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    Supplemental Material (Teacher-Student Relationships and Student Outcomes: A Systematic Second-Order Meta-Analytic Review)

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    Teacher-student relationships (TSRs) play a vital role in establishing a positive classroom climate and promoting positive student outcomes. Several meta-analyses have suggested significant correlations between positive TSRs and, for example, academic achievement, motivation, executive functions, and well-being, as well as between negative TSRs that result in behavior problems or bullying. However, these meta-analyses have differed substantially in TSR-outcome relationships, moderators, and methodological quality, thus complicating the interpretation of these findings. In this preregistered systematic review of meta-analyses plus original second-order meta-analyses (SOMAs), we aimed to (a) synthesize the meta-analytic evidence on relations between TSRs and student outcomes, (b) map influential moderators of these relations, and (c) assess the methodological quality of the meta-analyses. We synthesized over 70 years of educational research in 26 meta-analyses encompassing 119 meta-analytic effect sizes based on over 2.62 million prekindergarten and K-12 students. We conducted several three-level SOMAs and found that TSRs had similar large significant relations with eight clusters of student outcomes: academic achievement, academic emotions, appropriate student behavior, behavior problems, executive functions and self-control, motivation, school belonging and engagement, and well-being. The link with bullying was only marginally significant. Our moderator analyses suggested a larger TSR-outcome link for middle and high school students. Although more recent meta-analyses fulfilled more methodological quality criteria, these differences were not associated with TSR-outcome relations. These results map the field of TSR research; present their relations, moderators, and methodologic quality in meta-analyses; and show how TSRs are equally important for a wide range of student outcomes and samples. Future meta-analytic research should follow open science procedures to improve the quality and reproducibility of the evidence base. Keywords: teacher-student relationships, academic achievement, well-being, second-order meta-analysis, school students The content of this folder is licensed under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). You may share and adapt all content of this folder, as long as appropriate credit is given. For re-use of this data for publication, please contact the first author, Valentin Emslander

    Teacher-Student Relationships and Student Outcomes: A Systematic Second-Order Meta-Analytic Review

    No full text
    Teacher-student relationships (TSRs) play a vital role in establishing a positive classroom climate and promoting positive student outcomes. Several meta-analyses have suggested significant correlations between positive TSRs and, for example, academic achievement, motivation, executive functions, and well-being, as well as between negative TSRs that result in behavior problems or bullying. However, these meta-analyses have differed substantially in TSR-outcome relationships, moderators, and methodological quality, thus complicating the interpretation of these findings. In this preregistered systematic review of meta-analyses plus original second-order meta-analyses (SOMAs), we aimed to (a) synthesize the meta-analytic evidence on relations between TSRs and student outcomes, (b) map influential moderators of these relations, and (c) assess the methodological quality of the meta-analyses. We synthesized over 70 years of educational research in 26 meta-analyses encompassing 119 meta-analytic effect sizes based on over 2.62 million prekindergarten and K-12 students. We conducted several three-level SOMAs and found that TSRs had similar large significant relations with eight clusters of student outcomes: academic achievement, academic emotions, appropriate student behavior, behavior problems, executive functions and self-control, motivation, school belonging and engagement, and well-being. The link with bullying was only marginally significant. Our moderator analyses suggested a larger TSR-outcome link for middle and high school students. Although more recent meta-analyses fulfilled more methodological quality criteria, these differences were not associated with TSR-outcome relations. These results map the field of TSR research; present their relations, moderators, and methodologic quality in meta-analyses; and show how TSRs are equally important for a wide range of student outcomes and samples. Future meta-analytic research should follow open science procedures to improve the quality and reproducibility of the evidence base. Keywords: teacher-student relationships, academic achievement, well-being, second-order meta-analysis, school students The content of this folder is licensed under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). You may share and adapt all content of this folder, as long as appropriate credit is given. For re-use of this data for publication, please contact the first author, Valentin Emslander

    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

    Author Index

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