Vincent H Swoyer
Biographic Data
| ID | 5181955 |
|---|---|
| NAME | Vincent H Swoyer |
| GIVEN NAMES | Vincent H |
| FAMILY NAME | Swoyer |
| SIGNATURE | SWOYER V H |
| AFFILIATIONS | University of Rochester |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1967 |
| LATEST PUBLICATION YEAR | 1967 |
| H-INDEX | 1 |
Some Empirical Results Concerning the Power of Bartlett’s Test of the Significance of a Correlation Matrix
Before carrying out a factor analysis of sample data, the investigator should check the sample correlation matrix to see if it is significantly different from the identity matrix, i.e. to test whether or not the off-diagonal correlation coefficients are chance differences from zero. Fortunately an appropriate test exists in the literature, and is due to Bartlett (1950). It can also be found in multivariate texts by Anderson (1958) and Kendall (19…
Some Empirical Results concerning the Power of Bartlett's Test of the Significance of a Correlation Matrix
Some Empirical Results Concerning the Power of Bartlett’s Test of the Significance of a Correlation Matrix
Before carrying out a factor analysis of sample data, the investigator should check the sample correlation matrix to see if it is significantly different from the identity matrix, i.e. to test whether or not the off-diagonal correlation coefficients are chance differences from zero. Fortunately an appropriate test exists in the literature, and is due to Bartlett (1950). It can also be found in multivariate texts by Anderson (1958) and Kendall (19…
Some Empirical Results Concerning the Power of Bartlett’s Test of the Significance of a Correlation Matrix
Before carrying out a factor analysis of sample data, the investigator should check the sample correlation matrix to see if it is significantly different from the identity matrix, i.e. to test whether or not the off-diagonal correlation coefficients are chance differences from zero. Fortunately an appropriate test exists in the literature, and is due to Bartlett (1950). It can also be found in multivariate texts by Anderson (1958) and Kendall (19…
Some Empirical Results concerning the Power of Bartlett's Test of the Significance of a Correlation Matrix
Advanced Statistical Methods and Models (2 works) · Correlation (2 works) · Covariance matrix (2 works) · Econometrics (2 works) · Empirical research (2 works) · Mathematics (2 works) · Matrix (chemical analysis (2 works) · Physics (2 works) · Power (physics (2 works) · Psychology (2 works)