Descriptor
| Algorithms | 8 |
| Computer Programs | 8 |
| Factor Analysis | 8 |
| Correlation | 5 |
| Factor Structure | 4 |
| Statistical Analysis | 3 |
| Transformations (Mathematics) | 3 |
| Cluster Grouping | 2 |
| Data Analysis | 2 |
| Goodness of Fit | 2 |
| Mathematics | 2 |
| More ▼ | |
Author
| Hofmann, Richard J. | 2 |
| Jensema, Carl | 2 |
| Borko, Harold | 1 |
| Gray, William M. | 1 |
| Joreskog, Karl G. | 1 |
| Lingoes, James C. | 1 |
| Urry, Vern W. | 1 |
| Van Thillo, Marielle | 1 |
| Wisler, Carl E. | 1 |
Publication Type
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedHofmann, Richard J. – Educational and Psychological Measurement, 1978
A general factor analysis computer algorithm is briefly discussed. The algorithm is highly transportable with minimum limitations on the number of observations. Both singular and non-singular data can be analyzed. (Author/JKS)
Descriptors: Algorithms, Computer Programs, Factor Analysis, Transformations (Mathematics)
Peer reviewedLingoes, James C. – Journal of Educational and Psychological Measurement, 1974
Descriptors: Algorithms, Computer Programs, Factor Analysis, Goodness of Fit
Download full textJoreskog, Karl G.; Van Thillo, Marielle – 1971
A new basic algorithm is discussed that may be used to do factor analysis by any of these three methods: (1) unweighted least squares, (2) generalized least squares, or (3) maximum likelihood. (CK)
Descriptors: Algorithms, Computer Programs, Correlation, Expectation
Jensema, Carl; Urry, Vern W. – 1971
Procrustes rotation involves fitting a factor pattern matrix to a specified target matrix in factor analysis. These rotations are useful for the investigator who wishes to see how well his data can be made to fit a hypothesized factor pattern matrix. The mathematical problems involved in these transformations are outlined and computer algorithms…
Descriptors: Algorithms, Computer Programs, Factor Analysis, Factor Structure
PDF pending restorationJensema, Carl – 1971
Under some circumstances, it is desirable to compare the factor patterns obtained from different factor analyses. To date, the best method of simultaneously achieving simple structure and maximum similarity is the technique devised by Bloxom (1968). This technique simultaneously rotates different factor patterns to maximum similarity and varimax…
Descriptors: Algorithms, Computer Programs, Correlation, Factor Analysis
PDF pending restorationWisler, Carl E. – 1967
Two factor analysis algorithms, previously described by P. Horst, have been programed for use on the General Electric Time-Sharing Computer System. The first of these, Principal Components Analysis (PCA), uses the Basic Structure Successive Factor Method With Residual Matrices algorithm to obtain the principal component vectors of a correlation…
Descriptors: Algorithms, Computer Programs, Correlation, Data Analysis
Borko, Harold; And Others – 1968
Experiments were performed to determine the feasibility of using ALCAPP as one form of on-line dialogue. Assuming the ALCAPP (Automatic List Classification and Profile Production) system is in an on-line mode, investigations of those parameters which could affect its stability and reliability were conducted. Fifty-two full test documents were used…
Descriptors: Abstracts, Algorithms, Analysis of Variance, Automation
Gray, William M.; Hofmann, Richard J. – 1969
Most responses to educational and psychological test items may be represented in binary form. However, such dichotomously scored items present special problems when an analysis of correlational interrelationships among the items is attempted. Two general methods of analyzing binary data are proposed by Horst to partial out the effects of…
Descriptors: Algorithms, Analysis of Covariance, Cluster Analysis, Cluster Grouping
