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Weinberg, Sharon L. – Measurement and Evaluation in Counseling and Development, 1991
Describes several salient features of multidimensional scaling (MDS) for spatial distance models including proximity measures, interpoint distances, goodness-of-fit, and distinctions between metric and nonmetric scaling. Four commonly used MDS computer programs are described, and a section on applications of MDS selected from the counseling…
Descriptors: Computer Software, Multidimensional Scaling
Peer reviewed Peer reviewed
Fitzgerald, Louise F.; Hubert, Lawrence J. – Journal of Counseling Psychology, 1987
Describes the use of multidimensional scaling (MDS), emphasizing applications in counseling and vocational psychology. Includes an example of one standard nonmetric scaling method. Addresses conceptual and practical considerations associated with the use of MDS. (Author/KS)
Descriptors: Behavioral Science Research, Counseling, Multidimensional Scaling, Scaling
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Marascuilo, Leonard A.; Busk, Patricia L. – Journal of Counseling Psychology, 1987
Describes the loglinear model, and applies it to categorical data cross-tabulated on four dimensions. Defines contrasts similar to those of the analysis of variance and describes post hoc and planned comparison strategies. Illustrates hypothesis testing and model building for categorical data, providing guidelines for performing an analysis on…
Descriptors: Behavioral Science Research, Counseling, Hypothesis Testing, Models
Peer reviewed Peer reviewed
Dawis, Rene V. – Journal of Counseling Psychology, 1987
Discusses design, development, and evaluation of scales used in counseling psychology research. Describes methods of scale construction including the Thurstone, Q-sort, rank-order methods, Likert, semantic differential, Guttman, Rasch, and external criterion methods. Presents ways of evaluating newly developed scales. Discusses measurement versus…
Descriptors: Counseling, Measures (Individuals), Multidimensional Scaling, Psychology
Peer reviewed Peer reviewed
Noma, Elliot – Journal of the American Society for Information Science, 1984
Argues that co-citation methods combine citing behavior of authors by assuming they share common view of scientific literature which affects assessments of dimensionality and clustering of articles. Co-citation matrices, effects of shared point-of-view assumption, and co-citation compared with bibliographic coupling and centroid scaling are…
Descriptors: Bibliographic Coupling, Citations (References), Cluster Analysis, Cluster Grouping