Descriptor
Algorithms | 2 |
Matrices | 2 |
Orthogonal Rotation | 2 |
Comparative Analysis | 1 |
Factor Analysis | 1 |
Factor Structure | 1 |
Publication Type
Journal Articles | 2 |
Reports - Evaluative | 2 |
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

Trendafilov, Nickolay T. – Multivariate Behavioral Research, 1996
An iterative process is proposed for obtaining an orthogonal simple structure solution. At each iteration, a target matrix is constructed such that the relative contributions of the target majorize the original ones, factor by factor. The convergence of the procedure is proven, and the algorithm is illustrated. (SLD)
Descriptors: Algorithms, Factor Analysis, Factor Structure, Matrices