IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v48y2014i3p1149-1163.html
   My bibliography  Save this article

An alternative procedure for imputing missing data based on principal components analysis

Author

Listed:
  • Giovanni Di Franco

Abstract

This work entailed tackling the significant problem of missing data which was solved by identifying a new substitution procedure, following an empirical approach based on the analysis of the information contained in the entire set of data collected. This procedures offers a number of advantages compared to other techniques commonly mentioned in the statistical–methodological literature. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Giovanni Di Franco, 2014. "An alternative procedure for imputing missing data based on principal components analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1149-1163, May.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:3:p:1149-1163
    DOI: 10.1007/s11135-013-9826-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11135-013-9826-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11135-013-9826-4?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.

    References listed on IDEAS

    as
    1. Michael G. Akritas & Jouni Kuha & D. Wayne Osgood, 2002. "A Nonparametric Approach to Matched Pairs with Missing Data," Sociological Methods & Research, , vol. 30(3), pages 425-454, February.
    2. Mark Huisman & Boudien Krol & Eric Van Sonderen, 1998. "Handling Missing Data by Re-approaching Non-respondents," Quality & Quantity: International Journal of Methodology, Springer, vol. 32(1), pages 77-91, February.
    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. Antonio Zinilli, 2021. "Imputation methods for estimating public R&D funding: evidence from longitudinal data," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 707-729, April.
    2. Merton S. Krause, 2019. "Randomness is problematic for social science research purposes," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1495-1504, May.

    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. Hani M. Samawi & Robert Vogel, 2014. "Notes on two sample tests for partially correlated (paired) data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(1), pages 109-117, January.
    2. Konietschke, F. & Harrar, S.W. & Lange, K. & Brunner, E., 2012. "Ranking procedures for matched pairs with missing data — Asymptotic theory and a small sample approximation," Computational Statistics & Data Analysis, Elsevier, vol. 56(5), pages 1090-1102.

    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:qualqt:v:48:y:2014:i:3:p:1149-1163. 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: 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.