Jorg Blasius – författare
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4 produkter
4 produkter
Inbunden, Engelska, 2008
2 141 kr
Skickas inom 10-15 vardagar
Many policies in several Western European countries and the U.S. aim to counter spatial concentrations of deprivation and create more socio-economically mixed residential areas. Such policies are founded on the belief that neighbourhoods have a strong and independent effect upon the well-being and life-chances of individuals. The adequacy of the evidence base to support this position has been the subject of spirited debate on both sides of the Atlantic. The primary purpose of this book is to contribute to this policy-relevant discussion by presenting new scholarship from many countries that rigorously quantifies various sorts of neighbourhood effects through the use of cutting-edge social scientific techniques. The secondary purpose of this book is to introduce these techniques to a wider array of housing and planning researchers and to show how a variety of disciplines have offered insightful, synergistic perspectives. Research on neighbourhood effects has over the last 15 years led to a body of knowledge extending far beyond the sociological urban research where it originated. The problem of quantifying neighbourhood effects and the use of associated methodologies (like multi-level analysis, instrumental variables) has attracted scholars from criminology, sociology, social geography, economics and health science, and thus serves as a critical locus for interdisciplinary scholarship.This book was previously published as a special issue of Housing Studies.
Häftad, Engelska, 2016
684 kr
Skickas inom 10-15 vardagar
Many policies in several Western European countries and the U.S. aim to counter spatial concentrations of deprivation and create more socio-economically mixed residential areas. Such policies are founded on the belief that neighbourhoods have a strong and independent effect upon the well-being and life-chances of individuals. The adequacy of the evidence base to support this position has been the subject of spirited debate on both sides of the Atlantic. The primary purpose of this book is to contribute to this policy-relevant discussion by presenting new scholarship from many countries that rigorously quantifies various sorts of neighbourhood effects through the use of cutting-edge social scientific techniques. The secondary purpose of this book is to introduce these techniques to a wider array of housing and planning researchers and to show how a variety of disciplines have offered insightful, synergistic perspectives. Research on neighbourhood effects has over the last 15 years led to a body of knowledge extending far beyond the sociological urban research where it originated. The problem of quantifying neighbourhood effects and the use of associated methodologies (like multi-level analysis, instrumental variables) has attracted scholars from criminology, sociology, social geography, economics and health science, and thus serves as a critical locus for interdisciplinary scholarship.This book was previously published as a special issue of Housing Studies.
Inbunden, Engelska, 2014
2 212 kr
Skickas inom 10-15 vardagar
Visualization and Verbalization of Data shows how correspondence analysis and related techniques enable the display of data in graphical form, which results in the verbalization of the structures in data. Renowned researchers in the field trace the history of these techniques and cover their current applications.The first part of the book explains the historical origins of correspondence analysis and associated methods. The second part concentrates on the contributions made by the school of Jean-Paul Benzécri and related movements, such as social space and geometric data analysis. Although these topics are viewed from a French perspective, the book makes them understandable to an international audience.Throughout the text, well-known experts illustrate the use of the methods in practice. Examples include the spatial visualization of multivariate data, cluster analysis in computer science, the transformation of a textual data set into numerical data, the use of quantitative and qualitative variables in multiple factor analysis, different possibilities of recoding data prior to visualization, and the application of duality diagram theory to the analysis of a contingency table.
Inbunden, Engelska, 2006
2 366 kr
Skickas inom 10-15 vardagar
As a generalization of simple correspondence analysis, multiple correspondence analysis (MCA) is a powerful technique for handling larger, more complex datasets, including the high-dimensional categorical data often encountered in the social sciences, marketing, health economics, and biomedical research. Until now, however, the literature on the subject has been scattered, leaving many in these fields no comprehensive resource from which to learn its theory, applications, and implementation.Multiple Correspondence Analysis and Related Methods gives a state-of-the-art description of this new field in an accessible, self-contained, textbook format. Explaining the methodology step-by-step, it offers an exhaustive survey of the different approaches taken by researchers from different statistical "schools" and explores a wide variety of application areas. Each chapter includes empirical examples that provide a practical understanding of the method and its interpretation, and most chapters end with a "Software Note" that discusses software and computational aspects. An appendix at the end of the book gives further computing details along with code written in the R language for performing MCA and related techniques. The code and the datasets used in the book are available for download from a supporting Web page.Providing a unique, multidisciplinary perspective, experts in MCA from both statistics and the social sciences contributed chapters to the book. The editors unified the notation and coordinated and cross-referenced the theory across all of the chapters, making the book read seamlessly. Practical, accessible, and thorough, Multiple Correspondence Analysis and Related Methods brings the theory and applications of MCA under one cover and provides a valuable addition to your statistical toolbox.