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Dancer, L. Suzanne – 1987
This study had two purposes: to test the usefulness of partial order scalogram analysis with multivariate response data; and to illustrate the multidimensional nature of suicide risk. A detailed introduction describes partial order scalograms, which locate respondents' profiles in a two-dimensional space (rather than on a unidimensional Guttman…
Descriptors: Affective Measures, Behavior Patterns, Depression (Psychology), Multidimensional Scaling
Huberty, Carl J; Smith, Janet C. – 1982
Predictive discriminant analysis involves a technique used in multivariate classification, i.e., in predicting membership in well-defined groups for units on which multiple measures are available. The validation (assessment) of group membership predictions pertains to two problems: estimating true proportions of correct classifications (i.e., hit…
Descriptors: Classification, Cluster Grouping, Discriminant Analysis, Estimation (Mathematics)
Tarnai, John – 1984
Despite revived interest in the study of relationships, the effect of loss of relationships in adulthood has lacked empirical study. To examine the dimensions underlying peoples' conceptions of their attachments in relationships and their reactions to the loss of relationships, 53 college students (31 females, 22 males) completed a questionnaire…
Descriptors: Attachment Behavior, College Students, Emotional Response, Higher Education
Peer reviewed Peer reviewed
Arabie, Phipps; And Others – Journal of Experimental Child Psychology, 1975
An investigation of memory development using nonmetric multidimensional scaling. Judgments of similarities between complex objects were obtained from 5-year-olds and adults under two conditions: (1) when objects were simultaneously present at the time of comparison, and (2) when the objects were not simultaneously present and had to be compared on…
Descriptors: Adults, Age Differences, Developmental Psychology, Memory
Subkoviak, Michael J.; Roecks, Alan L.
Three different methods of data collection in which subjects judged proximity between object pairs were examined. One method required subjects to partition objects into homogeneous subsets; the second entailed rating object pairs on a similarity-dissimilarity continuum; and the third involved comparing interobject proximities to a fixed standard.…
Descriptors: Classification, College Students, Comparative Analysis, Data Collection
Kayser, Brian D. – 1973
The Guttman model of scale analysis has found continued use in sociological analysis despite criticisms placed against it. An empirical example is provided of the use of factor analysis with Guttman scaling even taking into account the criticisms of both very restricted item number of dichotomous responses. Data came from a questionnaire using…
Descriptors: Attitude Measures, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewed Peer reviewed
Sanson-Fischer, Robert W.; Mulligan, B. – Multivariate Behavioral Research, 1977
A multidimensional scaling technique was used to assess the content and construct validity of a behavioral rating scale constructed to measure appropriate and inappropriate classroom behavior. The authors argue for the validity of the scale and the use of multidimensional scaling in resolving validity problems in behavior analysis. (Author/JKS)
Descriptors: Behavior Rating Scales, Elementary Secondary Education, Multidimensional Scaling, Student Behavior
Peer reviewed Peer reviewed
Rosen, Anne-Sofie – Journal of Consulting and Clinical Psychology, 1977
Tested the California Psychological Inventory Socialization scale's dimensionality on three groups of male and female, criminal or noncriminal subjects. The fit of a one-factor model for all three groups was tested in a simultaneous factor analysis for several populations, and good fit was obtained. (Author)
Descriptors: Criminals, Factor Analysis, Multidimensional Scaling, Psychological Testing
Peer reviewed Peer reviewed
Noma, Elliot; Smith, D. Randall – Multivariate Behavioral Research, 1985
Correspondence analysis can provide spatial or clustering representations by assigning spatial coordinates minimizing the distance between individuals linked by a sociometric relationship. These scales may then be used to identify individuals' locations in a multidimensional representation of a group's structure or to reorder the rows and columns…
Descriptors: Cluster Analysis, Goodness of Fit, Matrices, Multidimensional Scaling
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
Barak, Benny – International Journal of Aging and Human Development, 1987
Conducted exploratory field study to examine how age-concepts are experienced and to assess relationship of age identities to each other. Proposes Cognitive Age as a new multidimensional age scale that merges the standard scale, Identity Age, and Personal Age. Study results attest to Cognitive Age scale's reliability and validity. (Author/NB)
Descriptors: Age, Aging (Individuals), Cognitive Processes, Females
Peer reviewed Peer reviewed
Brady, Henry E. – Psychometrika, 1985
The properties of nonmetric multidimensional scaling one explored by specifying statistical models, proving statistical consistency, and devloping hypothesis testing procedures. Statistical models with errors in the dependent and independent variables are described for quantitative and qualitative data. (Author/LMO)
Descriptors: Goodness of Fit, Hypothesis Testing, Mathematical Models, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
DeSoete, Geert; Carroll, J. Douglas – Psychometrika, 1983
After introducing some extensions of a recently proposed probabilistic vector model for representing paired comparisons choice data, an iterative procedure for obtaining maximum likelihood estimates of the model parameters is developed. The possibility of testing various hypotheses is discussed and the algorithm is applied to some existing data…
Descriptors: Attitude Measures, Goodness of Fit, Mathematical Models, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Friedlander, Myrna L.; Highlen, Pamela S. – Journal of Counseling Psychology, 1984
Examined the interpersonal structures of interviews by Ackerman, Bowen, Jackson, and Whitaker with the same family to identify common features across counselors. Multidimensional scaling provided a spatial representation of the hidden structure in the communication patterns of these interviews. Correlations indicated counselors' interactions were…
Descriptors: Comparative Analysis, Counseling Techniques, Counselor Characteristics, Family Counseling
Peer reviewed Peer reviewed
MacCallum, Robert C. – Psychometrika, 1976
Concerned with consequences of employing the INDSCAL model when one of its assumptions are known to be violated. Under study is the notion that all individuals perceive the object space dimensions to be independent. (RC)
Descriptors: Factor Analysis, Goodness of Fit, Individual Differences, Mathematical Models
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