Martin Rehm - Böcker

Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation.This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers. This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars.

Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation.This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers. This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars.

Statistische Auswertung - selbst gemacht!Der in dem vorliegenden Buch beschriebene Zugang über SAS® OnDemand for Academics (SODA) erlaubt einen kostenfreien, browser-basierten Zugang zur SAS-Software. Dabei können unter SAS Studio in einer menügesteuerten Oberfläche statistische Auswertungen ausgeführt werden. Die Oberfläche ist auch in einer deutschsprachigen Version verfügbar.Das Buch wurde so konzipiert, dass es sich hervorragend zum Selbststudium eignet. Zu Beginn wird eine Einführung in die Benutzung der SAS Studio Oberfläche gegeben. Anhand eines Beispieldatensatzes werden deskriptive Statistik, Korrelation/Regression, statistische Tests, Überlebenszeitanalyse sowie Fallzahlplanung mit zahlreichen Screen-Shots nachvollziehbar dargestellt. Eine Anleitung zur kostenlosen Registrierung von SAS-SODA ist ebenfalls enthalten. Darüber hinaus werden praktische Tipps zur Nutzung und Datenaufbereitung gegeben.So können Sie Ihre statistische Auswertung sicher und schnell selbst erledigen.Die AutorenDr. Gisela Büchele und Martin Rehm sind wissenschaftliche Mitarbeiter am Institut für Epidemiologie und Medizinische Biometrie, Ulm.Prof. Dr. Rainer Muche ist stellvertretender Institutsdirektor des Instituts für Epidemiologie und Medizinische Biometrie, Ulm.