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sj-docx-1-pwq-10.1177_03616843231153390 - Supplemental material for An Intersectional Application of Expectancy-Value Theory in an Undergraduate Chemistry Course
No full textSupplemental material, sj-docx-1-pwq-10.1177_03616843231153390 for An Intersectional Application of Expectancy-Value Theory in an Undergraduate Chemistry Course by Allison M. French, Nicole M. Else-Quest, Michael Asher, Dustin B. Thoman, Jessi L. Smith, Janet S. Hyde, and Judith M. Harackiewicz in Psychology of Women Quarterly</p
What happens when groups say sorry: The effect of intergroup apologies on their recipients
No full textDespite the increased incidence of intergroup apology in public life, very little empirical attention has been paid to the questions of whether intergroup apologies work and if so, why. In a series of experiments, Australians read scenarios in which Australian interests had been harmed by an outgroup. Participants were then told that the outgroup had either apologized or had not apologized for the offense. Although the presence of an apology helped promote perceptions that the outgroup was remorseful, and although participants were more satisfied with an apology than with no apology, the presence of the apology failed to promote forgiveness for the offending group. This was the case regardless of whether the effectiveness of apology was measured cross-sectionally (Experiment 1) or longitudinally (Experiment 2). It was also the case when the apology was accompanied by victims advocating forgiveness (Experiment 3) and was independent of the emotionality of the apology (Experiment 4). In contrast, individuals who apologized for intergroup atrocities were personally forgiven more than those who did not apologize (Experiment 4). Theoretical and applied implications are discussed
Group consensus in social influence: Type of consensus information as a moderator of majority and minority influence
No full textThree experiments investigated the effect of consensus information on majority and minority influence. Experiment 1 examined the effect of consensus expressed by descriptive adjectives (large vs. small) on social influence. A large source resulted in more influence than a small source, irrespective of source status (majority vs. minority). Experiment 2 showed that large sources affected attitudes heuristically, whereas only a small minority instigated systematic processing of the message. Experiment 3 manipulated the type of consensus information, either in terms of descriptive adjectives (large, small) or percentages (82%, 18%, 52%, 48%). When, consensus was expressed in terms of descriptive adjectives, the findings of Experiments 1 and 2 were replicated (large, sources were more influential than small sources), but when. consensus was expressed, in terms of percentages, the majority was more influential than the minority, irrespective of group consensus
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Performance Evaluation and Intrinsic Motivation Processes: The Effects of Achievement Orientation and Rewards
No full textVariations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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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