IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-37772-3_8.html
   My bibliography  Save this book chapter

Demystifying Prediction in Mediation Research and the Use of Specific Indirect Effects and Indirect Effect Sizes

In: Partial Least Squares Path Modeling

Author

Listed:
  • James Gaskin

    (Brigham Young University)

  • Samuel Ogbeibu

    (University of Bradford)

  • Paul Benjamin Lowry

    (Virginia Tech)

Abstract

The maturing state of partial least squares structural equation modeling (PLS-SEMPartial Least Squares (PLS)structural equation model (PLS-SEM)) research has seen exceptional knowledge advances over the past decade. However, advances in practice among lay researchers have advanced at a slower pace. We conclude that this gap between PLS-SEMPartial Least Squares (PLS)structural equation model (PLS-SEM) research and practice may be attributed to the sophisticated and arcane approach to detailing new methodological advances. Moreover, prediction has been a peripheral topic in PLS-SEMPartial Least Squares (PLS)structural equation model (PLS-SEM) mediation literature to date. This chapter sits at the intersection of these two gaps. We first seek to advance understanding of the intertwining roles of prediction and mediation. We then provide practical demonstrations of two particularly occluded topics in mediation research: specific indirectSpecific indirect effects effectsIndirect effects and indirectIndirect effect sizes effectIndirect effect sizes sizesEffect sizes.

Suggested Citation

  • James Gaskin & Samuel Ogbeibu & Paul Benjamin Lowry, 2023. "Demystifying Prediction in Mediation Research and the Use of Specific Indirect Effects and Indirect Effect Sizes," Springer Books, in: Hengky Latan & Joseph F. Hair, Jr. & Richard Noonan (ed.), Partial Least Squares Path Modeling, edition 2, chapter 0, pages 209-228, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-37772-3_8
    DOI: 10.1007/978-3-031-37772-3_8
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-031-37772-3_8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.