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    Rating conference

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    The following text introduces a relatively new mixed-method instrument called “rating conference.” It combines a short preceding questionnaire (“rating”) with a subsequent structured focus group interview (“conference”). A core characteristic of a rating conference is the integration of qualitative and quantitative data assessment: Individual item ratings are transferred onto a sheet or screen visible to all participants, which stimulates and guides a subsequent group discussion. While the rating of the questionnaire items gives a quick overview of the participants’ general perspectives on a given topic, the subsequent focus group discussion uncovers an individual’s experiences, attitudes, evaluations, and emotions with regard to the ratings and in the light of a group view. Thus, the integration of the two methods into one instrument reveals an individual’s as well as a collective perspective on the research topic and helps to understand distinct as well as shared knowledge. In the case of the assessment of several rating conferences, comparisons between different groups can be drawn

    Rating conference

    No full text
    The following text introduces a relatively new mixed-method instrument called “rating conference.” It combines a short preceding questionnaire (“rating”) with a subsequent structured focus group interview (“conference”). A core characteristic of a rating conference is the integration of qualitative and quantitative data assessment: Individual item ratings are transferred onto a sheet or screen visible to all participants, which stimulates and guides a subsequent group discussion. While the rating of the questionnaire items gives a quick overview of the participants’ general perspectives on a given topic, the subsequent focus group discussion uncovers an individual’s experiences, attitudes, evaluations, and emotions with regard to the ratings and in the light of a group view. Thus, the integration of the two methods into one instrument reveals an individual’s as well as a collective perspective on the research topic and helps to understand distinct as well as shared knowledge. In the case of the assessment of several rating conferences, comparisons between different groups can be drawn

    Mixed structural group interaction analysis

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    In this chapter, we advocate for an approach in which a pre-study is integrated in research into group interactions: Mixed Structural Group Interaction Analysis. The aim of the pre-study is to collect data on latent social relationships that informs the data collection, analysis, and interpretation of the main research. Based on theories and empirical insight from social network analysis, we address the “why” and “how” of this argument. Specifically, we show how a relational pre-study could be integrated with group interaction data collection and analysis in a development-type mixed-methods research design

    Co-evolution models of longitudinally measured interactions

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    Longitudinal social networks analysis enables us to investigate interactions among group members over time. It allows to model individuals’ positions within groups and personal characteristics or attributes simultaneously and how they change over time. One of the main fundamental mechanisms of relationship formation is homophily, which means that individuals are intended to connect to someone else who is similar to them in terms of background characteristics or behavior. The question arises whether individuals select each other because they are similar or whether they do become more similar over time. Longitudinal network analysis provides the possibility to disentangle selection effects from influence effects, that is, what effects can be explained through individuals selecting specific other group members versus how individuals’ behaviors or characteristics are influenced by the interaction with others within a certain context and at a certain moment. This chapter provides a guideline how to conduct longitudinal social network analysis to analyze group interactions, including the basics of stochastic actor-based modeling.<br/

    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

    Newly Qualified Teachers' Well-Being During the COVID-19 Pandemic: Testing a Social Support Intervention Through Design-Based Research.

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    Around the world, newly qualified teachers are leaving the profession after only a short time working at school. This not only has a negative effect on the capacities of the respective education systems, but also for the teachers themselves, as it often due to factors such as stress and burnout that leads to this decision. The COVID-19 pandemic has exacerbated this situation by adding to the teachers' workload, uncertainty, and stress. Previous research has investigated strategies that may help teachers improve their well-being and, among other factors, found social support to be an important condition. In this mixed methods design-based research study, we developed a design to enhance social support among newly qualified teachers in their first months working at school. Our quantitative and qualitative results show that the design has positive effects on many aspects of teachers' well-being in the intervention group both longitudinally (before and after the intervention) and when compared to a comparison group. The findings are being discussed considering the recent changes in the working conditions of teachers as imposed by the COVID-19 pandemic

    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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