Predicting Multiple Criteria
Comparison of Two Vectors of Regression Coefficients
Bibliographic Data
| ID | 20286802 |
|---|---|
| Authors | Robert G Malgady (New York University), Schuyler W Huck (University of Tennessee at Knoxville) |
| Year | 1978 |
| Volume | 38 |
| Issue | 4 |
| Pages | 869-872 |
| Publication date | 1978-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001316447803800403 |
| OpenAlex | W1983267433 |
| Language | EN |
| References cited | 2 |
The present paper generalizes the t ratio used in testing the difference between two independent regression coefficients to the multivariate case of testing the difference between two vectors of regression coefficients. The generalized statistic is particularly useful when one wishes to determine which of two variables is the best predictor of a number of criterion variables. In addition, simultaneous confidence bounds may be applied at the level of each pairwise difference
Confidence interval · Linear regression · Multivariate statistics · Pairwise comparison · Regression · Regression analysis · Statistic · Statistics · Advanced Statistical Methods and Models · Mathematics
| Citation velocity | historical |
|---|---|
| Highly cited | No |