1,721,016 research outputs found
Replication Data for: Refugee Networks, Cooperation, and Resource Access
Without formal avenues for claims-making or political participation, refugees must find their own means of securing services from state and non-state providers. This paper asks why some refugee communities are more effective than others in mitigating community problems. I present a framework for understanding how refugees’ social networks shape the constraints and capabilities for collective action. I analyze a field experiment where I organized community meetings with Syrian refugees in Lebanon and Jordan, randomly assigning the recruitment method for meetings to introduce exogenous variation in network structure. During meetings, participants were tasked with resolving collective action problems. I examine the dynamics of subsequent group discussion. Results show that although densely networked refugee groups exhibit more cooperation they suffer from a resource diversity disadvantage. Group diversity facilitates access to resources that may help refugee communities confront community problems. The novel experimental design allows for separately identifying group-level and individual-level mechanisms
Replication Data for: Lehmann and Masterson "Does Aid Reduce Anti-Refugee Violence? Evidence from Syrian Refugees in Lebanon" (APSR 2020)
Replication Data for: Lehmann and Masterson "Does Aid Reduce Anti-Refugee Violence? Evidence from Syrian Refugees in Lebanon" (APSR 2020
Replication data for Masterson and Lehmann: "Refugees, Mobilization, and Humanitarian Aid: Evidence from the Syrian Refugee Crisis in Lebanon" (JCR 2019)
Replication data for Masterson and Lehmann: "Refugees, Mobilization, and Humanitarian Aid: Evidence from the Syrian Refugee Crisis in Lebanon" (JCR 2019
The dynamics of refugee return: Syrian refugees and their migration intentions
We study the drivers of refugees' decision making about returning home using observational and experimental data from a survey of 3,003 Syrian refugees in Lebanon. We find that the conditions in refugee-hosting countries play a minor role. In contrast, conditions in a refugee's home country are the main drivers of return intentions. Even in the face of hostility and poor living conditions in host countries, refugees are unlikely to return unless the situation at home improves significantly. These results challenge traditional models of decision making about migration, where refugees weigh living conditions in the host and home countries (“push” and “pull” factors). We offer an alternative theoretical framework: a model of threshold-based decision making whereby only once a basic threshold of safety at home is met do refugees compare other factors in the host and home country. We explore some empirical implications of this new perspective using qualitative interviews and quantitative survey data
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
Reducing attrition in phone-based panel surveys: best practices and semi-automation for survey workflows
Panel surveys and phone-based data collection are essential for survey research and are often used together due to the practical advantages of conducting repeated interviews over the phone. These tools are particularly critical for research in dynamic or high-risk settings, as highlighted by researchers’ responses to the COVID-19 pandemic. However, preventing high attrition is a major challenge in panel surveys. Current solutions in political science focus on statistical fixes to address attrition ex-post but often overlook a preferable solution: minimizing attrition in the first place. Building on a review of political science panel studies and established best practices, we propose a framework to reduce attrition and introduce an online platform to facilitate the logistics of survey implementation. The web application semi-automates survey call scheduling and enumerator workflows, helping to reduce panel attrition, improve data quality, and minimize enumerator errors. Using this framework in a panel study of Syrian refugees in Lebanon, we maintained participant retention at 63 percent four and a half years after the baseline survey. We provide guidelines for researchers to report panel studies transparently and describe their designs in detail
Appropriate Similarity Measures for Author Cocitation Analysis
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
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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