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    The Alliance-Outcome Relation in Internet-Based Interventions for Psychological Disorders: A Correlational Meta-Analysis

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    Background: The alliance between therapists and patients is one of the most investigated factors of psychotherapy and a robust predictor of treatment outcome in face-to-face in- terventions. The implementation of internet-based inter- ventions for psychological disorders has become more and more relevant over the past years, particularly in European countries. Regarding the relevance of the alliance for thera- py outcome in internet-based interventions, mixed results are reported. The present correlative meta-analysis system- atically summarizes the relation between alliance and ther- apy outcome in internet-based interventions for psycholog- ical disorders. Methods: Based on a systematic search, we detected 18 internet-based studies with 23 independent samples (1,177 participants). Results: The omnibus revealed a moderate effect of r = 0.252, p < 0.001, 95% CI [0.19, 0.31]. The analyses of the subscales indicated that the task compo- nent (r = 0.28) was slightly more predictive than the bond component (rbond = 0.16; QM(3) = 26.85, p < 0.001). None of the investigated moderators indicated significance. Discus- sion: This meta-analysis underlines the assumption that the alliance is a robust facilitative factor across mental health treatments

    Die Allianz als Prädiktor für den Therapieerfolg internetbasierter Interventionen bei psychischen Störungen: Eine korrelative Metaanalyse

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    Zusammenfassung Hintergrund: Die therapeutische Beziehung zwischen Patient*in und Therapeut*in (Allianz) in herkömmlichen Face-to-Face-Interventionen ist einer der am meisten untersuchten Faktoren der Psychotherapie und ein robuster Prädiktor des Therapieerfolgs. Zahlreiche Forschungsergebnisse weisen bei internetbasierten Ansätzen, die einen Kontakt mit Fachleuten beinhalten, auf gute bis sehr gute Behandlungseffekte hin. Bezüglich der Bedeutung der Allianz für den Therapieerfolg internetbasierter Interventionen werden jedoch uneinheitliche Ergebnisse diskutiert. Ziel der vorliegenden Metaanalyse ist, den Zusammenhang zwi­schen Allianz und Therapieerfolg internetbasierter Interventionen systematisch zu untersuchen. Material und Metho­de: Durch die systematische Literaturrecherche konnten 18 Studien zu internetbasierten Interventionen mit 23 unabhängigen Stichproben und 1’177 Teilnehmenden eingeschlossen werden. Ergebnisse: Die gewichtete durchschnitt­liche Gesamt-Effektstärke betrug r = 0,252, p < 0,001, 95% CI [0,19, 0,31], was einen moderaten Zusammenhang mit einer Varianzaufklärung von ungefähr 6% hinsichtlich des Therapieerfolgs darstellt. Dabei war die Übereinstimmung zwischen Patient*in und Therapeut*in bezüglich der Aufgaben innerhalb der Behandlung (rtask = 0,28) leicht prädiktiver für den Therapieerfolg als die emotionale Bindung zum*zur Therapeut*in (rbond = 0,16; QM(3) = 26,85, p < 0,001). Die Effektstärken zeigten sich homogen und es wurden keine signifikanten Moderator-Variablen identifiziert. Diskussionen und Schlussfolgerung: Auch bei internetbasierten Interventionen kommt der Allianz eine wichtige Rolle in Bezug auf den Therapieerfolg zu

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

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    “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

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    We 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

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    We 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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