IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v77y2021i1p258-270.html
   My bibliography  Save this article

Generalized reliability based on distances

Author

Listed:
  • Meng Xu
  • Philip T. Reiss
  • Ivor Cribben

Abstract

The intraclass correlation coefficient (ICC) is a classical index of measurement reliability. With the advent of new and complex types of data for which the ICC is not defined, there is a need for new ways to assess reliability. To meet this need, we propose a new distance‐based ICC (dbICC), defined in terms of arbitrary distances among observations. We introduce a bias correction to improve the coverage of bootstrap confidence intervals for the dbICC, and demonstrate its efficacy via simulation. We illustrate the proposed method by analyzing the test‐retest reliability of brain connectivity matrices derived from a set of repeated functional magnetic resonance imaging scans. The Spearman‐Brown formula, which shows how more intensive measurement increases reliability, is extended to encompass the dbICC.

Suggested Citation

  • Meng Xu & Philip T. Reiss & Ivor Cribben, 2021. "Generalized reliability based on distances," Biometrics, The International Biometric Society, vol. 77(1), pages 258-270, March.
    • Handle: RePEc:bla:biomet:v:77:y:2021:i:1:p:258-270
    DOI: 10.1111/biom.13287
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/biom.13287
    Download Restriction: no
    File URL: https://libkey.io/10.1111/biom.13287?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
    ---><---

    References listed on IDEAS

    as
    1. Philip T. Reiss & M. Henry H. Stevens & Zarrar Shehzad & Eva Petkova & Michael P. Milham, 2010. "On Distance-Based Permutation Tests for Between-Group Comparisons," Biometrics, The International Biometric Society, vol. 66(2), pages 636-643, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wen-Yu Hua & Debashis Ghosh, 2015. "Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies," Biometrics, The International Biometric Society, vol. 71(3), pages 812-820, September.
    2. Huaihou Chen & Philip T. Reiss & Thaddeus Tarpey, 2014. "Optimally weighted L-super-2 distance for functional data," Biometrics, The International Biometric Society, vol. 70(3), pages 516-525, September.
    3. David I. Warton, 2018. "Why you cannot transform your way out of trouble for small counts," Biometrics, The International Biometric Society, vol. 74(1), pages 362-368, March.
    4. Jun Li & Jifei Ban & Louis S. Santiago, 2011. "Nonparametric Tests for Homogeneity of Species Assemblages: A Data Depth Approach," Biometrics, The International Biometric Society, vol. 67(4), pages 1481-1488, December.
    5. Rathke, Alex A.T. & Rezende, Amaury J. & Watrin, Christoph, 2020. "Classification of transfer pricing systems across countries," International Economics, Elsevier, vol. 164(C), pages 151-167.

    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:bla:biomet:v:77:y:2021:i:1:p:258-270. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.