Descriptor
Author
| Carlson, James E. | 1 |
| Cerny, Barbara A. | 1 |
| Frankiewicz, Ronald G. | 1 |
| Kaiser, Henry F. | 1 |
| Karpman, Mitchell B. | 1 |
| Schnittjer, Carl J. | 1 |
| Showalter, Benjamin L. | 1 |
| Thompson, Bruce | 1 |
| Timm, Neil H. | 1 |
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| Journal Articles | 2 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
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Peer reviewedSchnittjer, Carl J.; Showalter, Benjamin L. – Educational and Psychological Measurement, 1976
Designed to provide comparative analyses which could be employed as a basis for judicious program selection and use of generally available canonical correlation computer programs. (RC)
Descriptors: Comparative Analysis, Computer Programs, Correlation, Multivariate Analysis
Peer reviewedKarpman, Mitchell B. – Educational and Psychological Measurement, 1983
This paper explains how a major statistical package (BMDP) can be used to produce partial, semipartial, or bipartial set correlation in terms of a procedure outlined by Karpman (1980). (BW)
Descriptors: Computer Programs, Correlation, Mathematical Models, Multivariate Analysis
Peer reviewedCerny, Barbara A.; Kaiser, Henry F. – Educational and Psychological Measurement, 1978
This note described a FORTRAN IV, CDC, computer program for the canonical analysis of a two-way contingency table. (Author)
Descriptors: Computer Programs, Correlation, Multivariate Analysis, Nonparametric Statistics
Peer reviewedThompson, Bruce; Frankiewicz, Ronald G. – Educational and Psychological Measurement, 1979
An overview of several statistics useful in interpreting variates constructed by using canonical correlation analysis is presented. A computer program which calculates coefficients not typically provided by computer packages is discussed. An illustrative example of the output is provided. (Author/JKS)
Descriptors: Computer Programs, Correlation, Multivariate Analysis, Program Descriptions
Download full textTimm, Neil H.; Carlson, James E. – 1975
Part and bi-partial canonical correlations were developed by extending the definitions of part and bi-partial correlation to sets of variates. These coefficients may be used to help researchers explore relationships which exist among several sets of normally distributed variates. (Author)
Descriptors: Computer Programs, Correlation, Data Analysis, Hypothesis Testing
