Robert K Vierra
Biographic Data
| ID | 4054112 |
|---|---|
| NAME | Robert K Vierra |
| GIVEN NAMES | Robert K |
| FAMILY NAME | Vierra |
| SIGNATURE | VIERRA R K |
| AFFILIATIONS | Northwestern University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 10 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 1985 |
| H-INDEX | 1 |
Reply to “Errors in Vierra and Carlson's Presentation of Bartlett's Test of Significance
Factor Analysis, Random Data, and Patterned Results
Multivariate statistical techniques such as factor analysis are capable of producing patterned results with most, if not all, data matrices. This paper demonstrates that patterned results are obtainable when principal component analysis is applied to a random data set. It is suggested that Bartlett's test for the statistical significance of a correlation matrix be employed in deciding whether a factor analysis of the matrix is justified
Factor Analysis, Random Data, and Patterned Results
Multivariate statistical techniques such as factor analysis are capable of producing patterned results with most, if not all, data matrices. This paper demonstrates that patterned results are obtainable when principal component analysis is applied to a random data set. It is suggested that Bartlett's test for the statistical significance of a correlation matrix be employed in deciding whether a factor analysis of the matrix is justified
Factor Analysis, Random Data, and Patterned Results
Multivariate statistical techniques such as factor analysis are capable of producing patterned results with most, if not all, data matrices. This paper demonstrates that patterned results are obtainable when principal component analysis is applied to a random data set. It is suggested that Bartlett's test for the statistical significance of a correlation matrix be employed in deciding whether a factor analysis of the matrix is justified
Reply to “Errors in Vierra and Carlson's Presentation of Bartlett's Test of Significance
Mathematics (2 works) · Statistics (2 works) · Bayesian Modeling and Causal Inference (1 works) · Chemistry (1 works) · Computer Science (1 works) · Covariance matrix (1 works) · Data Matrix (1 works) · Data set (1 works) · Factor (programming language) (1 works) · Factor analysis (1 works)