorexia Nervosa, Depression (Psychology), Family Influence
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