Descriptor
Data Analysis | 12 |
Multidimensional Scaling | 12 |
Research Methodology | 12 |
Mathematical Models | 5 |
Measurement Techniques | 5 |
Algorithms | 2 |
Classification | 2 |
Comparative Analysis | 2 |
Factor Analysis | 2 |
Statistical Analysis | 2 |
At Risk Persons | 1 |
More ▼ |
Source
Psychometrika | 3 |
Educational Assessment | 1 |
Multivariate Behavioral… | 1 |
Perceptual and Motor Skills | 1 |
Rehabilitation Counseling… | 1 |
Suicide and Life-Threatening… | 1 |
Author
Bechtel, Gordon G. | 1 |
Berven, Norman L. | 1 |
Bimler, David | 1 |
Burgin, Robert | 1 |
Dong, Hei-Ki | 1 |
Eaton, Gale | 1 |
Hartnett, Barbara M. | 1 |
Hyde, Toni | 1 |
Kirkland, John | 1 |
McKinley, Robert L. | 1 |
Pechtel, Pia | 1 |
More ▼ |
Publication Type
Reports - Research | 7 |
Journal Articles | 6 |
Speeches/Meeting Papers | 2 |
Information Analyses | 1 |
Reports - Descriptive | 1 |
Tests/Questionnaires | 1 |
Education Level
Audience
Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Dong, Hei-Ki – Perceptual and Motor Skills, 1982
An alternative procedure for converting the multidimensional rank-order data for multidimensional scaling is suggested. Data are converted into triad-comparison data from which the proximities are obtained for multidimensional scaling. (Author/CM)
Descriptors: Comparative Analysis, Data Analysis, Multidimensional Scaling, Research Methodology
Rumery, Robert E.; Hartnett, Barbara M. – 1973
The use of Kruskal's nonmetric multidimensional scaling model for analysis of classroom interaction data is discussed. Four distance models are proposed which lead to multidimensional representation of single sequences, sets of sequences, and behavior categories using symmetric and conditional proximity options of the model. Results of application…
Descriptors: Classroom Research, Data Analysis, Interaction, Interaction Process Analysis

Ramsay, J. O. – Psychometrika, 1980
In studies involving judgments of similarity or dissimilarity, a variety of other variables may also be measured. In such cases, there are important advantages to joint analyses of the dissimilarity and collateral variables. A variety of models are described for relating these and algorithms are described for fitting these to data. (Author/JKS)
Descriptors: Data Analysis, Guessing (Tests), Mathematical Models, Measurement Techniques

Bechtel, Gordon G.; And Others – Psychometrika, 1971
Contains a solution for the multidimensional scaling of pairwise choice when individuals are represented as dimensional weights. The analysis supplies an exact least squares solution and estimates of group unscalability parameters. (DG)
Descriptors: Data Analysis, Mathematical Models, Measurement Techniques, Multidimensional Scaling

Sireci, Stephen G. – Educational Assessment, 1998
Describes content-validity theory and illustrates new and traditional approaches for conducting content-validity studies. Newer approaches are based on multidimensional scaling analysis of item-similarity ratings, while traditional approaches are based on ratings of item-objective congruence and relevance. (Author/SLD)
Descriptors: Content Validity, Data Analysis, Evaluation Methods, Multidimensional Scaling

And Others; Takane, Yoshio – Psychometrika, 1980
An individual differences additive model is discussed which represents individual differences in additivity by differential weighting or additive factors. A procedure for estimating model parameters for various data measurement characteristics is developed. The method is found to be very useful in describing certain types of developmental change…
Descriptors: Algorithms, Data Analysis, Least Squares Statistics, Mathematical Models

Schonemann, Peter H.; And Others – Multivariate Behavioral Research, 1975
Descriptors: Algorithms, Data Analysis, Dimensional Preference, Individual Differences
McKinley, Robert L.; Reckase, Mark D. – 1982
The usefulness of the general Rasch model for multidimensional data, from the most simple formulations to the more complex versions of the model, is explored. Also investigated was whether the parameters of the models could be readily interpreted. Models investigated included: (1) the vector model; (2) the product term model; (3) the vector and…
Descriptors: Data Analysis, Factor Analysis, Goodness of Fit, Latent Trait Theory

Berven, Norman L.; Scofield, Michael E. – Rehabilitation Counseling Bulletin, 1982
Describes multidimensional scaling and cluster analysis and the type of problems they can help solve. Cites major literature sources concerning their use. Reviews applications of these methods in rehabilitation research. Discusses possible advantages of nonmetric data-reduction techniques over metric approaches, such as factor analysis. (Author)
Descriptors: Cluster Analysis, Data Analysis, Factor Analysis, Multidimensional Scaling
Hyde, Toni; Kirkland, John; Bimler, David; Pechtel, Pia – Suicide and Life-Threatening Behavior, 2005
The current study integrates descriptive (though primarily social-psychological) statements about youth suicide into a coherent, empirically supported taxonomy. Drawing from relevant literature, a set of 107 items characterizing these contributions about youth suicide was created. Seventy-two participants sorted these statements according to their…
Descriptors: Suicide, Classification, At Risk Persons, Youth Problems
Townes-Rosenwein, Linda – 1979
This paper discusses a longitudinal, exploratory study of developmental dimensions related to object permanence theory and explains how multidimensional scaling techniques can be used to identify developmental dimensions. Eighty infants, randomly assigned to one of four experimental groups and one of four counterbalanced orders of stimuli, were…
Descriptors: Behavior Development, Data Analysis, Infants, Multidimensional Scaling
Eaton, Gale; Burgin, Robert – 1983
This study by two Ph.D. students in library science reviewed a systematic sample of the research literature in library and information science published in 62 core library journals in 1983 to order to identify substantive articles and compare their findings on research methodologies and trends with those reported in a similar study performed in…
Descriptors: Authors, Classification, Comparative Analysis, Data Analysis