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

Vocino, Andrea and Oppewal, H. 2008, Structural equation modelling of complex sample survey : an application to brand signalling data, in EMAC 2008 : Marketing landscapes : a pause for thought : conference proceedings of the 37th EMAC conference held 27-30 May 2008, Brighton, England, University of Brighton, Brighton, England.

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Title Structural equation modelling of complex sample survey : an application to brand signalling data
Author(s) Vocino, Andrea
Oppewal, H.
Conference name European Marketing Academy (37th : 2008 : Brighton, England)
Conference location Brighton, England
Conference dates 27-30 May 2008
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
Editor(s) Perks, Keith
Publication date 2008
Conference series European Marketing Academy Conference
Publisher University of Brighton
Place of publication Brighton, England
Summary 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.
Language eng
Field of Research 150599 Marketing not elsewhere classified
Socio Economic Objective 970115 Expanding Knowledge in Commerce, Management, Tourism and Services
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2008, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30018040

Document type: Conference Paper
Collections: School of Management and Marketing
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.