IDEAS home Printed from https://ideas.repec.org/a/spr/alstar/v94y2010i2p167-184.html
   My bibliography  Save this article

Nonlinear structural equation modeling: is partial least squares an alternative?

Author

Listed:
  • Karin Schermelleh-Engel

    ()

  • Christina Werner
  • Andreas Klein
  • Helfried Moosbrugger

Abstract

No abstract is available for this item.

Suggested Citation

  • Karin Schermelleh-Engel & Christina Werner & Andreas Klein & Helfried Moosbrugger, 2010. "Nonlinear structural equation modeling: is partial least squares an alternative?," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 167-184, June.
  • Handle: RePEc:spr:alstar:v:94:y:2010:i:2:p:167-184
    DOI: 10.1007/s10182-010-0132-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10182-010-0132-3
    Download Restriction: Access to full text is restricted to subscribers.

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

    References listed on IDEAS

    as
    1. TENENHAUS, Michel, 2008. "Component-based structural equation modelling," HEC Research Papers Series 887, HEC Paris.
    2. Kenneth Bollen, 1996. "An alternative two stage least squares (2SLS) estimator for latent variable equations," Psychometrika, Springer;The Psychometric Society, vol. 61(1), pages 109-121, March.
    3. Christian Geiser & Michael Eid & Fridtjof Nussbeck & Delphine Courvoisier & David Cole, 2010. "Multitrait-multimethod change modelling," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 185-201, June.
    4. Andreas Klein & Karin Schermelleh-Engel, 2010. "Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 157-166, June.
    5. Andreas Klein & Helfried Moosbrugger, 2000. "Maximum likelihood estimation of latent interaction effects with the LMS method," Psychometrika, Springer;The Psychometric Society, vol. 65(4), pages 457-474, December.
    6. Jörg Henseler, 2010. "On the convergence of the partial least squares path modeling algorithm," Computational Statistics, Springer, vol. 25(1), pages 107-120, March.
    7. Suzanne Jak & Frans Oort & Conor Dolan, 2010. "Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 129-137, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. M. Barendse & F. Oort & G. Garst, 2010. "Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 117-127, June.
    2. Andreas Klein & Karin Schermelleh-Engel, 2010. "Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(2), pages 157-166, June.

    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:spr:alstar:v:94:y:2010:i:2:p:167-184. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla) or (Rebekah McClure). General contact details of provider: http://www.springer.com .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.