IDEAS home Printed from https://ideas.repec.org/a/taf/tjisxx/v21y2012i1p99-112.html
   My bibliography  Save this article

Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling

Author

Listed:
  • Jörg Henseler
  • Georg Fassott
  • Theo K Dijkstra
  • Bradley Wilson

Abstract

Together with the development of information systems research, there has also been increased interest in non-linear relationships between focal constructs. This article presents six Partial Least Squares-based approaches for estimating formative constructs’ quadratic effects. In addition, these approaches’ performance is tested by means of a complex Monte Carlo experiment. The experiment reveals significant and substantial differences between the approaches. In general, the performance of the hybrid approach as suggested by Wold (1982) is most convincing in terms of point estimate accuracy, statistical power, and prediction accuracy. The two-stage approach suggested by Chin et al (1996) showed almost the same performance; differences between it and the hybrid approach – although statistically significant – were unsubstantial. Based on these results, the article provides guidelines for the analysis of non-linear effects by means of variance-based structural equation modelling.

Suggested Citation

  • Jörg Henseler & Georg Fassott & Theo K Dijkstra & Bradley Wilson, 2012. "Analysing quadratic effects of formative constructs by means of variance-based structural equation modelling," European Journal of Information Systems, Taylor & Francis Journals, vol. 21(1), pages 99-112, January.
    • Handle: RePEc:taf:tjisxx:v:21:y:2012:i:1:p:99-112
    DOI: 10.1057/ejis.2011.36
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/ejis.2011.36
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/ejis.2011.36?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. A. F. Salam & Hua Dai & Lei Wang, 2022. "Online Users’ Identity Theft and Coping Strategies, Attribution and Sense of Urgency: A Non-Linear Quadratic Effect Assessment," Information Systems Frontiers, Springer, vol. 24(6), pages 1929-1948, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tjisxx:v:21:y:2012:i:1:p:99-112. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjis .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.