1,721,068 research outputs found
Small area methods and administrative data integration
No full textThe literature of small area estimation (SAE) is dominated by sample-survey-based applications, where administrative register data are used as covariates in the models. Register-based statistics, however, are becoming more and more common, and integration of survey and administrative data can raise many distinct issues. Compared to sample survey data, an important advantage of the register data is that statistics can be produced at much more detailed aggregation levels. For instance, register-based census have been carried out in a number of European countries. Statistical measures of uncertainty, however, are rarely produced for register-based statistics, partly due to a lack of theoretical developments, partly due to the complexity of the errors involved. These issues are particularly relevant also for the production of poverty and well-being indicators. In many countries data coming from large sample surveys, such as the Labour Force survey (LFS) or the EU-SILC (European Union - Statistics in Income and Living Conditions), can be complemented or integrated with data coming from several population registers to obtain either more accurate estimates at the local level, or multidimensional indicators that could not have been produced using each source on its own.
We shall characterize the settings of SAE which involve administrative data according to (a) whether there are relevant additional sample survey data present and, if so, (b) how the target measure is related to the available data in the two sources
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Future challenges of small area estimation
No full textA panel discussion session entitled as “Future Challenges of Small Area Estimation” was organized in the SAE2005 Conference, with Ray Chambers as the organizer and chair and Jan van den Brakel, Dan Hedlin, Marie Cruddas, Risto Lehtonen, Imbi Traat and Li-Chun Zhang as the discussants. The output of the panel discussion session is summarized in this paper. Each contributor is responsible of the respective piece of text; the paper has been edited by the chairman of the session.</p
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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