Descriptor
| Computer Programs | 68 |
| Matrices | 68 |
| Statistical Analysis | 30 |
| Correlation | 18 |
| Factor Analysis | 17 |
| Mathematical Models | 12 |
| Statistical Significance | 10 |
| Algorithms | 9 |
| Analysis of Variance | 9 |
| Data Analysis | 9 |
| Goodness of Fit | 9 |
| More ▼ | |
Source
Author
Publication Type
| Reports - Research | 14 |
| Journal Articles | 8 |
| Reports - Descriptive | 6 |
| Guides - Classroom - Learner | 3 |
| Speeches/Meeting Papers | 3 |
| Non-Print Media | 2 |
| Guides - General | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Stanford Binet Intelligence… | 1 |
What Works Clearinghouse Rating
Peer reviewedJaspen, Nathan – Educational and Psychological Measurement, 1975
A method is presented of calculating correlation matrices using single subscript rather than double subscript notation. This saves time and space, and permits the calculation of larger matrices in the space available. (Author)
Descriptors: Computer Programs, Correlation, Matrices
Peer reviewedWherry, Robert J.; Schriesheim, Chester A. – Educational and Psychological Measurement, 1975
Descriptors: Computer Programs, Matrices, Stimuli
Peer reviewedDreger, Ralph Mason – Educational and Psychological Measurement, 1976
A microcomputer program using a tape unit for multiplying two matrices as large as 41 x 42 apiece is presented. Advantages and limitations are discussed. A verbal description of the logic is presented to facilitate the use of the program on different brands of computers. (Author/JKS)
Descriptors: Computer Programs, Matrices, Microcomputers
Peer reviewedMardberg, Bertil – Educational and Psychological Measurement, 1975
Descriptors: Cluster Analysis, Computer Programs, Matrices
Peer reviewedMontanelli, Richard G. – Educational and Psychological Measurement, 1975
Descriptors: Computer Programs, Correlation, Matrices, Sampling
Peer reviewedKoch, Valerie L. – Educational and Psychological Measurement, 1976
A Fortran V program is described derived for the Univac 1100 Series Computer for clustering into hierarchical structures large matrices, up to 1000 x 1000 and larger, of interassociations between objects. (RC)
Descriptors: Cluster Grouping, Computer Programs, Matrices
Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1975
The program can compute a great number of different correlation and other statistical measures. The user is free to select among the measures and also among the variables that are read by the program. When a particular set of variables has been treated in the prescribed way, a new set may follow together with new measure definitions. (Author)
Descriptors: Computer Programs, Correlation, Matrices, Statistical Analysis
Peer reviewedKaiser, Henry F. – Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Factor Analysis, Matrices, Multivariate Analysis
Peer reviewedBrennan, Jerry – Educational and Psychological Measurement, 1978
A computer program to compare factor matrices which have at least some variables in common is described. The program calculates both the salient variable similarity index and the congruence coefficient. There are no limits for the number of variables or factors in either matrix. (Author/JKS)
Descriptors: Comparative Analysis, Computer Programs, Factor Analysis, Matrices
Peer reviewedSerlin, Ronald C.; Kaiser, Henry F. – Educational and Psychological Measurement, 1976
Internal consistency as one rationale for item selection from the unverse of possible test items is discussed and formulae are presented which relate the maximum internal consistency of a test to the largest eigenvalue of the interitem correlation matrix. A computer program to perform these calculations is presented. (Author/JKS)
Descriptors: Computer Programs, Item Sampling, Matrices, Test Construction
Peer reviewedHubert, L. J.; Golledge, R. G. – Psychometrika, 1981
A recursive dynamic programing strategy for reorganizing the rows and columns of square proximity matrices is discussed. The strategy is used when the objective function measuring the adequacy of the reorganization has a fairly simple additive structure. (Author/JKS)
Descriptors: Computer Programs, Mathematical Models, Matrices, Statistical Analysis
Peer reviewedRacioppo, Vincent; And Others – Educational and Psychological Measurement, 1975
This paper presents a revised and updated version of a FORTRAN program which computes all indices used in the Flanders' Interaction Matrix. The new program has added another form of data input which simplifies data entry. The new version also has the capability of interactive terminal use. (Author)
Descriptors: Computer Programs, Data Analysis, Interaction, Matrices
Peer reviewedKruskal, Joseph B.; Shepard, Roger N. – Psychometrika, 1974
Descriptors: Comparative Analysis, Computer Programs, Factor Analysis, Matrices
Peer reviewedJackson, Douglas N.; Skinner, Harvey A. – Educational and Psychological Measurement, 1975
Univocal varimax is an orthogonal factor rotation strategy aimed at improving upon the simple structure qualities of a preliminary varimax solution. This is accomplished by targetting for patterned rotation the highest element in each row of the varimax factor loading matrix. (Author)
Descriptors: Computer Programs, Factor Analysis, Input Output, Matrices
Peer reviewedZenisek, Thomas J. – Educational and Psychological Measurement, 1978
A FORTRAN computer program was derived for an IBM series 360/370 computer system that provides a factor analytic solution for large three-dimensional data matrices. The computational procedures employed are based upon those presented in Method III by Tucker. (Author/JKS)
Descriptors: Computer Programs, Factor Analysis, Matrices, Multidimensional Scaling


