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Structural equation modelling of complex sample survey : an application to brand signalling data

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conference contribution
posted on 2008-01-01, 00:00 authored by Andrea VocinoAndrea Vocino, H Oppewal
The 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.

History

Event

European Marketing Academy (37th : 2008 : Brighton, England)

Publisher

University of Brighton

Location

Brighton, England

Place of publication

Brighton, England

Start date

2008-05-27

End date

2008-05-30

Language

eng

Publication classification

E1 Full written paper - refereed

Copyright notice

2008, The Authors

Editor/Contributor(s)

K Perks

Title of proceedings

EMAC 2008 : Marketing landscapes : a pause for thought : conference proceedings of the 37th EMAC conference held 27-30 May 2008, Brighton, England

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