A Nonparametric Statistical Approach to Content Analysis of Items

Diego Marcondes and Nilton Rogerio Marcondes
Additional contact information
Diego Marcondes: Instituto de Matemática e Estatística, Universidade de São Paulo, São Paulo 05508-090, Brazil
Nilton Rogerio Marcondes: Faculdade de Psicologia e de Ciências da Educação, Universidade de Coimbra, 3000-115 Coimbra, Portugal

Stats, 2018, vol. 1, issue 1, 1-13

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.

Keywords: nonparametric statistics; applied statistics; content validity; psychometric instruments; psychometrics (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2571-905X/1/1/1/pdf (application/pdf)
https://www.mdpi.com/2571-905X/1/1/1/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jstats:v:1:y:2018:i:1:p:1-13:d:129629

Access Statistics for this article

Stats is currently edited by Mrs. Minnie Li

More articles in Stats from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().