Descriptor
Correlation | 4 |
Matrices | 4 |
Monte Carlo Methods | 4 |
Multidimensional Scaling | 4 |
Factor Analysis | 3 |
Goodness of Fit | 2 |
Cluster Analysis | 1 |
Comparative Analysis | 1 |
Data Analysis | 1 |
Difficulty Level | 1 |
Error of Measurement | 1 |
More ▼ |
Publication Type
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Arabie, 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

Spence, 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

Carroll, 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