IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-95-4318-2_4.html

Levels of Validity and Reliability

In: Social Science Methodologies for Management Research

Author

Listed:
  • Vissanu Zumitzavan

    (Khon Kaen University, College of Local Administration)

Abstract

This chapter offers an in-depth exploration of the foundational concepts of validity and reliability in management research, underpinning their centrality in establishing the credibility and rigour of empirical findings. Through a comparative lens, it delineates the specific criteria and procedures for assessing validity—comprising content, construct, criterion, face, internal, and external validity—and reliability, encompassing test-retest, split-half, inter- and intra-rater reliability. The critical role of the pilot study is emphasised as a pivotal precursor for refining research instruments and methodologies. Sophisticated statistical techniques such as Confirmatory Factor Analysis (CFA) and reliability coefficients—specifically split-half and Cronbach’s Alpha—are scrutinised, with practical illustrations of their application utilising SPSS. The chapter also critically deliberates both the strengths and limitations of these tools, strengthening the necessity for a comprehensive method in scale development. Lastly, it explores the burgeoning integration of Artificial Intelligence, representing how AI-driven validation and computational methods can creatively augment traditional validity and reliability assessments, thereby advancing the robustness and trustworthiness of management research. Mutually, these insights equip researchers with the methodological sophistication required to produce reliable and valid research outcomes.

Suggested Citation

  • Vissanu Zumitzavan, 2025. "Levels of Validity and Reliability," Springer Books, in: Social Science Methodologies for Management Research, chapter 0, pages 41-64, Springer.
    • Handle: RePEc:spr:sprchp:978-981-95-4318-2_4
    DOI: 10.1007/978-981-95-4318-2_4
    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

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:978-981-95-4318-2_4. 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.