1,720,975 research outputs found

    Replication Data for: "Be Explicit: Identifying and Addressing Misaligned Goals in Collaborative Research Teams"

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    The misalignment of goals between researchers, external organizational partners (OPs), and study participants is thought to pose a challenge to the successful implementation of collaborative research projects. However, the goals of different collaborative team members are almost never elicited, making identification of misalignment and its potential consequences a difficult task. In my evaluation of a United Nations Nonviolent Communication Program conducted in Bangladesh, the Maldives, and Sri Lanka, I collected qualitative and quantitative data on OP and study participants’ expected program impacts. I find that there are differences in OP and participant goals, and that misalignment appears to bear some responsibility for participant dissatisfaction with the program. I also observe some evidence that as the program progressed, participants’ expected program impacts began to more closely approximate those of the OP. I conclude with some thoughts on the benefits of explicitly measuring research team goals and expectations and addressing their misalignment

    Replication Data for: If They Endorse It, I Can't Trust It: How Outgroup Leader Endorsements Undercut Public Support for Civil War Peace Settlements

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    Civil wars are a greater source of violence than any other type of conflict, yet little is known about one of the key determinants of civil war peace settlement success: civilian support. We evaluate how a core component of nearly all peace settlements, leader endorsements, affect public support. We predict that individuals in conflict settings will view settlements endorsed by out-group leaders as less trustworthy and that they will become less supportive. We conduct an endorsement experiment with nearly 1,000 respondents in South Sudan in 2016, taking advantage of a brief cessation in a devastating civil war. Public support for a tentative settlement drops precipitously when it is endorsed by an out-group leader but does not increase when it is endorsed by an in-group leader. We find suggestive evidence that effects are strongest for individuals with the greatest reason to fear out-group leaders: those whose communities were targeted most violently by that out-group

    Replication Data for: Does Political Affirmative Action Work, and for Whom? Theory and Evidence on India's Scheduled Areas

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    Does political affirmative action undermine or promote development? We present the first systematic analysis of Scheduled Areas in India, home to 100 million, where local political office is reserved for the historically disadvantaged Scheduled Tribes. A newly constructed dataset of 217,000 villages allows us to probe conflicting hypotheses on the implementation of the world's largest workfare program, the National Rural Employment Guarantee Scheme. We find that reservations deliver no worse overall outcomes, that there are large gains for targeted minorities, and that these gains come at the cost of the relatively privileged, not other minorities. We also find improvements in other pro-poor programs, including a rural roads program and general public goods. Reservations more closely align benefits to each group’s population share, allaying concerns of overcompensation for inequalities. Contrary to the expectations of skeptics, results indicate that affirmative action can redistribute both political and economic power without hindering overall development

    Replication Data for: Pork versus Policy: Experimental Evidence on Majoritarian Bargaining with Real-World Consequences

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    Pork-barrel politics has long attracted controversy; difficult to prove and vigorously denied by those accused of it, the practice is nevertheless defended by others who argue that pork facilitates compromise. We design a novel field-in-the-lab experiment to study how legislators bargain over pork and real-world policy. We first introduce a new incentivized method to measure subjects' ideological peak preferences and attitudinal strength. Subjects then bargain over a two-dimensional agenda: a donation to a political interest group and the division of a sum of money. Consistent with our theoretical model, we find that subjects trade off monetary and policy considerations. Subjects who are in the ideological majority and who prefer status quo policies extract better bargains, but minorities gain most from the possibility of compromise afforded by two dimensions. Finally, we show that artificially-induced preferences fail to fully capture the bargaining dynamics observed using naturally-occurring preferences

    Replication Data for: Through Their Own Eyes: The Implications of COVID-19 for PhD Students

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    COVID-19 is expected to radically alter higher education in the United States and to further limit the availability of tenure-track academic positions. How has the pandemic and its associated fallout affected doctoral students' career aspirations and priorities? We investigate this question by comparing responses to a PhD career survey prior to and following significant developments in the pandemic. We find little evidence that the pandemic caused substantial shifts in PhD students' aspirations and priorities. However, some differences emerge when considering later dates in our survey period, particularly among more senior students who express a greater interest in some non-academic careers and job characteristics. Contrary to expectation, we also find evidence that the pandemic improved some students' perceptions of their academic departments. In our conclusion, we speculate whether steps taken by the comparatively well-resourced institution that we study helped to mitigate some of the more negative consequences of the pandemic

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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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