1,721,117 research outputs found
Feeding Learning with Free Lunch: Evaluating the Educational Impact of the National School Lunch Program
Carter, Patrick. (2012). Feeding Learning with Free Lunch: Evaluating the Educational Impact of the National School Lunch Program. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/124142
Lt. C. W. Cousland, Amon G. Carter, Patrick J. Hurley, James M. North, and Major H. T. Oldfield at the airport
At Airport. Pictured from left to right: Lt. C. W. Cousland, Army Air Corps, pilot; Amon G. Carter; Patrick J. Hurley, U.S. Secretary of War; James M. North; and Major H. T. Oldfield.https://mavmatrix.uta.edu/specialcollections_startelegram1930s/2143/thumbnail.jp
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
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
Driving Better Governance: The Case for Institutionalizing Evidence-Based Policy
Both the public and civil servants want government to spend resources on policies that work. In new research Chengxin Xu, Patrick Carter, Yuan (Daniel) Cheng, Weston Merrick and Shuping Wang find that US state-level policymakers are more likely to support and fund programs that have proven outcomes. Decision-makers, they write, were more likely to prioritize programs with proven positive impacts over those that only reported outputs.Xu, Chengxin; Carter, Patrick; Cheng, Yuan; Merrick, Weston; Wang, Shuping. (2025). Driving Better Governance: The Case for Institutionalizing Evidence-Based Policy. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277664
Permutation tests for the equality of covariance operators of functional data with applications to evolutionary biology
In this paper, we generalize the metric-based permutation test for the equality of covariance operators proposed by Pigoli et al. (2014) to the case of multiple samples of functional data. To this end, the non-parametric combination methodology of Pesarin and Salmaso (2010) is used to combine all the pairwise comparisons between samples into a global test. Different combining functions and permutation strategies are reviewed and analyzed in detail. The resulting test allows to make inference on the equality of the covariance operators of multiple groups and, if there is evidence to reject the null hypothesis, to identify the pairs of groups having different covariances. It is shown that, for some combining functions, step-down adjusting procedures are available to control for the multiple testing problem in this setting. The empirical power of this new test is then explored via simulations and compared with those of existing alternative approaches in different scenarios. Finally, the proposed methodology is applied to data from wheel running activity experiments, that used selective breeding to study the evolution of locomotor behavior in mice
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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