Table of Contents

Stats, Volume 1, Issue 1 (June 2018)

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Research

Open AccessFeature PaperArticle A Nonparametric Statistical Approach to Content Analysis of Items
Stats 2018, 1(1), 1; doi:10.3390/stats1010001
Received: 6 December 2017 / Revised: 23 January 2018 / Accepted: 25 January 2018 / Published: 1 February 2018
PDF Full-text (273 KB) | HTML Full-text | XML Full-text | Supplementary Files
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
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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. Full article
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