1,720,981 research outputs found
Association of driving behavior with implicit and explicit measures of driving attitudes
No full textDevelopment and Validation of the Facial Expression Recognition Test (FERT)
No full textDetecting the emotional state of others from facial expressions is a key ability in emotional competence and several instruments have been developed to assess it. Typical emotion recognition tests are assumed to be unidimensional, use pictures or videos of emotional portrayals as stimuli, and ask the participant which emotion is depicted in each stimulus. However, using actor portrayals adds a layer of difficulty in developing such a test: the portrayals may fail to be convincing and may convey a different emotion than intended. For this reason, evaluating and selecting stimuli is of crucial importance. Existing tests typically base item evaluation on consensus or expert judgment, but these methods could favor items with high agreement over items that better differentiate ability levels and they could not formally test the item pool for unidimensionality. To address these issues, the authors propose a new test, named Facial Expression Recognition Test (FERT), developed using an item response theory two-parameter logistic model. Data from 1,002 online participants were analyzed using both a unidimensional and a bifactor model, and showed that the item pool could be considered unidimensional. The selection was based on the items' discrimination parameters, retaining only the most informative items to investigate the latent ability. The resulting 36-item test was reliable and quick to administer. The authors found both a gender difference in the ability to recognize emotions and a decline of such ability with age. The PsychoPy implementation of the test and the scoring script are available on a Github repository
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
Il Reattivo di Wartegg nella valutazione della regolazione emotiva e dell'alessitimia: uno studio preliminare
No full textL’Università di Genova e la formazione dei docenti durante l’emergenza Covid-19. L’esperienza del TIDA - Team di Innovazione Didattica di Ateneo
No full textIl contributo descrive l’esperienza dell’Università di Genova che - all’inizio dell’emergenza Covid-19 - ha potuto mettere in campo un gruppo di metodologi, già impegnati con il supporto di 10 Corsi di Studio vincitori di un bando finalizzato all’erogazione di didattica innovativa in Ateneo.
A partire dall’inizio dell’emergenza il gruppo (Team di Innovazione Didattica) ha portato avanti azioni di supporto a tutti
i docenti dell’Ateneo utili a garantire lo svolgimento della didattica a distanza, attraverso videotutorial, webinar, workshop e consulenze a singoli docenti. Le azioni di supporto hanno riguardato non solo l’utilizzo degli strumenti e delle piattaforme utili per l’erogazione della didattica online ma anche la progettazione e l’attuazione di forme di didattica a distanza a carattere attivo, interattivo e cooperativo (Chi, 2009) (attraverso formazioni sui principali strumenti di instant-poll e il supporto ai docenti interessati nella progettazione ed erogazione di didattica a distanza attraverso l’utilizzo di specifiche metodologie didattiche interattive e cooperative (IBL, PBL, TBL, flipped classroom, cooperative learning).
Ancora, il Team è stato coinvolto nell’attivazione di Comunità di Pratica, e ha avviato un progetto di ricerca volto ad indagare il rapporto tra progettazione della didattica attiva e capacità di affrontare in modo proattivo l’emergenza didattica Covid-19
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