Evaluating the Importance of Factors in Any Given Order of Factoring
Bibliographic Data
| ID | 19290504 |
|---|---|
| Authors | Lloyd G Humphreys, Ledyard R Tucker, Peter Dachler |
| Year | 1970 |
| Volume | 5 |
| Issue | 2 |
| Pages | 209-215 |
| Publication date | 1970-04-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1207/s15327906mbr0502_8 |
| PMID | 26804803 |
| OpenAlex | W2003966124 |
| Language | EN |
| Citations received | 2 |
| References cited | 6 |
A methodology has been described and illustrated for obtaining an evaluation of the importance of the factors in a particular order of factoring that does not require faotoring beyond that order. For example, one can estimate the intercorrelations of the original measures with the perturbations of the first-order factor held constant or, the reverse, estimate the contribution to the intercorrelations of the originral measures from the first-order factors alone. Similar operations are possible at higher orders
Constant (computer programming) · Econometrics · Economics · Factor (programming language) · Factoring · First order · Order (exchange) · Programming language · Statistics · Applied Mathematics · Computer Science · graph theory and CDMA systems · Mathematics · Matrix Theory and Algorithms · Optimal Experimental Design Methods
| Citations per year | 0.04 |
|---|---|
| Citation span | 1977 - 1999 (23) |
| Highly cited | No |