33,315 research outputs found

    sj-pdf-2-psw-10.1177_14789299211058543 – for When “Don’t Know” Indicates Nonignorable Missingness: Using the Estimation of Political Knowledge as an Example

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    sj-pdf-2-psw-10.1177_14789299211058543 for When “Don’t Know” Indicates Nonignorable Missingness: Using the Estimation of Political Knowledge as an Example by Tsung-Han Tsai in Political Studies Review</p

    sj-pdf-3-psw-10.1177_14789299211058543 – for When “Don’t Know” Indicates Nonignorable Missingness: Using the Estimation of Political Knowledge as an Example

    No full text
    sj-pdf-3-psw-10.1177_14789299211058543 for When “Don’t Know” Indicates Nonignorable Missingness: Using the Estimation of Political Knowledge as an Example by Tsung-Han Tsai in Political Studies Review</p

    sj-pdf-1-psw-10.1177_14789299211058543 – for When “Don’t Know” Indicates Nonignorable Missingness: Using the Estimation of Political Knowledge as an Example

    No full text
    sj-pdf-1-psw-10.1177_14789299211058543 for When “Don’t Know” Indicates Nonignorable Missingness: Using the Estimation of Political Knowledge as an Example by Tsung-Han Tsai in Political Studies Review</p

    sj-docx-1-psw-10.1177_1478929920904588.pdf – Supplemental material for The Influence of the President and Government Coalition on Roll-Call Voting in Brazil, 2003–2006

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    Supplemental material, sj-docx-1-psw-10.1177_1478929920904588.pdf for The Influence of the President and Government Coalition on Roll-Call Voting in Brazil, 2003–2006 by Tsung-han Tsai in Political Studies Review</p

    A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables

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    Whether democratic and nondemocratic regimes perform differently in social provision policy is an important issue to social scientists and policy makers. Since political regimes are rarely changing, their long-term or dynamic effects on the outcome are of concern to researchers when they evaluate how political regimes affect social policy. However, estimating the dynamic effects of rarely changing variables in the analysis of time-series cross-sectional (TSCS) data by conventional estimators may be problematic when the unit effects are included in the model specification. This article proposes a model to account for and estimate the correlation between the unit effects and explanatory variables. Applying the proposed model to 18 Latin American countries, this article finds evidence that democracy has a positive effect on social spending both in the short and long term

    A Bayesian Approach to Dynamic Panel Models with Endogenous Rarely Changing Variables

    No full text
    Whether democratic and nondemocratic regimes perform differently in social provision policy is an important issue to social scientists and policy makers. Since political regimes are rarely changing, their long-term or dynamic effects on the outcome are of concern to researchers when they evaluate how political regimes affect social policy. However, estimating the dynamic effects of rarely changing variables in the analysis of time-series cross-sectional (TSCS) data by conventional estimators may be problematic when the unit effects are included in the model specification. This article proposes a model to account for and estimate the correlation between the unit effects and explanatory variables. Applying the proposed model to 18 Latin American countries, this article finds evidence that democracy has a positive effect on social spending both in the short and long term

    Replication Data for: Modeling Guessing Components in the Measurement of Political Knowledge

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    Due to the crucial role of political knowledge in democratic participation, the measurement of political knowledge has been a major concern in the discipline of political science. Common formats used for political knowledge questions include multiple-choice items and open-ended identification questions. The conventional wisdom holds that multiple-choice items induce guessing behavior, which leads to underestimated item-difficulty parameters and biased estimates of political knowledge. This article examines guessing behavior in multiple-choice items and argues that a successful guess requires certain levels of knowledge conditional on the difficulties of items. To deal with this issue, we propose a Bayesian IRT guessing model that accommodates the guessing components of item responses. The proposed model is applied to analyzing survey data in Taiwan, and the results show that the proposed model appropriately describes the guessing components based on respondents' levels of political knowledge and item characteristics. That is, in general, partially informed respondents are more likely to have a successful guess because well-informed respondents do not need to guess and barely informed ones are highly seducible by the attractive distractors. We also examine the gender gap in political knowledge and find that, even when the guessing effect is accounted for, men are more knowledgeable than women about political affairs, which is consistent with the literature

    Replication Data for: Modeling Guessing Components in the Measurement of Political Knowledge

    No full text
    Due to the crucial role of political knowledge in democratic participation, the measurement of political knowledge has been a major concern in the discipline of political science. Common formats used for political knowledge questions include multiple-choice items and open-ended identification questions. The conventional wisdom holds that multiple-choice items induce guessing behavior, which leads to underestimated item-difficulty parameters and biased estimates of political knowledge. This article examines guessing behavior in multiple-choice items and argues that a successful guess requires certain levels of knowledge conditional on the difficulties of items. To deal with this issue, we propose a Bayesian IRT guessing model that accommodates the guessing components of item responses. The proposed model is applied to analyzing survey data in Taiwan, and the results show that the proposed model appropriately describes the guessing components based on respondents' levels of political knowledge and item characteristics. That is, in general, partially informed respondents are more likely to have a successful guess because well-informed respondents do not need to guess and barely informed ones are highly seducible by the attractive distractors. We also examine the gender gap in political knowledge and find that, even when the guessing effect is accounted for, men are more knowledgeable than women about political affairs, which is consistent with the literature

    Improvement on thermal performance of a disk-shaped miniature heat pipe with nanofluid

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    Abstract The present study aims to investigate the effect of suspended nanoparticles in base fluids, namely nanofluids, on the thermal resistance of a disk-shaped miniature heat pipe [DMHP]. In this study, two types of nanoparticles, gold and carbon, in aqueous solution are used respectively. An experimental system was set up to measure the thermal resistance of the DMHP with both nanofluids and deionized [DI] water as the working medium. The measured results show that the thermal resistance of DMHP varies with the charge volume and the type of working medium. At the same charge volume, a significant reduction in thermal resistance of DMHP can be found if nanofluid is used instead of DI water.</jats:p
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