1,721,010 research outputs found
Replication Data for: Mechanical Turk and the "Don't Know" Option
No full textLuskin and Bullock’s (2011) randomized experiment on live-interview respondents found no evidence that ANES or TESS respondents hide knowledge behind the “don’t know” option (DK). We successfully replicate their finding using two online platforms, the Cooperative Congressional Election Study (CCES) and Google Surveys (GS). However, we obtain different results on Amazon’s Mechanical Turk (MTurk). We attribute this difference to MTurkers’ experience with attention checks and other quality control mechanisms, which condition them to avoid errors. This conditioning leads MTurkers to hide knowledge behind DK in ways not observed on other platforms. Researchers conducting political knowledge experiments on MTurk or piloting surveys on MTurk should take note of these differences
Does Issue Importance Attenuate Partisan Cue-Taking?
No full textcopy directly from abstract in PSRM publicationAre cues from party leaders so important that they can cause individuals to change their own issue positions to align with the party’s position? Recent work on the importance of party cues suggests they do, especially given the literature on partisanship as a strong and persistent group identity. However, in this paper we test the limits of those partisan cues. Using a unique two-wave panel survey design we find that the effect of party cues is moderated by the prior level of importance individuals place on an issue. We find that when a person believes an issue area to be more important, party cues are less likely to move that citizen’s position, particularly when the cue goes against partisan ideological norms. Our results show evidence that an individual’s own issue positions—at least the important ones—can be resilient in the face of party cues
Replication Data for: "Does Issue Importance Attenuate Partisan Cue-Taking?"
No full textThis set of files creates the figures (using the file "Barber_Pope_PSRM_Figures.R" and the tables (using the file "Barber_Pope_PSRM_Tables.do") for the article published in PSRM
Replication Data for: Father Founders: Did Child Gender Affect Voting at the Constitutional Convention?
No full textHow did child gender affect deliberations and voting at the 1787 U.S. Constitutional Convention? Though recent scholarship has found profound and far reaching influence of child gender upon the beliefs and behavior of modern parents, there is no reason to believe that this is only an important consideration in the present. Leveraging the natural experiment of child gender, we test whether the gender of a delegate’s children influenced his voting. We hypothesize that fathers of sons would favor creating a strong national government because they could more easily envision their sons holding places in the emergent empire (especially younger sons). Using new data on delegates’ children, we find statistically and substantively significant results: having sons indeed predicts delegates’ favoring a stronger, centralized national government (with daughters showing an opposite effect). These differences are sufficiently large to have likely affected the Convention’s proceedings and therefore the U.S. Constitution
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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