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Regression estimation and post-stratification in factor analysis

Regression estimation and post-stratification in factor analysis
Regression estimation and post-stratification in factor analysis
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.
0033-3123
347-356
Skinner, C.J.
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce
Skinner, C.J.
dec5ef40-49ef-492a-8a1d-eb8c6315b8ce

Skinner, C.J. (1986) Regression estimation and post-stratification in factor analysis. Psychometrika, 51 (3), 347-356. (doi:10.1007/BF02294059).

Record type: Article

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.

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Published date: September 1986

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Local EPrints ID: 34654
URI: http://eprints.soton.ac.uk/id/eprint/34654
ISSN: 0033-3123
PURE UUID: 125a7202-8ed2-44db-87ad-a9653a5d5867

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Date deposited: 23 Jan 2008
Last modified: 15 Mar 2024 07:48

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Author: C.J. Skinner

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