1,721,224 research outputs found
sj-docx-1-pss-10.1177_09567976231199440 – Supplemental material for Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success
No full textSupplemental material, sj-docx-1-pss-10.1177_09567976231199440 for Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success by Yael Millgram, Matthew K. Nock, David D. Bailey and Amit Goldenberg in Psychological Science</p
Supplementary_material_measures_English - The Quest for Hope: Disadvantaged Group Members Can Fulfill Their Desire to Feel Hope, but Only When They Believe in Their Power
No full textSupplementary_material_measures_English for The Quest for Hope: Disadvantaged Group Members Can Fulfill Their Desire to Feel Hope, but Only When They Believe in Their Power by Siwar Hasan-Aslih, Eric Shuman, Amit Goldenberg, Ruthie Pliskin, Martijn van Zomeren and Eran Halperin in Social Psychological and Personality Science</p
Study_1_replication - What is the impact of race on participants’ evaluation of emotion expressed in faces? (Replication Study)
No full textAuthors: Amit Goldenberg, Zi Huang (known in OSF as Ziyang Huang)
This study aims to replicate the findings of a previously ran study. Both studies aim to investigate how people evaluate the emotionality of black and white faces. In this current study, in an identical design to the previous study, participants will observe a crowd of 4 black and white faces. The racial makeup of the crowd will vary by percentage – it will either be 25, 50 or 75% black and either 75, 50, or 25% white respectively. The faces in the crowd will express emotions ranging from neutral to happiness or neutral to anger. Following the observation stage, participants will be asked to classify the crowd as “emotional” or “not emotional.”
This replication, as well as the first study are an extension of a set of studies that examined subjects’ abilities to evaluate crowds’ emotions (Goldenberg et al., 2020). In these initial studies we found that people tended to (a) overestimate the crowd’s emotions compared to the actual emotion, and that (b) the tendency for overestimation increased with the size of the crowd.
This first effect of over estimation – also called the crowd-emotion-amplification effect – is assumed to be caused by the fact that participants remember more salient items in a crowd in way that leads to a bias representation of actual crowd mean. The goal of the current project is to examine how people evaluate crowds when the race of the faces in the crowd is manipulated to be either white or black.
We conducted Study 1 on MTurk with a sample of 150 individuals. Some of the original hypotheses were confirmed, in others we found the exact opposite trend (see full description in hypotheses section). We therefore decided to revise our hypotheses and run this current replication
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
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