1,720,996 research outputs found
When smiles (and frowns) speak words: Does power impact the correspondence between self-reported affect and facial expressions?
No full textSelf-reported experiences are often poor indicators of outward expressions. Here we examine social power as a variable that may impact the relationship between self-reported affect and facial expressions. Earlier studies addressing this issue were limited by focusing on a single facial expression (smiling) and by using different, less sensitive methods that yielded mostly null results. Sampling, for the first time, self-reported affect repeatedly in response to different negative, neutral and positive stimuli, and measuring concurrent facial muscle activation via electromyography, we found that high power (vs. baseline) increased the correspondence between self-reported positive affect and smiling. There was also an indication that high power (vs. baseline) bolstered the association between self-reported negative affect and frowning but the effect did not pass more stringent criteria for significance (p ≤.005) and was therefore deemed inconclusive. The prediction that low power (vs. baseline) decreases the correspondence between self-reported affect and smiling and frowning facial expressions was not supported. Taken together, it would appear that (high) power can impact the relationship between self-reported affect and facial expressions, but it remains to be seen whether this effect extends beyond smiling facial expressions
Can people judge the veracity of their intuitions?
No full textPeople differ in the belief that their intuitions produce good decision outcomes. In the present research, we sought to test the validity of these beliefs by comparing individuals’ self-reports with measures of actual intuition performance in a standard implicit learning task, exposing participants to seemingly random letter strings (Studies 1a–b) and social media profile pictures (Study 2) that conformed to an underlying rule or grammar. A meta-analysis synthesizing the present data (N = 400) and secondary data by Pretz, Totz, and Kaufman found that people’s enduring beliefs in their intuitions were not reflective of actual performance in the implicit learning task. Meanwhile, task-specific confidence in intuition bore no sizable relation with implicit learning performance, but the observed data favoured neither the null hypothesis nor the alternative hypothesis. Together, the present findings suggest that people’s ability to judge the veracity of their intuitions may be limited
From grumpy to cheerful (and back): How power impacts mood in and across different contexts
Full text linkAlthough lay intuition and some academic theories suggest that power increases variability in mood, the prevailing view in the literature is that power elevates mood—a view that is not consistently borne out in empirical data. To rectify these discrepancies, we conducted five studies examining the impact of high and low power on mood in, and across, contexts of differing valence (negative vs. neutral vs. positive). Drawing on 19,710 observations from 1,042 participants, we found that high (vs. medium/control) power elevated, and low (vs. medium/control) power dampened, individuals’ mood at baseline/in neutral contexts and in positive contexts. However, neither high (vs. medium/control) power nor low (vs. medium/control) power modulated individuals’ mood in negative contexts. Overall, high (vs. medium/control) power tended to increase, and low (vs. medium/control) power decreased variability in mood across contexts (the former effect was marginally significant). We discuss how these findings corroborate, but also qualify, lay intuition and social psychological theories of power
Taking charge of one's feelings: Sense of power and affect regulation
Full text linkPeople who can effectively regulate their feelings benefit from more desirable affective lives. Here we examine whether individual differences in chronic feelings of power are associated with regulatory efforts aimed at maintaining positive affect and ceasing negative affect. In Study 1, we found that people with a stronger (vs. weaker) sense of power were more inclined to cognitively re-frame (reappraise) and up-regulate (repair) their affective experiences, whilst also being less inclined to suppress their feelings. Drawing on affective experiences sampled repeatedly over a one-week period, in Study 2 we found that people with a stronger (vs. weaker) sense of power were more likely to cease their negative affect. However, a stronger (vs. weaker) sense of power was not associated with the likelihood to maintain positive affect. Together, the findings highlight a novel domain in which power may enhance self-regulation, and help explain how power differentials shape people's affective and social lives
Does influence beget autonomy? Clarifying the relationship between social and personal power
Full text linkWe iteratively develop and test a model to clarify the relationship between both high and low levels of social (influence) and personal (autonomy) power. A meta-analysis synthesising primary data (n = 298) and secondary data (n = 498) found that impaired personal power coincided with impaired social power, but not vice versa. Unexpectedly, elevated social power did not coincide with elevated personal power, suggesting that the association between influence and autonomy attenuates with increasing levels of power. Predictions arising from the meta-analysis and our revised theoretical model were supported in a subsequent study (n = 266). We discuss implications of these findings and avenues for future research
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
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