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Question order effects in partial least squares path modelling: an empirical investigation

Author

Listed:
  • Jan Hendrik Schreier

    (University of Bamberg)

  • Niels Biethahn

    (Institut für Automobil Forschung)

  • Frank Drewes

    (Harris Interactive AG)

Abstract

Effects of question order in surveys have been extensively researched. In the light of partial least squares path modeling, only few studies exist. In this study we analyze effects of question order with data from two waves of an annual satisfaction study. The positioning of area satisfaction questions and randomized attribute satisfaction questions was changed between the two waves. Results confirm previously described positive effects on explained variance if area satisfaction is asked after attribute satisfaction. This increase in explained variance in area performance does not lead to an improved model performance in explaining overall satisfaction.

Suggested Citation

  • Jan Hendrik Schreier & Niels Biethahn & Frank Drewes, 2018. "Question order effects in partial least squares path modelling: an empirical investigation," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 71-84, January.
  • Handle: RePEc:spr:qualqt:v:52:y:2018:i:1:d:10.1007_s11135-017-0515-6
    DOI: 10.1007/s11135-017-0515-6
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    References listed on IDEAS

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    1. Wolfgang Ulaga & Andreas Eggert, 2006. "Value-Based Differentiation in Business Relationships: Gaining and Sustaining Key Supplier Status," Post-Print hal-00482456, HAL.
    2. Seth Kaplan & Joseph Luchman & Landon Mock, 2013. "General and Specific Question Sequence Effects in Satisfaction Surveys: Integrating Directional and Correlational Effects," Journal of Happiness Studies, Springer, vol. 14(5), pages 1443-1458, October.
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