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      Nachfrage und Auslastung von Fortbildungen für Lehrerinnen und Lehrer: Effekte struktureller und inhaltlicher Angebotsmerkmale

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      Zeitschrift für Erziehungswissenschaft
      Springer Science and Business Media LLC

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          Zusammenfassung

          Fortbildungen kommt in der berufslebenslangen Professionalisierung von Lehrpersonen eine wichtige Funktion zu. Bislang wurde primär zu deren Wirksamkeit oder zu Merkmalen der Teilnehmenden geforscht. Das Angebot an Fortbildungen wurde kaum untersucht und steht im Fokus dieser Studie: Strukturelle sowie inhaltliche Merkmale der Fortbildungen werden beschrieben und empirische Zusammenhänge mit deren Nachfrage und Auslastung hergestellt. Die Datengrundlage bilden Ausschreibungen von N = 6240 regionalen, schulexternen Fortbildungen, die im Zeitraum eines Jahres unter Verantwortung des Kultusministeriums in Baden-Württemberg angeboten wurden. Ausgehend von inhaltsanalytischen Kodierungen der Angebotsbeschreibungen wird regressionsanalytisch gezeigt, dass eine höhere Nachfrage sowie Auslastung nicht nur durch die Dauer der Fortbildungen, sondern auch durch deren Fachbezug sowie deren Inhalte erklärt werden können. Implikationen für die Fortbildungsplanung und für weitere Forschung werden diskutiert.

          Abstract

          Continuing education plays an important role in the professionalization of teachers. Whereas past studies have focused on the effectiveness of professional development programs, little attention has been paid to the structure and content of the programs themselves. In this study structural and content-related features of professional development courses are described, and empirical correlations with demand and participation rate are established. The analyses are based on a dataset with descriptions of N = 6240 professional development courses offered for all teachers during the course of one year under the responsibility of the ministry of education and cultural affairs in Baden-Wuerttemberg, Germany. Based on a content analysis of the course descriptions, a regression analysis shows that a higher demand and participation rate can not only be explained by the duration of the courses, but also by the subjects and the topics they address. Lastly, possible implications for the planning of professional development courses and for further research are discussed.

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          lavaan: AnRPackage for Structural Equation Modeling

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            Missing data analysis: making it work in the real world.

            This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. Practical missing data analysis issues are discussed, most notably the inclusion of auxiliary variables for improving power and reducing bias. Solutions are given for missing data challenges such as handling longitudinal, categorical, and clustered data with normal-model MI; including interactions in the missing data model; and handling large numbers of variables. The discussion of attrition and nonignorable missingness emphasizes the need for longitudinal diagnostics and for reducing the uncertainty about the missing data mechanism under attrition. Strategies suggested for reducing attrition bias include using auxiliary variables, collecting follow-up data on a sample of those initially missing, and collecting data on intent to drop out. Suggestions are given for moving forward with research on missing data and attrition.
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              Answering the Call for a Standard Reliability Measure for Coding Data

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Zeitschrift für Erziehungswissenschaft
                Z Erziehungswiss
                Springer Science and Business Media LLC
                1434-663X
                1862-5215
                October 2021
                September 01 2021
                October 2021
                : 24
                : 5
                : 1183-1204
                Article
                10.1007/s11618-021-01030-7
                15e915e7-27f0-409c-b698-c4574c9ac73a
                © 2021

                https://creativecommons.org/licenses/by/4.0

                https://creativecommons.org/licenses/by/4.0

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