Descriptor
Algorithms | 4 |
Comparative Analysis | 4 |
Matrices | 4 |
Orthogonal Rotation | 2 |
Attitude Measures | 1 |
Computer Programs | 1 |
Correlation | 1 |
Factor Analysis | 1 |
Factor Structure | 1 |
Measurement Techniques | 1 |
Multidimensional Scaling | 1 |
More ▼ |
Author
Cureton, Edward E. | 1 |
Domoney, Dennis W. | 1 |
Groenen, Patrick | 1 |
Kiers, Henk A. L. | 1 |
Krus, David J. | 1 |
Krus, Patricia H. | 1 |
Mulaik, Stanley A. | 1 |
Spence, Ian | 1 |
Publication Type
Journal Articles | 1 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Kiers, Henk A. L.; Groenen, Patrick – Psychometrika, 1996
An iterative majorization algorithm is proposed for orthogonal congruence rotation that is guaranteed to converge from every starting point. In addition, the algorithm is easier to program than the algorithm proposed by F. B. Brokken, which is not guaranteed to converge. The derivation of the algorithm is traced in detail. (SLD)
Descriptors: Algorithms, Comparative Analysis, Matrices, Orthogonal Rotation

Spence, 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

Krus, David J.; Krus, Patricia H. – Educational and Psychological Measurement, 1977
Described is a Fortran computer program for an alternative algorithm for Thurstone's pair comparisons method. This algorithm provides an improved capacity for handling indeterminate proportions of one and zero as well as untruncated estimates of population scale values. (Author/JKS)
Descriptors: Algorithms, Attitude Measures, Comparative Analysis, Computer Programs

Cureton, Edward E.; Mulaik, Stanley A. – Psychometrika, 1975
Applications to the Promax Rotation are discussed, and it is shown that these procedures solve Thurstone's hitherto intractable "invariant" box problem as well as other more common problems based on real data. (Author/RC)
Descriptors: Algorithms, Comparative Analysis, Factor Analysis, Factor Structure