Regression estimation and post-stratification in factor analysis
Skinner, C.J. (1986) Regression estimation and post-stratification in factor analysis. Psychometrika, 51, (3), 347-356. (doi:10.1007/BF02294059).
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Original Publication URL: http://dx.doi.org/10.1007/BF02294059
Description/Abstract
Regression estimation and poststratification are methods used in survey sampling to estimate a population mean, when additional information is available for some auxiliary variables. The extension of these methods to factor analysis is considered. These methods may be used either to improve the efficiency of estimation or to adjust for the effects of nonrandom selection. The estimation procedure may be formulated in a LISREL framework.
| Item Type: | Article |
|---|---|
| ISSNs: | 0033-3123 (print) |
| Related URLs: | |
| Subjects: | H Social Sciences > H Social Sciences (General) |
| Divisions: | University Structure - Pre August 2011 > School of Social Sciences > Social Statistics |
| Item ID: | 34654 |
| Date Deposited: | 23 Jan 2008 |
| Last Modified: | 01 Jun 2011 11:39 |
| Contributors: | Skinner, C.J. (Author) |
| Date: | September 1986 |
| Status: | Published |
| URI: | http://eprints.soton.ac.uk/id/eprint/34654 |
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