1,720,961 research outputs found
Leveraging Data-Driven Decisions: A Predictive Model to Enhance Student Success in Higher Education
No full textHigher education institutions often face challenges in achieving key success metrics, such as on-time graduation rates, particularly when supporting students with diverse backgrounds, needs, and barriers. This study examines a detailed dataset containing student demographics and academic records from College of Business at a large public university spanning ten years. Our results highlight significant achievement gaps based on factors such as gender, age, race, family income, and parents’ education levels. These gaps persist even among students with similar academic histories. We develop prediction models that enable institutions to identify high-risk students early, facilitating timely intervention and providing a framework for comparing institutional efforts to improve student success. This study highlights how data-driven approaches can enhance institutional management by enabling proactive identification of challenges, optimizing resource allocation, and supporting strategies that improve student outcomes
The Impact of Online Testing Mode on Business Assessment Test Performance Before and During COVID
Full text linkWe examined the impact of the COVID-19 on a Southern California public university’s the Business Assessment Test (BAT) scores. The analysis analyzed over 4,000 observations from Spring 2017 to Spring 2022. Results demonstrated a significant performance improvement during COVID, with the average BAT score increasing from 51.35 to 55.47. Furthermore, demographic factors like major, ethnicity, enrollment, gender, and English proficiency also influenced BAT scores. Finally, interaction effects, especially for quantitative test questions were significant between COVID and cs major, work, and language. The study provides insights for educators and policymakers regarding the implementation of online assessment format in the future
Currency risk exposure of Chinese corporations
No full textIn spite of the rise of China and its currency, the currency risk of Chinese firms has not been studied adequately. In this paper we document for the first time that the stock returns of Chinese firms are significantly exposed to currency risks with many firms benefiting from the rise of the Yuan. Further, the magnitudes of the currency risk coefficients for Chinese companies (Corporate finance Foreign exchange Currency risk management Chinese firms Chinese currency
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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