1,721,029 research outputs found

    sj-docx-5-hpq-10.1177_13591053231168040 – Supplemental material for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study

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    Supplemental material, sj-docx-5-hpq-10.1177_13591053231168040 for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study by Gaia Perego, Federica Cugnata, Chiara Brombin, Francesca Milano, Martina Mazzetti, Paola Taranto, Emanuele Preti, Rossella Di Pierro, Chiara De Panfilis, Fabio Madeddu and Valentina E Di Mattei in Journal of Health Psychology</p

    sj-txt-1-hpq-10.1177_13591053231168040 – Supplemental material for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study

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    sj-txt-1-hpq-10.1177_13591053231168040 for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study by Gaia Perego, Federica Cugnata, Chiara Brombin, Francesca Milano, Martina Mazzetti, Paola Taranto, Emanuele Preti, Rossella Di Pierro, Chiara De Panfilis, Fabio Madeddu and Valentina E Di Mattei in Journal of Health Psychology</p

    sj-pdf-3-hpq-10.1177_13591053231168040 – Supplemental material for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study

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    sj-pdf-3-hpq-10.1177_13591053231168040 for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study by Gaia Perego, Federica Cugnata, Chiara Brombin, Francesca Milano, Martina Mazzetti, Paola Taranto, Emanuele Preti, Rossella Di Pierro, Chiara De Panfilis, Fabio Madeddu and Valentina E Di Mattei in Journal of Health Psychology</p

    sj-RData-4-hpq-10.1177_13591053231168040 – Supplemental material for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study

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    sj-RData-4-hpq-10.1177_13591053231168040 for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study by Gaia Perego, Federica Cugnata, Chiara Brombin, Francesca Milano, Martina Mazzetti, Paola Taranto, Emanuele Preti, Rossella Di Pierro, Chiara De Panfilis, Fabio Madeddu and Valentina E Di Mattei in Journal of Health Psychology</p

    sj-pdf-2-hpq-10.1177_13591053231168040 – Supplemental material for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study

    No full text
    sj-pdf-2-hpq-10.1177_13591053231168040 for Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a Three-Wave Longitudinal Study by Gaia Perego, Federica Cugnata, Chiara Brombin, Francesca Milano, Martina Mazzetti, Paola Taranto, Emanuele Preti, Rossella Di Pierro, Chiara De Panfilis, Fabio Madeddu and Valentina E Di Mattei in Journal of Health Psychology</p

    Iterated combination-based paired permutation tests to determine shape effects of chemotherapy in patients with esophageal cancer

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    The nonparametric combination of dependent permutation tests method is a useful general tool when a testing problem can be broken down into a set of different k &gt; 1 partial tests. These partial tests, after adjustment of p-values to control for multiplicity, can be marginally analyzed, but jointly considered they can provide information on an overall hypothesis, which might represent the true goal of the testing problem. On the one hand, independence among the partial tests is usually an unrealistic assumption; on the other, even when the underlying dependence relations are known quite often they are difficult to cope with properly. Therefore this combination must be achieved nonparametrically, by implicitly taking into account the dependence structure of tests without explicitly describing it. An important property of the tests based on nonparametric combination methodology, when the number of response variables is high compared to the sample sizes, consists in the finite sample consistency. A practical problem involves choosing the most suitable combining function for each specific testing problem given that the final result can be affected by this crucial choice. The purpose of this article is to present an nonparametric combination solution based on the iterated combination of partial tests, evaluate its power behavior using a Monte Carlo simulation study and apply it to a real medical problem, namely the evaluation of the effects of chemotherapy on the shape of esophageal tumors. R code has been implemented to carry out the analyses

    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
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