1,720,960 research outputs found
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
Pedagógusok és tanárszakos hallgatók adathasználattal kapcsolatos vélekedéseinek és hatékonyságérzetének vizsgálata
In-service teachers’ everyday work includes using student data to enhance both instruction and learning. Student data originates from various sources (national competence assessments, oral exams, tests etc.), including demographic characteristics and absenteeism. Accessing, analyzing, interpreting, and appropriately utilizing data is challenging for teachers. International research has shown that data use for improving instruction and learning is greatly influenced by teachers' self-efficacy. There has been limited attention to investigating teachers' data use in Hungary. Therefore, the aim of our study is to understand in-service teachers' and pre-service teachers' beliefs and sense of efficacy regarding data use. Using the method of data triangulation, we conducted two studies, each preceded by pilots. Data were collected using self-developed instruments for data use, assessment, and background information, as well as two adapted instruments: the Data-Driven Decision-Making Efficacy and Anxiety Inventory (3D-MEA, Dunn et al., 2013) and the Data Use Practices survey (Reeves et al., 2016).The large-scale surveys yielded Nteachers=275 and Nstudent teachers=250 responses.
The results indicate that a high ratio of in-service teachers have high self-efficacy in accessing, interpreting, and utilizing information and assessment results from external sources in their teaching, albeit with high levels of anxiety associated with these activities. Student data is primarily used to support students, with only a small proportion being incorporated into instructional activities. In contrast, pre-service teachers vary in their self-efficacy of using student data, and many experience low anxiety about data or express greater reliance on data in the teaching-learning process. Furthermore, the findings suggest that data use courses in teacher education have a significant impact on both in-service teachers' and pre-service teachers’ self-efficacy beliefs regarding data use. It also became evident which courses significantly impact specific dimensions and the number of courses necessary to increase self-efficacy in a particular dimension.
This research highlights the importance of improving the use of commonly available student data for instructional purposes starting from teacher education programs. Data use courses significantly impact self-efficacy in this respect, which is an indicator of data-driven decision making and thus of increased student performance (cf. Dunn et al., 2013). Based on the results, the author believes that this research serves as a good starting point for future studies examining classroom data use from various perspectives and laying the groundwork for international comparative studies
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
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
A literature review on the affective factors that influence data-driven decision-making
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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