Descriptor
| Factor Analysis | 2 |
| Item Analysis | 2 |
| Statistical Analysis | 2 |
| Cluster Analysis | 1 |
| Difficulty Level | 1 |
| Factor Structure | 1 |
| Multidimensional Scaling | 1 |
| Research Methodology | 1 |
| Test Interpretation | 1 |
| Test Items | 1 |
| Test Theory | 1 |
| More ▼ | |
Publication Type
| Guides - Non-Classroom | 2 |
| Journal Articles | 2 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedGuttman, Louis – Perceptual and Motor Skills, 1982
Mathematical and statistical relationships between factor analysis and smallest space analysis are discussed. As spatial analysis of correlation matrices, factor analysis is a special case of smallest space analysis. The two differ in six ways: Shepard diagram, dimensionality, correction for communality, similarity coefficients, regions versus…
Descriptors: Factor Analysis, Factor Structure, Item Analysis, Research Methodology
Peer reviewedReynolds, Thomas J. – Educational and Psychological Measurement, 1981
Cliff's Index "c" derived from an item dominance matrix is utilized in a clustering approach, termed extracting Reliable Guttman Orders (ERGO), to isolate Guttman-type item hierarchies. A comparison of factor analysis to the ERGO is made on social distance data involving multiple ethnic groups. (Author/BW)
Descriptors: Cluster Analysis, Difficulty Level, Factor Analysis, Item Analysis
