1,721,041 research outputs found
Employment status and education/employment relationship of PhD graduates from the University of Ferrara
No full textTwo sample surveys of Post-Docs were planned and carried out at the University of Ferrara in 2004 and 2007 aimed at determining the professional status of Post-Docs, the relationship between their PhD education and employment, and their satisfaction with certain aspects of the education and research program. As part of these surveys, two methodological contributions were developed. The first concerns an extension of the non-parametric combination of dependent rankings to construct a synthesis of composite indicators measuring satisfaction with particular aspects of PhD programs [R. Arboretti Giancristofaro and L. Salmaso, Global ranking indicators with application to the evaluation of PhD programs, Atti del Convegno “Valutazione e Customer Satisfaction per la Qualita dei Servizi”, Roma, 8-9 Settembre 2005, pp. 19-22; R. Arboretti Giancristofaro, S. Bonnini, and L. Salmaso, A performance indicator for multivariate data, Quad. Stat. 9 (2007), pp. 1-29; R. Arboretti Giancristofaro, F. Pesarin, and L. Salmaso, Nonparametric approaches for multivariate testing with mixed variables and for ranking on ordered categorical variables with an application to the evaluation of PhD programs, in Real Data Analysis, S. Sawilowsky, ed., a volume in Quantitative Methods in Education and the Behavioral Sciences: Issues, Research and Teaching, Ronald C. Serlin, series ed., Information Age Publishing, Charlotte, North Carolina, 2007, pp. 355-385]. The procedure was applied to highlight differences in the interviewed Post-Docs' multivariate satisfaction profiles in relation to two aspects: education/employment relationship; employment expectations; and opportunities. The second consists of an inferential procedure providing a solution to the problem of hypothesis testing, where the objective is to compare the heterogeneity of two populations on the basis of sampling data [G.R. Arboretti, S. Bonnini, and F. Pesarin, A permutation approach for testing heterogeneity in two-sample categorical variables, Stat. Comput. (2009) doi: 10.1007/S11222-008-9085-8.]. The procedure was applied to compare the degrees of heterogeneity of Post-Doc judgments in the two surveys with regard to the adequacy of the PhD education for the work carried out.employment survey, performance indicators, heterogeneity tests,
Ordinal Classification in multidimensional problems
No full textExperimental data with a specific and complicated experimental protocol are taken into account and elaborated. A critical review of the most important steps in the synthesis of multivariate responses and their main properties is considered
Some comparisons between a parametric and a nonparametric solution for two tests with repeated measures
No full textOn synthesis methods for multivariate ordinal data
No full textA review of the main rilevant proposals in the statistical literature about synthesis methods for Multivariate Ordinal Data, focusing in particular on a new nonparametric method proposed by the author
Tendenze Evolutive del Turismo
No full textIn questo documento sono riportati i risultati dell’indagine statistica in corso sul settore del Turismo finalizzata alla revisione del Piano Territoriale di Coordinamento della Provincia di Ferrara. Tali risultati sono relativi alla descrizione statistica della consistenza e composizione degli esercizi turistici e dell’andamento dei movimenti registrati nell’arco temporale 1996-2003 (alcune analisi si riferiscono ad un arco temporale più ampio: 1987-2003). L’ambito territoriale analizzato comprende l’area della provincia di Ferrara considerata sia globalmente, sia nelle tre ripartizioni: Ferrara Capoluogo, Lidi di Comacchio e Altri Comuni. Inoltre, sono state analizzate le altre province dell’Emilia Romagna e la provincia di Mantova. Per quanto concerne le fonti, i dati relativi alla provincia di Ferrara provengono dall’Ufficio di Statistica dell’Amministrazione Provinciale di Ferrara. Quelli relativi all’Emilia Romagna e alla provincia di Mantova provengono rispettivamente dagli Uffici di Statistica dell’Amministrazione Regionale dell’Emilia Romagna e dell’Amministrazione Provinciale di Mantova
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
- …
