Descriptor
| Correlation | 10 |
| Matrices | 10 |
| Multidimensional Scaling | 10 |
| Factor Analysis | 6 |
| Monte Carlo Methods | 4 |
| Cluster Analysis | 3 |
| Comparative Analysis | 3 |
| Nonparametric Statistics | 3 |
| Stimuli | 3 |
| Goodness of Fit | 2 |
| Item Analysis | 2 |
| More ▼ | |
Author
| Spence, Ian | 2 |
| Arabie, Phipps | 1 |
| Baker, Robert F. | 1 |
| Burton, Michael L. | 1 |
| Carroll, Robert M. | 1 |
| Cohen, Arie | 1 |
| Domoney, Dennis W. | 1 |
| Farley, Frank H. | 1 |
| Geisinger, Kurt | 1 |
| Jones, Patricia B. | 1 |
| Levin, Joseph | 1 |
| More ▼ | |
Publication Type
| Speeches/Meeting Papers | 3 |
| Reports - Evaluative | 2 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
| Researchers | 1 |
Location
| Canada | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| California Psychological… | 1 |
What Works Clearinghouse Rating
Peer reviewedBurton, Michael L. – Multivariate Behavioral Research, 1975
Three dissimilarity measures for the unconstrained sorting task are investigated. All three are metrics, but differ in the kind of compensation which they make for differences in the sizes of cells within sortings. Empirical tests of the measures are done with sorting data for occupations names and the names of behaviors, using multidimensional…
Descriptors: Classification, Cluster Analysis, Correlation, Matrices
Peer reviewedYoung, Forest; Baker, Robert F. – Psychometrika, 1975
The Individual Scaling with Individual Subjects (ISIS) procedure appears to be a viable implementation of an incomplete design for collecting real as well as simulated data. Applied to a multidimensional set of data, it reduced the number of judgments required by more than half and yet gave the same number of dimensions. (Author/RC)
Descriptors: Correlation, Data Collection, Matrices, Multidimensional Scaling
Peer reviewedSpence, Ian; Domoney, Dennis W. – Psychometrika, 1974
Monte Carlo procedures were used to investigate the properties of a nonmetric multidimensional scaling algorithm when used to scale an incomplete matrix of dissimilarities. Recommendations for users wishing to scale incomplete matrices are made. (Author/RC)
Descriptors: Algorithms, Comparative Analysis, Correlation, Matrices
Peer reviewedArabie, Phipps – Psychometrika, 1978
An examination is made concerning the utility and design of studies comparing nonmetric multidimensional scaling algorithms and their initial configurations, as well as the agreement between the results of such studies. Various practical details of nonmetric scaling are also considered. (Author/JKS)
Descriptors: Correlation, Goodness of Fit, Matrices, Monte Carlo Methods
Peer reviewedSpence, Ian; Young, Forrest W. – Psychometrika, 1978
Several nonmetric multidimensional scaling random ranking studies are discussed in response to the preceding article (TM 503 490). The choice of a starting configuration is discussed and the use of principal component analysis in obtaining such a configuration is recommended over a randomly chosen one. (JKS)
Descriptors: Correlation, Factor Analysis, Goodness of Fit, Matrices
Peer reviewedLevin, Joseph – Educational and Psychological Measurement, 1991
A reanalysis of the intercorrelation matrix from a principal components analysis of the Life Styles Inventory was conducted using a Canadian sample. Using nonmetric multidimensional scaling, analyses show an almost perfect circumplex pattern. Results illustrate the inadequacy of factor analytic procedures for the analysis and representation of a…
Descriptors: Attitude Measures, Correlation, Factor Analysis, Foreign Countries
Cohen, Arie; Farley, Frank H. – 1974
Procedures for analyzing common item effects on interscale structure were reviewed and a study using smallest space analysis of the California Psychological Inventory (CPI) reported. Solutions of three matrices--intercorrelation matrix of the original CPI scales, of reduced scales (with common items removed), and of the number of common…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
Peer reviewedCarroll, Robert M. – Educational and Psychological Measurement, 1976
Examines the similarity between the coordinates which resulted when correlations were used as similarity measures and the factor loadings obtained by factor analyzing the same correlation matrix. Real data, a set of error free data, and some computer generated data containing deliberately introduced sampling error are analyzed. (RC)
Descriptors: Comparative Analysis, Correlation, Data Analysis, Factor Analysis
Jones, Patricia B.; And Others – 1987
In order to determine the effectiveness of multidimensional scaling (MDS) in recovering the dimensionality of a set of dichotomously-scored items, data were simulated in one, two, and three dimensions for a variety of correlations with the underlying latent trait. Similarity matrices were constructed from these data using three margin-sensitive…
Descriptors: Cluster Analysis, Correlation, Difficulty Level, Error of Measurement
Sireci, Stephen G.; Geisinger, Kurt – 1993
Various methods used to assess the content of a test are reviewed, and a new procedure designed to improve on these methods is presented. The two tests considered are a professional licensure examination, the auditing section of the Uniform Certified Public Accountant Examination, and an educational achievement test, a nationally standardized…
Descriptors: Achievement Tests, Certified Public Accountants, Cluster Analysis, Content Analysis


