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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.

Social sciences --- Social science research --- Research.

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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.

Social sciences --- Social science research --- Research.

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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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The most important step in social science research is the first step - finding a topic. Unfortunately, little guidance on this crucial and difficult challenge is available. Methodological studies and courses tend to focus on theory testing rather than theory generation. This book aims to redress that imbalance. The first part of the book offers an overview of the book's central concerns. How do social scientists arrive at ideas for their work? What are the different ways in which a study can contribute to knowledge in a field? The second part of the book offers suggestions about how to think creatively, including general strategies for finding a topic and heuristics for discovery. The third part of the book shows how data exploration may assist in generating theories and hypotheses. The fourth part of the book offers suggestions about how to fashion disparate ideas into a theory.

Social sciences --- Research. --- Methodology. --- Social science research

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Social sciences --- Social science research --- Research --- Social sciences - Research