Descriptor
| Change | 2 |
| Factor Analysis | 2 |
| Mathematical Models | 2 |
| Algorithms | 1 |
| Computer Software | 1 |
| Equal Opportunities (Jobs) | 1 |
| Equations (Mathematics) | 1 |
| Item Bias | 1 |
| Matrices | 1 |
| Occupational Tests | 1 |
| Psychometrics | 1 |
| More ▼ | |
Author
| Meredith, William | 1 |
| Wood, Phillip | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedWood, Phillip – Multivariate Behavioral Research, 1992
Two Statistical Analysis System (SAS) macros are presented that perform the modified principal components approach of L. R. Tucker (1966) to modeling generalized learning curves analysis up to a rotation of the components. Three SAS macros are described that rotate the factor patterns to have characteristics Tucker considered desirable. (SLD)
Descriptors: Algorithms, Change, Computer Software, Factor Analysis
Peer reviewedMeredith, William – Psychometrika, 1993
A conceptual framework is provided for thinking about measurement invariance (or bias), and conditions are demonstrated under which invariance can occur. Tools are suggested for addressing such issues as fairness in employment testing, salary equity, and cross-sectional developmental change. Strict factorial invariance is required for…
Descriptors: Change, Equal Opportunities (Jobs), Equations (Mathematics), Factor Analysis
