1,720,986 research outputs found
Psychological maladjustment mediates the relation between recollections of parental rejection in childhood and adults’ fear of intimacy in Italy
No full textGrounded in interpersonal acceptance–rejection theory, this study examined the relation between recollections of parental rejection during childhood and fear of intimacy (FOI) in adulthood, as mediated by adults’ psychological maladjustment. In Study 1, the Fear of Intimacy Scale (FIS) was adapted for use in Italy. Its psychometric properties were investigated in a sample of 635 adults (51% women; 18–35 years). Confirmatory factor analysis, reliability analysis, and measurement invariance analysis showed that the Italian version of the FIS is a valid, reliable, and gender invariant scale. In Study 2, the relations among adults’ recollections of maternal and paternal rejection in childhood, current psychological maladjustment, and self-reported general FOI were investigated in a sample of 360 Italian adults (51% women; 18–35 years). Path analysis showed that the association between recollections of parental rejection during childhood and FOI in adulthood is fully mediated by psychological maladjustment, particularly emotional unresponsiveness, negative self-esteem, and dependency. This model was not moderated by gender. These results provide useful indications for the design of interventions aimed at reducing FOI
Effects of social exclusion and maternal rejection on Children's high-caloric food consumption
No full textResearch has shown that the quality of interpersonal relationships plays an important role in influencing childhood obesity-risk behavior. However, studies conducted so far have focused mostly on self-report data. But they rarely control for the effect of experimentally-induced social rejection or perceived maternal rejection. The aim of this study was to investigate the effects of the quality of the maternal relationships as well as experimentally-induced social rejection on children's motivation to consume high-caloric food. Eighty children (8-12 years of age) and their mothers participated in an experimental study. Participants were randomly assigned to a social inclusion (acceptance) or exclusion (rejection) condition in a computer-based ball-toss game (Cyberball). After completing the Cyberball game, children were presented with high-caloric food and were evaluated on the amount of the food they consumed. Participants also completed a self-report questionnaire assessing their perceptions of their mothers' acceptance-rejection. Further, mothers' Body Mass Index (BMI) was measured, and a semi-structured interview was conducted to assess the tendency of mothers to regulate their child's stress with food. Results showed that the consumption of high-caloric food was directly influenced by the children's perceptions of maternal acceptance-rejection, and by the experience of brief, experimentally-induced social exclusion (rejection). Additionally, children's consumption of high-caloric food was related to their mothers' use of food to help regulate children's distress, and by the children's own BMI. The results document the importance of affective-relational experiences in the development of childhood obesity. The results also highlight the apparent fact that regardless of individual and family characteristics, the experience of even short-term social rejection can activate obesity-risk behaviors which deplete children's self-regulatory mechanisms, thereby resulting in more consumption of high-caloric food
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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