1,720,969 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
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
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Central office data use : a focus on district and school goals
textThis study examined the data use of central office administrators working in the Curriculum and Instruction Department of a school district. The purpose of this work was to broaden the knowledge base of data use and of the integral role the central office plays in the district-wide use of data to improve teaching and learning. Two research questions guided the study: (a) How do central office personnel involved in curriculum and instruction use data to support district goals of improved student achievement, and (b) how do central office personnel involved in curriculum and instruction use data to support campus goals of improved student achievement? A qualitative and quantitative data collection process with a single-case study approach included focus groups, individual interviews, and a survey instrument. The data from these components were coded, analyzed, and translated into themes and findings using a 9-step constant-comparative process. This process provided rich description and a comprehensive evaluation of findings to answer the research questions. Findings regarding the use of data within the department of curriculum and instruction at the central office revealed that administrators most often took on the role of data provider. The central office provided reports both to campuses and to comply with federal and state regulations and funding requirements; provided professional development to principals, teachers, and instructional specialists; provided information about student achievement to parents and the greater community; and encouraged the use of data and highlighted the value of data use to inform instructional choices. Further analysis of the data revealed barriers that inhibit the systemic use of data and the ability of school districts to become truly data informed: lack of a common vision for data use, creation of data silos that reduce the ability to collaborate and make cooperative data-based decisions, too much data for consideration, and fragmented implementation of the goal-setting process. These findings contribute to the current literature by demonstrating the importance of the central office in data use. In conclusion, what central office administrators do with data matters, and how the central office uses data to support teacher and principal quality is critical in a district focused on improving teaching and student learning.Educational Administratio
The principal as an instructional leader within the context of effective data use
textThe past decades have witnessed the evolution of the standards movement from a focus on basic graduation requirements to robust curriculum efforts, standardized testing, new standards for teacher qualifications, and emphasis on monitoring student learning. National attention on the performance of public schools has triggered a growing interest in data use as a means to change school practices to meet the demands for new standards. Both federal and state mandates and standards imposed on schools are intensifying the pressure to have all students learn at high levels. Leaders are being asked to work in different ways, using different tools. Education policy has shifted leadership expectations from an emphasis on management to one of accountability and responsibility for student academic performance. Using evidence to make decisions is the expectation for principals today. This study examined the principal as an instructional leader within the context of effective data use. The research investigated data principals use, barriers and facilitators they encounter when using data, and structures they create to promote data-informed instructional decisions. The case study employed a mixed-method approach, using quantitative and qualitative data for analysis. Data were collected through individual interviews, focus groups, and surveys. The framework for data analysis was the constant-comparative method guided by six recursive steps. Data were subjected to several levels of descriptive analysis, whereby the emerging categories become the basis for the organization and conceptualization of the data. Findings identified that data use among principals was fragmented within the district. Overall, there was no apparent sense of urgency regarding data use across most of the schools in the study. With the exception of a few schools, no systems or processes were in place for data use. If data use was embedded in the culture of the school, it was due to the skill of the individual principal and the structures he or she developed within the school to support data use. The variations in data use brought attention to the autonomy found in the loosely coupled organizational structure of schools in the study. Lack of a district-wide vision for data use allowed principals significant freedom in determining which data to use as well as how to use data. This study illuminated the need for a district-wide plan to guide the schools in data use as well as the need to develop a collaborative effort between the district office and schools to promote and support principals in an effort to become effective data users.Educational Administratio
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Supports that facilitate teacher data use in schools
textThis study examined supports that facilitate teacher data use in schools. The purpose of this work was to extend the base of knowledge of general supports for teacher data use, leadership supports for teacher data use, and technology supports for teacher data use. Three research questions guided the study to determine those supports necessary for teachers to be successful in data use: (a) What general data supports exist for teacher data use in schools, (b) what leadership supports exist for teacher data use in schools, and (c) what technology supports exist for teacher data use in schools? A qualitative and quantitative data collection process with a single-case study approach included individual interviews, focus groups, and a survey instrument. The data from these components were coded, analyzed, and organized into themes and implications by implementing the 6-step constant-comparative model. This mixed methods process provided a thorough evaluation of findings to answer the research questions. Two implications were found during the study. First, structures and systems for data use must be intentional in order to support teacher data use in schools. Contributing to the intentionality is time for collaboration; professional development to build teacher capacity; and clearly aligned district vision, mission, and goals. Second, technology support in the classroom is integral to effective data use by teachers. This support manifests in hardware support and personnel support. Hardware includes having the appropriate system that maintains the students, timely access to data and a user-friendly format. Personnel support refers to the integration of technology into teaching and learning, teacher-to-teacher support, and an alleviation of distrust through positive interaction with data. Further analysis revealed implications for practice, including the importance of creating structures and developing a plan for data use.Educational Administratio
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
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