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The Stability of Individual Response Styles

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Author Info
B. WEIJTERS
M. GEUENS ()
N. SCHILLEWAERT

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Abstract

The 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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Publisher Info
Paper 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.

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Length: 54 pages
Date of creation: Dec 2008
Date of revision:
Handle: RePEc:rug:rugwps:08/547

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer, vol. 58(4), pages 525-543, December. [Downloadable!] (restricted)
  2. 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. [Downloadable!]
  3. Pham, Michel Tuan & Avnet, Tamar, 2004. " Ideals and Oughts and the Reliance on Affect versus Substance in Persuasion," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 30(4), pages 503-18, March.
  4. Ledyard Tucker & Charles Lewis, 1973. "A reliability coefficient for maximum likelihood factor analysis," Psychometrika, Springer, vol. 38(1), pages 1-10, March. [Downloadable!] (restricted)
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