The Stability of Individual Response Styles
AbstractThe current study addresses the stability of individual response styles. In contrast with previous studies, we set up a dedicated data collection, where the same respondents filled out two questionnaires consisting of independent sets of randomly sampled questionnaire items. Between data collections, there was a one year time gap. We simultaneously model four response styles that capture the major directional biases in questionnaire responses: acquiescence, disacquiescence, midpoint and extreme response style. The results provide conclusive evidence that response styles have an important stable component, only a small part of which can be explained by demographics. The meaning and implications of these findings are discussed.
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Bibliographic InfoPaper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number 08/547.
Length: 54 pages
Date of creation: Dec 2008
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-04-05 (All new papers)
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- Elisabeth Deutskens & Ko de Ruyter & Martin Wetzels & Paul Oosterveld, 2004. "Response Rate and Response Quality of Internet-Based Surveys: An Experimental Study," Marketing Letters, Springer, vol. 15(1), pages 21-36, 02.
- Pham, Michel Tuan & Avnet, Tamar, 2004. " Ideals and Oughts and the Reliance on Affect versus Substance in Persuasion," Journal of Consumer Research, University of Chicago Press, vol. 30(4), pages 503-18, March.
- William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer, vol. 58(4), pages 525-543, December.
- Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer, vol. 38(1), pages 1-10, March.
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