1,722,358 research outputs found
PSYNDEX Tests Review für QU!S - Qualitätsskala zur inklusiven Schulentwicklung
No full textThis is a PSYNDEX Tests Review of QU!S - Qualitätsskala zur inklusiven Schulentwicklung. PSYNDEX Tests Reviews are written in German and describe and evaluate psychological and educational tests used in the German-speaking countries. PSYNDEX Tests is offered by the Leibniz Institute for Psychology as open access documentation.Das ist ein PSYNDEX Tests Review zu QU!S - Qualitätsskala zur inklusiven Schulentwicklung. PSYNDEX Tests Reviews beschreiben und bewerten zentrale psychologische und pädagogische Testverfahren, die in den deutschsprachigen Ländern eingesetzt werden, nach einem standardisierten Raster. PSYNDEX Tests wird durch das Leibniz-Institut für Psychologie als Open Access Dokumentation angeboten.Diagnostische Zielsetzung: Die "Qualitätsskala zur inklusiven Schulentwicklung (QU!S) - eine Arbeitshilfe auf dem Weg zur inklusiven Schule" hat das Ziel, die inklusive Qualität an bayrischen Schulen reliabel, valide und objektiv zu messen. Aufbau: Bei der Durchführung der QU!S werden fünf Ebenen (Förderung, Unterricht, Team, Schulkonzept, externe Vernetzung) aus dem "Ökologischen Mehrebenenmodell der inklusiven Schulentwicklung" anhand von 25 Qualitätsstandards beobachtet. Jeder Qualitätsstandard wird mit Hilfe von fünf ausformulierten Ausprägungsgraden bewertet. Grundlagen und Konstruktion: Laut den Testautoren wurde die QU!S nach der gängigen Vorgehensweise der Testkonstruktion entwickelt, jedoch könne die inklusive Qualität nicht als latente Variable erfasst werden. Als Grundlage für die Ausformulierung der Qualitätsstandards und Ausprägungsgrade wurde der Leitfaden des Wissenschaftlichen Beirates Inklusion "Profilbildung inklusive Schule - ein Leitfaden für die Praxis" verwendet. Zur Bewertung der inklusiven Qualität dient das "Ökologische Mehrebenenmodell der inklusiven Schulentwicklung" als Grundlage. Die inklusive Qualität umfasst dabei sowohl die Interaktion von allen Beteiligten als auch die inklusive Qualität auf allen fünf Ebenen (Förderung, Unterricht, Team, Schulkonzept, externe Vernetzung) der inklusiven Entwicklung. Empirische Prüfung und Gütekriterien: Reliabilität: Die QU!S erzielte einen Kappa-Koeffizienten nach Cohen von Kappa = .94. Validität: Zur Überprüfung der Validität wurde eine Literaturrecherche, ein Vergleich mit dem "Index für Inklusion" und ein Expertenrating hinsichtlich der Bedeutsamkeit der Items durchgeführt. Nähere Informationen zu diesen Überprüfungen werden im Manual nicht gegeben. Weiterhin gehen die Autoren von einem Expertenkonsens aus, da die QU!S auf dem Leitfaden "Profilbildung inklusive Schule" basiert. Normen: Normen wurden für die QU!S nicht erstellt.publishedVersio
Kurzform der Qualitätsskala zur Inklusiven Schulentwicklung - QU!S-S
Full text linkDie QU!S-Kurzform ist ein Instrument zur Evaluation von fünf Qualitätsebenen inklusiver Schulentwicklung und wurde auf der Basis der umfänglicheren „Qualitätsskala Inklusive Schulentwicklung“ (QU!S®) abgeleitet. Die QU!S® wurde von Heimlich, Wilfert, Ostertag und Gebhardt (2018) entwickelt und im Rahmen des „Begleitforschungsprojektes inklusive Schulentwicklung (B!S)“ (vgl. Heimlich, Kahlert, Lelgemann, & Fischer, 2016) in Bayern erstmals in Schulen eingesetzt. Sie basiert auf dem ökologischen Mehrebenenmodell der inklusiven Schulentwicklung (Heimlich, 2003; 2019). Die QU!S-S (short) wird hingegen stärker als ein Instrument der Selbstevaluation der Schule und als Forschungsinstrument begriffen
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
Author Correction: IRE1α-XBP1s pathway promotes prostate cancer by activating c-MYC signaling
No full textSheng X, Nenseth HZ, Qu S, et al. Author Correction: IRE1alpha-XBP1s pathway promotes prostate cancer by activating c-MYC signaling. Nature Communications . 2024;15(1): 6190
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
Sparse Learning for Linear Twin Parameter-margin Support Vector Machine
No full textTwin Parameter-margin support vector machine (TPMSVM) is a recent very powerful binary classifier. To improve its sparsity, a linear sparse TPMSVM (Lin-STPMSVM) is proposed in this paper. In the primal problem, the vectors defining the hyperplane are replaced with their expression in terms of the dual variables as derived from Karush Khun Tucker (KKT) conditions. Then the new primal problems are directly optimized, thus ensuring the sparsity of the solutions. Numerical experiments show that the solution obtained by new model is more sparse without reducing the accuracy. Therefore, Lin-STPMSVM not only inherits the advantages of TPMSVM, but also has the characteristics of sparsity, stability and robustness in dealing with classification problems
A fast simulation algorithm for the wheel profile wear of high-speed trains considering stochastic parameters
No full textA fast calculation algorithm for the wear evolution of wheel profiles is proposed and results presented with a high-speed train as an example. The dynamics simulation includes the calculation of the vehicle running on a short straight track with random irregularities and the vehicle passing various curves without track excitation. The penetration curves of wheel/rail contact are assumed as the shape of wear distribution in a contact patch, which are calculated after the update of wheel profiles and interpolated in each step of wear calculation. The total wheel wear is the sum of the wear caused by track irregularities and the wear under smooth tracks, such as the straight and curved lines. After each dynamic simulation, several loops for wear calculation and profile update are carried out to smooth the wear curve. Simulation results show that the calculated distribution and average of the wear depth and the equivalent conicity in a reprofile cycle are in good agreement with the measured results. The predicted and measured wear shapes agree reasonably well in the area near the tape circle. Moreover, the proposed method is at least 15 times faster than the traditional wear calculation method and it can consider the influences of the stochastic parameters of the wheel/rail contact
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