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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EMAC 2008 : Marketing landscapes : a pause for thought : conference proceedings of the 37th EMAC conference held 27-30 May 2008, Brighton, England
European Marketing Academy Conference
University of Brighton
Place of publication
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.
Field of Research
150599 Marketing not elsewhere classified
Socio Economic Objective
970115 Expanding Knowledge in Commerce, Management, Tourism and Services
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