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This book explores the Dutch post-colonial migrant experience within the context of a wider European debate. Over 60 years and three generations of migration history is presented, while also surveying an impressive body of post-colonial literature, much of which has never reached an international audience. While other research focuses on one or, at most, two groups, post-colonial migrants are treated here as a distinct analytical category with a unique relationship to the receiving society. After all, over 90 per cent were Dutch citizens before even reaching the Netherlands, as they did in huge waves between 1945 and 1980. Together they constitute 6 per cent of today’s Dutch population. So, how did they form their identities? What were relationships with locals like? How have second and third generations responded? Post-Colonial Immigrants and Identity Formations in the Netherlands offers the germane scholarship on one particular country with a particularly rich history to readers worldwide.Dit boek schetst een uniek beeld van de immigranten die tussen 1945 en 1980 vanuit de voormalige koloniën naar Nederland kwamen. De migranten hadden vóór hun komst allemaal een bijzondere relatie met het land van bestemming. Meer dan negentig procent van de migranten was Nederlands staatsburger voordat ze naar Nederland kwamen. Daarnaast plaatst de auteur zijn onderzoek in de context van een bredere Europese discussie. Hoe vormden de immigranten hun identiteit? Wat was hun relatie met de autochtone bevolking? Hoe reageerden de tweede en derde generaties?

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This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses it, but also to recognise the limitations of research that did not use it. The volume also guides the analysis of real-life data sets by introducing and discussing the use of the multilevel modelling software MLwiN, the statistical package that is used with the example data sets. Importantly, the book also makes the training material accessible for download – not only the datasets analysed within the book, but also a freeware version of MLwiN to allow readers to work with these datasets. The book’s practical review of MLA comprises: Theoretical, conceptual, and methodological background Statistical background The modelling process and presentation of research Tutorials with example datasets Multilevel Modelling for Public Health and Health Services Research: Health in Context is a practical and timely resource for public health and health services researchers, statisticians interested in the relationships between contexts and behaviour, graduate students across these disciplines, and anyone interested in utilising multilevel modelling or multilevel analysis. “Leyland and Groenewegen’s wealth of teaching experience makes this book and its accompanying tutorials especially useful for a practical introduction to multilevel analysis.” ̶ Juan Merlo, Professor of Social Epidemiology, Lund University “Comprehensive and insightful. A must for anyone interested in the applications of multilevel modelling to population health”. ̶ S. (Subu) V. Subramanian, Professor of Population Health and Geography, Harvard University ; For researchers and students with a basic mastery of ordinary least squares and logistic regression Discusses multilevel analysis in context of public health, health services research, and epidemiology Includes an online component where users can download the datasets analyzed in the book, and also a freeware version of the multilevel modelling software MLwiN ​​​​​​​Can be used as part of a course on multilevel modelling, or as a self-training text

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