1,720,952 research outputs found

    Cross-Cultural Meta-Analyses

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    In the enormous collection of cross-cultural data that have been published during the last few decades it is difficult to perceive patterns. There is a clear need for systematizing the vast amount of cross-cultural studies and for developing models that explain cross-cultural differences in psychology. Two methods of cross-cultural meta-analysis can be distinguished. First, the instrument-based method of comparing data for one instrument across countries is suitable for instruments which have been administered in many countries. Second, a domain-based meta-analysis used a thematic domain from which culture-comparative studies are sampled instead of one specific instrument or method

    Public perceptions and community issues

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    This paper is the seventh in a series of 8 that make up the evidence base for SDC report 'The role of nuclear power in a low carbon economy'.Publisher PD

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Social Motives and Their Development in Cultural Context

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    This paper deals with differences in social motives between cultures and with respect to their development. First, social motives are described as complex functional systems. Then aggressiveness and achievement motivation are dealt with as examples. Assumptions about biological factors are discussed and cultural differences are reported. Based on cross-cultural research, variations in early mother-child relations and in cultural norms and values are discussed as main sources of individual and cultural differences

    Variations on the Author

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    “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

    Decomposing satellite-based rainfall errors in flood estimation: Hydrological responses using a spatiotemporal object-based verification method

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    A spatiotemporal object-based rainfall analysis method is used to evaluate the hydrological response of two systematic satellite error sources for storm estimation in the Capivari catchment, Brazil. This method is called Spatiotemporal Contiguous Object-based Rainfall Analysis (ST-CORA) specifically evaluates the error structure of satellite-based rainfall products using a 3D pattern clustering algorithm. Errors due to location and magnitude in the Near Real-time (NRT) CMORPH product are subtracted by adjusting the shift and the intensity distribution with respect to a storm object obtained from gauge-adjusted weather radar. Synthetic scenarios of each error source are used as forcing for hourly calibrated distributed hydrological ‘wflow-sbm’ model to evaluate the main sources of systematic errors in the hydrological response. Two types of storm events in the study area are evaluated: short-lived and a long-lived storm. The results indicate that the spatiotemporal characteristics obtained by ST-CORA clearly reflect the main source of errors of the CMORPH storm detection. It is found that location is the main source of error for the short-lived storm event, while volume is the main source in the long-lived storm event. The subtraction of both errors leads to an important reduction of the simulated streamflow in the catchment. The method applied can be useful in bias correction schemes for satellite estimations especially for extreme precipitation events.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Water Resource

    Appropriate Similarity Measures for Author Cocitation Analysis

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    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

    Social capital and self-rated health in the Republic of Ireland: evidence from the European Social survey

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    This paper analyses the determinants of self-reported health in Ireland, conditioning self-reported health on a set of socio-economic, labour market and social capital variables. Ireland has the highest self-reported health rate in Europe, a finding backed-up by other studies. Data were derived from the 2002 and 2005 European Social survey. The full 87,915 observations from both rounds were pooled and used to estimate mean self-rated health across Europe. The Irish data were isolated, totalling 2,049 individuals for 2002 and 2,286 individuals for 2005. The 2002 data were used to analyse the determinants of subjective health state, as it had a richer array of social capital variables. The results demonstrate statistically significant effects of income on self-reported health that are robust to different statistical specifications and statistically significant though modest effects of social capital variables such as associational membership and frequency of social meeting and labour market variables such as being on a limited as opposed to permanent contract

    Dispelling the Myths Behind First-author Citation Counts

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    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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