1,721,030 research outputs found
Using What you Collect: Library Data and Student Success
Presented at the Library Assessment Conference, Charlottesville, VA, October 2012.Presented at the 2012 Library Assessment Conference, this poster describes the results of a collaborative assessment project undertaken by the University Libraries and the Office of Institutional Research. Results suggest a positive association between students' library use and students' retention and academic success. This poster won the "Judges' Choice" award at the conference.Nackerud, Shane; Fransen, Jan. (2012). Using What you Collect: Library Data and Student Success. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/157253
Library Use and Undergraduate Student Outcomes: New Evidence for Students’ Retention and Academic Success
Academic libraries, like other university departments, are being asked to demonstrate their value to the institution. This study discusses the impact library usage has on the retention and academic success of first-time, first year undergraduate students at a large, public research university. Usage statistics were gathered at the University of Minnesota during the Fall 2011 semester for thirteen library access points. Analysis of the data suggests first-time, first-year undergraduate students who use the library have a higher GPA for their first semester and higher retention from fall to spring than non-library users.Soria, Krista; Fransen, Jan; Nackerud, Shane. (2013). Library Use and Undergraduate Student Outcomes: New Evidence for Students’ Retention and Academic Success. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/143312
Analyzing Demographics: Assessing Library Use Across the Institution
In Fall 2011, staff at the University of Minnesota Libraries-Twin Cities undertook a project to measure how often, and in what ways, students used the Libraries' services. Partnering with the University's Office of Institutional Research, the team investigated ways to match library service usage to individual accounts while retaining patron privacy to determine who was – and was not – using the library. With complete data sets, the group was able to determine overall usage rates for undergraduate and graduate students and compare how students in different colleges used library services. This article discusses data gathering techniques, analysis, and initial findings.Nackerud, Shane; Fransen, Jan; Peterson, Kate; Mastel, Kristen. (2013). Analyzing Demographics: Assessing Library Use Across the Institution. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/143309
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
MNCAT Plus and MNCAT Classic survey : results and analysis
This document reports the results of a survey held by the University Libraries in 2009 on the use and perceived effectiveness of the Libraries’ catalog, MNCAT.Primo Management Group; Chew, Chiat Naun; Fransen, Jan; Gangl, Susan; Hendrickson, Lois; Hessel, Heather; Mastel, Kristen; Nelsen, R. Arvid; Hendrick, Connie; Peterson, Jeff. (2010). MNCAT Plus and MNCAT Classic survey : results and analysis. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/92473
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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