IDEAS home Printed from https://ideas.repec.org/a/gam/jstats/v1y2018i1p1-13d129629.html
   My bibliography  Save this article

A Nonparametric Statistical Approach to Content Analysis of Items

Author

Listed:
  • Diego Marcondes

    (Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, Brazil
    These authors contributed equally to this work.)

  • Nilton Rogerio Marcondes

    (Faculdade de Psicologia e de Ciências da Educação, Universidade de Coimbra, 3000-115 Coimbra, Portugal
    These authors contributed equally to this work.)

Abstract

In order to use psychometric instruments to assess a multidimensional construct, we may decompose it into dimensions and, in order to assess each dimension, develop a set of items, so one may assess the construct as a whole, by assessing its dimensions. In this scenario, content analysis of items aims to verify if the developed items are assessing the dimension they are supposed to by requesting the judgement of specialists in the studied construct about the dimension that the developed items assess. This paper aims to develop a nonparametric statistical approach based on the Cochran’s Q test to analyse the content of items in order to present a practical method to assess the consistency of the content analysis process; this is achieved by the development of a statistical test that seeks to determine if all the specialists have the same capability to judge the items. A simulation study is conducted to check the consistency of the test and it is applied to a real validation process.

Suggested Citation

  • Diego Marcondes & Nilton Rogerio Marcondes, 2018. "A Nonparametric Statistical Approach to Content Analysis of Items," Stats, MDPI, vol. 1(1), pages 1-13, February.
    • Handle: RePEc:gam:jstats:v:1:y:2018:i:1:p:1-13:d:129629
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-905X/1/1/1/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-905X/1/1/1/
    Download Restriction: no
    ---><---

    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:gam:jstats:v:1:y:2018:i:1:p:1-13:d:129629. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.