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2011, ISBN: 9789048198542
[ED: Hardcover], [PU: Springer / Springer Netherlands], This book details basic strategies for developing and testing multilevel linear models (MLMs) and drawing casual inferences from su… Más…
ISBN: 9789048198542
Uniquely focusing on intersections of social problems, multilevel statistical modeling, and causality; the substantively and methodologically integrated chapters of this book clarify basi… Más…
2011
ISBN: 9048198542
[EAN: 9789048198542], Neubuch, [PU: Springer Netherlands], SOCIOLOGY SOCIAL SCIENCE METHODOLOGY STATISTICS ASSESSING CAUSAL EFFECTS IN MULTILEVEL MODELS CONTEXTUAL ANALYSIS AND EVALUATIVE… Más…
2011, ISBN: 9789048198542
Pasta dura
[ED: Gebunden], [PU: Springer Netherlands], Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illustrates the usefulness of multilevel model… Más…
2011, ISBN: 9789048198542
Multilevel Modeling of Social Problems ab 235.49 € als gebundene Ausgabe: A Causal Perspective. Auflage 2011. Aus dem Bereich: Bücher, Wissenschaft, Politikwissenschaft, Medien > Bücher n… Más…
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Detalles del libro - Multilevel Modeling of Social Problems
EAN (ISBN-13): 9789048198542
ISBN (ISBN-10): 9048198542
Tapa dura
Tapa blanda
Año de publicación: 2011
Editorial: Springer Netherlands
535 Páginas
Peso: 0,988 kg
Idioma: eng/Englisch
Libro en la base de datos desde 2009-08-26T21:04:38-05:00 (Mexico City)
Página de detalles modificada por última vez el 2022-11-21T05:37:32-06:00 (Mexico City)
ISBN/EAN: 9789048198542
ISBN - escritura alterna:
90-481-9854-2, 978-90-481-9854-2
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: smith, robert
Título del libro: perspective, multilevel modeling using, social problems
Datos del la editorial
Autor: Robert B. Smith
Título: Multilevel Modeling of Social Problems - A Causal Perspective
Editorial: Springer; Springer Netherland
535 Páginas
Año de publicación: 2011-03-02
Dordrecht; NL
Impreso en
Idioma: Inglés
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
POD
XXXIX, 535 p. With online files/update.
BB; Hardcover, Softcover / Soziologie; Soziologie; Verstehen; Assessing Causal Effects in Multilevel Models; Contextual Analysis and Multilevel Models; Evaluative Research and Multilevel Models; HLM; Illustrative Uses for Multilevel Models; MLM; Multilevel Modeling of Social Problems; Notions of Causality; Sociological Methods; Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy; Sozialforschung und -statistik; EA; BC
Uniquely focusing on intersections of social problems, multilevel statistical modeling, and causality, the substantively and methodologically integrated chapters of this book clarify basic strategies for developing and testing multilevel linear models (MLMs), and drawing casual inferences from such models. These models are also referred to as hierarchical linear models (HLMs) or mixed models. The statistical modeling of multilevel data structures enables researchers to combine contextual and longitudinal analyses appropriately. But researchers working on social problems seldom apply these methods, even though the topics they are studying and the empirical data call for their use. By applying multilevel modeling to hierarchical data structures, this book illustrates how the use of these methods can facilitate social problems research and the formulation of social policies. It gives the reader access to working data sets, computer code, and analytic techniques, while at the same time carefully discussing issues of causality in such models. This book innovatively: • Develops procedures for studying social, economic, and human development. • Uses typologies to group (i.e., classify or nest) the level of random macro-level factors. • Estimates models with Poisson, binomial, and Gaussian end points using SAS's generalized linear mixed models (GLIMMIX) procedure. • Selects appropriate covariance structures for generalized linear mixed models. • Applies difference-in-differences study designs in the multilevel modeling of intervention studies. • Calculates propensity scores by applying Firth logistic regression to Goldberger-corrected data. • Uses the Kenward-Rogers correction in mixed models of repeated measures. • Explicates differences between associational and causal analysis of multilevel models. • Consolidates research findings viameta-analysis and methodological critique. • Develops criteria for assessing a study's validity and zone of causality. Because of its social problems focus, clarity of exposition, and use of state-of-the-art procedures, policy researchers, methodologists, and applied statisticians in the social sciences (specifically, sociology, social psychology, political science, education, and public health) will find this book of great interest. It can be used as a primary text in courses on multilevel modeling or as a primer for more advanced texts.Illustrates the usefulness of multilevel modeling for the quantification of effects and causal inference. Each core chapter begins with a pressing social problem that motivates theoretical analysis, gathering of relevant data and application of appropriate statistical procedures. This book uniquely focuses on the intersection of social problems, multilevel modeling, and causality. Includes supplementary material: sn.pub/extras
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