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    Title: When “Don’t Know” Indicates Nonignorable Missingness: Using the Estimation of Political Knowledge as an Example
    Authors: 蔡宗漢
    Tsai, Tsung-han
    Contributors: 政治系
    Keywords: political knowledge;nonignorable missingness;missing not at random;item response theory;Bayesian methods
    Date: 2022-01
    Issue Date: 2022-07-05 16:35:52 (UTC+8)
    Abstract: The conventional procedure for measuring political knowledge is treating nonresponses such as “don’t know” as incorrect responses and counting the number of “correct” responses. In recent times, increasing attention has been paid to partial knowledge hidden within incorrect and nonresponses. This article explores partial knowledge indicated by incorrect and nonresponses and considers nonresponses as nonignorable missingness. We propose a model that combines the shared-parameter approach presented in the literature on missing data mechanisms and the methods of item response theory. We show that the proposed model can determine whether the people with nonresponses should be treated as more or less knowledgeable and detect whether it is appropriate to pool nonresponses and incorrect responses into the same category. Furthermore, we find partial knowledge hidden within women’s nonresponses, which confirms the possibility of the exaggeration of the gender gap in political knowledge.
    Relation: Political Studies Review, pp.1-22
    Data Type: article
    DOI link: https://doi.org/10.1177/14789299211058543
    DOI: 10.1177/14789299211058543
    Appears in Collections:[Department of Political Science] Periodical Articles

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