Analysis of variance on ordinal variables: application to opinion research

S. Bernard, C. Derquenne and P. Oger

Applied Stochastic Models and Data Analysis, 1997, vol. 13, issue 3‐4, 345-355

Abstract: Medical research data are often modelled either by analysis of variance (continuous response variables) or by logistic regression (nominal or ordinal response variables). These methods allow one to eliminate the structural effects among variables which are candidates for an explanation and to measure these effects, other things being equal. Our department applies these methods to opinion surveys. The quality and validity of results are very important because strategic decisions may depend on them. In this paper, we focus on the modelling mechanism and the statistical tests. After, we apply our model on two examples: French nuclear policy and the Maastrich referendum. Lastly, we conclude on two future issues in the domain of logistic analysis. © 1998 John Wiley & Sons, Ltd.

Date: 1997
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https://doi.org/10.1002/(SICI)1099-0747(199709/12)13:3/43.0.CO;2-Y

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:13:y:1997:i:3-4:p:345-355

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