1,720,980 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
What does the driving and riding avoidance scale (DRAS) measure?
Driving anxiety can have a significant impact on everyday functioning and usually results in some kind of avoidance behaviour. The Driving and Riding Avoidance Scale (DRAS; Stewart, A. E., & St. Peter, C. C. (2004). Driving and riding avoidance following motor vehicle crashes in a non-clinical sample: psychometric properties of a new measure. Behaviour Research and Therapy, 42, 859–879) shows promise in the self-report assessment of the degree of such avoidance. The present study investigated the psychometric properties of the DRAS in a sample of 301 university students. Internal consistency for the DRAS was 0.89 and temporal stability over two months was 0.71. The factor structure of the DRAS supported the use of the general and traffic avoidance subscales but not the weather and riding avoidance subscales in the present non-clinical sample. However, a significant limitation of the DRAS is that it does not assess the reasons for driving avoidance, and is therefore not a measure of avoidance that is due to driving anxiety. Some items may be rated highly for practical reasons, such as avoidance because of increasing fuel and other costs associated with driving. Modified instructions for the DRAS should ensure that it measures anxiety-related avoidance behaviour
Variations on the Author
“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
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 desirability and self-reported driving behaviours: Should we be worried?
There is widespread use of self-report measures of driving behaviour in the traffic psychology literature, despite the frequent criticism that such measures are subject to social desirability bias. However, no research has yet investigated the more recently developed measures of driving anxiety and avoidance behaviour for socially desirable responding. Furthermore, relatively little research has investigated the issue of socially desirable responding on self-reported driver behaviour in general, and that which does exist has several shortcomings. The present study used a repeated measures design to assess the effect of social desirability on a measure of driving avoidance, the Driving and Riding Avoidance Scale (DRAS), and the Driver Behaviour Questionnaire (DBQ). A sample of 228 undergraduate students completed the DRAS, DBQ and a measure of socially desirable responding in class, which constituted a public place, and then again 2 months later in the privacy of their homes. None of the DBQ items were significantly different across the two locations. However, two of the DRAS general avoidance items were higher in the public setting, perhaps demonstrating the effect of socially desirable responding on driving avoidance due to environmental or practical concern. Nevertheless, overall it appears as though the DRAS and DBQ are not particularly vulnerable to socially desirable responding, although further well-designed research on the effects of such bias on these and other self-report measures of driving behaviour should be undertaken
Dispelling the Myths Behind First-author Citation Counts
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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