1,721,121 research outputs found
Students’ university mobility patterns in Europe: an introduction
Full text linkThis thematic series collects some papers on Italian students' mobility. The aim of this thematic series is twofold. First, to describe the phenomenon which is important for universities and for its negative socio-economic implications for the South of Italy. Second, to propose new applications of statistical methods for this topic and applications which can be extended to other forms of migration, too
Unveiling gender disparities in university pathways: insights from Italy’s master’s level
No full textThis paper examines gender disparities in university student pathways in Italy, from initial enrolment to completion of a bachelor’s degree and enrolment in a subsequent master’s programme. While it is established that females generally outperform males in completion rates and final grades, little has been done to analyse retention up to the master’s level due to a lack of longitudinal data covering the entire student university careers. We use discrete-time multi-state Markov models to investigate the key factors that influence students’ decisions throughout their university careers. Our analysis reveals that factors related to previous high school performance and early academic choices affect the university pathways of male and female students differently. Data regards first-year students enrolled in 3-year programmes at Italian universities between 2008 and 2020
A hazard model for a multistate discrete stochastic process: a case study coming from women's life courses
No full textA statistical method for removing unbalanced trials with multiple covariates in meta-analysis
Full text linkIn meta-analysis literature, there are several checklists describing the procedures necessary to evaluate studies from a qualitative point of view, whereas preliminary quantitative and statistical investigations on the “combinability” of trials have been neglected. Covariate balance is an important prerequisite to conduct meta-analysis. We propose a method to identify unbalanced trials with respect to a set of covariates, in presence of covariate imbalance, namely when the randomized controlled trials generate a meta-sample that cannot satisfy the requisite of randomization/combinability in meta-analysis. The method is able to identify the unbalanced trials, through four stages aimed at achieving combinability. The studies responsible for the imbalance are identified, and then they can be eliminated. The proposed procedure is simple and relies on the combined Anderson-Darling test applied to the Empirical Cumulative Distribution Functions of both experimental and control meta-arms. To illustrate the method in practice, two datasets from well-known meta-analyses in the literature are used
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
Dalla biologia alla mente sociale. Interpretazioni darwiniane.
No full textFascicolo speciale della rivista Paradigmi, n. 3-2012, "Dalla biologia alla mente sociale. Interpretazioni darwiniane", a cura di A. Attanasio e T. Pievani. Presentazione dei curatori: pp. 7-10. Contributi di: A. Attanasio, M. Casiraghi, M. Di Gregorio, A. Oliverio, T. Pievani, M. Pigliucci, I. Tattersall
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
- …
