1,721,074 research outputs found
A Phenomenological Investigation into the Impact of Mentorship on the Self-Efficacy of Novice Principals
No full textResearch suggests that nationally only half of beginning principals remain in the same job between their first and fifth year as principal. For the full implementation of largescale change, which includes the recruitment, retention, and overall capacity-building of staff, research suggests that principals must be in place for at least five years. There are complexities and demands inherent in leading students, staff, parents, and the community, and mentorship programs enable beginning principals to manage these challenges with more confidence. The purpose of this qualitative phenomenological study was to understand the phenomena of principal mentorship from the perspectives of six active elementary and middle school principals with less than five years of experience within a large suburban school district. In addition to these K–8 principals, an experienced mentor was included to provide a context for his or her role in supporting novice principals. An interview was also conducted with the Assistant Superintendent for Campus Services. Through the analysis of the participant responses, the findings indicated that mentoring had a positive impact on the growth and development of self-efficacy in novice principals. While some school districts do offer informal mentorship programs through a district hierarchy, this study provided evidence of the need for a more formal mentoring model that includes retired principals. Recommendations include a plan of implementation that will present school districts with a guide to improve principal self-efficacy during their first five years in the profession. The results of this study directly impact the leadership development of school principals within their first three to five years in the position.ProQuest Traditional Publishing Optio
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Maximizing Benefits for Women in Delaware: Improving Project Selection Using Optimization Techniques.
No full textNon-profit organizations need to use scarce resources efficiently. When it comes to helping Delaware women in need, the two most commonly used conservation methods under-achieve this goal. The Rank-Based method, which picks those projects with the highest benefits but ignores their costs, is the current method used by most non-profits but it always brings minimal total benefits. The Binary Linear Programming method, which picks projects to maximize total benefits while ignoring individual project’s desirability, leads to maximal total benefits but to the detriment of the average projects’ benefits. This paper distinguishes itself from most literature then by showing that optimization can benefit non-profits through tailoring the Rank-Based and Binary Linear Programming methods into a user-friendly, more efficient Hybrid-BLP method. This Hybrid-BLP method leads to a 140% improvement in the number of projects and 112% improvement in total benefits from the Rank-Based method
Achieving Cost Effective Conservation: ORES801 Case Studies of Optimization Application to the Department of Defense’s Readiness and Environmental Protection Initiative.
No full textThe following case studies were developed as research projects of the ORES801 course entitled “Optimization: Models and Methods” taught by Dr. Kent Messer at the University of Delaware in the Fall of 2010
Minimizing cost for Municipal residential solid waste collection in City of Newark using Goal Programming & GIS tools.
No full textThe following case studies were developed as research projects of the ORES801 course entitled “Optimization: Models and Methods” taught by Dr. Kent Messer at the University of Delaware in the Fall of 2010
Reducing Agricultural Water Pollution in Texas: An Application of Linear Optimization
No full textLinear optimizations models have been used for many practical purposes throughout the years – maximization and minimization models have proved to be key tools when striving to reach a goal. This case study employs such a model with the goal of maximizing an approximate reduction of pollutant loads from individual parcels per year with the implementation of BMPs throughout Fort Bend, Texas. The motivations for this study are the ever growing levels of Nitrogen, Phosphorus and sediment pollutant levels throughout the San Bernard Watershed, in which Fort Bend belongs. To do this, several BMPs related to livestock pollutant loads are examined and selected to be included in the model. This model will choose BMP and parcel combinations in order to provide maximum potential pollutant reductions for each parcel. As a result we obtained 32 BMP implementation recommendations across 31 parcels for a maximum reduction in pollutant loads of roughly 4.3 million pounds per year. A parameter analysis on the maximum budget concluded that the budget could increase until approximately $6
million where it begins to level off at 65 million pounds of pollutant reduction per year. There are several opportunities to expand this research, including developing a watershed wide model
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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