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
ePrint ID: 34654
Date Deposited: 23 Jan 2008
Last Modified: 27 Mar 2014 18:21
URI: http://eprints.soton.ac.uk/id/eprint/34654

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