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in modernen Gesellschaften ist der Gedanke weit verbreitet, dass soziale Netzwerk eine große Leistungsfähigkeit bei der Generierung von Problemlösungen besitzen und andere Formen der Handlungskoordination, beispielsweise der bürokratischen Organisation, oftmals überlegen sind. Netzwerke verknüpfen Flexibilität und Effizienz in einer einzigartigen Weise. Sie machen zudem das Risiko innovativen Handelns kalkulierbar, weil sich die kooperierenden Partner wechselseitig absichern. Das Werk liefert anhand unterschiedlicher gesellschaftlicher Handlungsfelder Einblicke in die Praktiken einer vernetzten Gesellschaft. Es präsentiert zudem Bausteine einer soziologischen Theorie sozialer Netzwerke.
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This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.
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In How Social Science Got Better, Matt Grossmann provides a robust defense of the current state of the social sciences. He focuses in particular on the salutary innovations in research methods and the broadening of subject matter that academics deem worthy of inquiry. He offers a wide-ranging account of current research trends that will necessarily force the academy's many critics to rethink their lazy critiques and instead acknowledge the path- breaking advances in knowledge occurring in the social sciences today.
Social sciences --- Research. --- Methodology. --- Social science research
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Materials scientists. --- Materials science research. --- Physical scientists
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A practical guide to finding your research topic, for social scientists of all fields who wish to improve their creativity and productivity. It should be of interest to readers who are just setting out and looking for thesis topics, as well as those who have been ploughing the fields for some time and wish to explore new areas.
Social sciences --- Research. --- Methodology. --- Social science research
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Library research --- Library science --- Information science --- Research --- Library science - Research --- Information science - Research
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Libraries --- Libraries. --- Social Science Research Council (U.S.). --- Social Science Research Council (U.S.). --- United States.