1,720,958 research outputs found
Public Opinion Barometer, 1994.03
No full textDatabase resulting from the Public Opinion Barometer, March 1994.
Board: Cătălin Zamfir, Lazăr Vlăsceanu, Cornel Codiță, Traian Rotariu, Călin Anastasiu.
Project oficer: Ionel David.
Fieldwork by IMAS. (Mircea Kivu
Public Opinion Barometer, 1999.05
No full textIn 1998-1999, the Public Opinion Barometer was renamed as “Human resources barometer”.
This wave was collected by MetroMedia transilvania (MMT) in May 1998.
Programme Director: Ionel David.
Database was partly curated by Bogdan Voicu, in 2001.
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Datasets are provided in SPSS and Stata (13+) could be used to read the data. For R, we recommend using the readstata13 package in order to import databases.
Labels are provided for the moment only in Romanian language.
No weighting system is provided, for the mere reason that in all cases there is no need for weighting (all weights should be equal to 1)
Public Opinion Barometer, 1997.12
No full textFieldwork: December 1997
Board: Lazăr Vlăsceanu, Dumitru Sandu, Traian Rotariu, Călin Anastasiu, Gheorghe Onuţ.
Program officer: Ionel David.
Data retrieved and partly cleaned by Bogdan Voicu, in 2004.
Labels are provided for the moment in Romanian language.
No weighting is needed in order to calibrate the sample with respect to gender, age, regional distribution, and ethnicity
Public Opinion Barometer, 1995-1997
No full textSurveys collected in:
March 1995, ICCV
July 1995, CURS
September 1995, ICCV
December 1995, CURS
March 1996, ICCV
July 1996, CURS
October 1996, CURS
December 1996, ICCV
March 1997, CURS
July 1997, ICCV
September 1997, CURS
December 1997, ICCV
Original datasets were not retrieved, except for March 1997 (that was provided with English labels by Mircea Comșa) and December 1997 (retrieved by Bogdan Voicu and partly cleaned in 2004).
A pooled dataset compiled by Sebastian Lăzăroiu in 1998 includes 11 out the 12 waves of the survey (the missing one is December 1997). A generic questionnaire was compiled by Sebastian Lăzăroiu with the same occasion. The current version of the dataset includes a few additional variables compiled by Bogdan Voicu in 2004.
Press releases for some waves in 1995-1996 were recovered by Ovidiu Voicu and Mircea Comșa and rearranged by Bogdan Voicu in 2022. They allowed to reconstruct information on Barometer boards, partly completed with information provided by Dumitru Sandu:
September 1995
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Board: Cătălin Zamfir, Lazăr Vlăsceanu, Gheorghe Onuț, Traian Rotariu, Călin Anastasiu.
Programme Director: Ionel David.
Fieldwork: ICCV (Research Institute for Quality of Life, Bucharest)
December 1995
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Board: Lazăr Vlăsceanu, Dumitru Sandu, Traian Rotariu, Călin Anastasiu, and Gheorghe Onuț.
Programme Director: Ionel David.
Fieldwork: CURS SA (Bucharest)
March 1996
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Board: Lazăr Vlăsceanu, Dumitru Sandu, Traian Rotariu, Călin Anastasiu, and Gheorghe Onuț.
Programme Director: Ionel David.
Fieldwork: ICCV (Research Institute for Quality of Life, Bucharest)
Fieldwork coordinator: Ioan Mărginean.
July 1996 & October 1996
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Board: Lazăr Vlăsceanu, Dumitru Sandu, Traian Rotariu, Călin Anastasiu, and Gheorghe Onuț.
Programme Director: Ionel David.
Fieldwork: CURS SA (Bucharest)
Fieldwork coordinator: Vladimir Crețoiu.
March 1997
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Board: Dumitru Sandu, Lazăr Vlăsceanu, Traian Rotariu, Călin Anastasiu, Gheorghe Onuţ
Programme Director: Ionel David.
Fieldwork: MMT (Cluj)
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Datasets are provided in three formats:
.zsav, .sav, .dta.
SPSS and Stata (14+) could be used to read the data. For R, we recommend using packages RcmdrMisc (function readSPSS) and readstata13 in order to import databases.
Labels are provided for the moment only in Romanian language. (except for march 1997, for which English labels are available within the dataset)
No weighting system is provided, for the simple reason that in all cases there is no need for weighting (all weights should be equal to 1)
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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