vocino-structuralequationmodelling-2008.pdf (432.08 kB)
Structural equation modelling of complex sample survey : an application to brand signalling data
conference contribution
posted on 2008-01-01, 00:00 authored by Andrea VocinoAndrea Vocino, H OppewalThe purpose of this paper is to present an empirical analysis of complex sample data with regard to the biasing effect of nonindependence of observations on standard error parameter estimates. In a two-factor confirmatory factor analysis model, using real data, we show how the bias in standard errors can be derived when the nonindependence is ignored. We demonstrate that the standard error bias produced by the nonindependence of observations can be considerable and we briefly discuss solutions to overcome the problem.
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Event
European Marketing Academy (37th : 2008 : Brighton, England)Publisher
University of BrightonLocation
Brighton, EnglandPlace of publication
Brighton, EnglandStart date
2008-05-27End date
2008-05-30Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2008, The AuthorsEditor/Contributor(s)
K PerksTitle of proceedings
EMAC 2008 : Marketing landscapes : a pause for thought : conference proceedings of the 37th EMAC conference held 27-30 May 2008, Brighton, EnglandUsage metrics
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