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… Plus…

[ED: Hardcover], [PU: Springer / Springer Netherlands], This book details basic strategies for developing and testing multilevel linear models (MLMs) and drawing casual inferences from such models. It develops procedures for studying social, economic and human development. 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 via meta-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. 2011. xxxix, 535 S. XXXIX, 535 p. With online files/update. 235 mm Versandfertig in 6-10 Tagen, DE, Neuware, gewerbliches Angebot, Offene Rechnung (Vorkasse vorbehalten)<

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… Plus…

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: â?¢Develops procedures for studying social, economic, and human development. â?¢ Uses typologies to group (i.e., classify or nest) the level of random macro-level factors. â?¢ Estimates models with Poisson, binomial, and Gaussian end points using SAS's generalized linear mixed models (GLIMMIX) procedure. â?¢ Selects appropriate covariance structures for generalized linear mixed models. â?¢ Applies difference-in-differences study designs in the multilevel modeling of intervention studies. â?¢Calculates propensity scores by applying Firth logistic regression to Goldberger-corrected data. â?¢ Uses the Kenward-Rogers correction in mixed models of repeated measures. â?¢ Explicates differences between associational and causal analysis of multilevel models. â?¢ Consolidates research findings via meta-analysis and methodological critique. â?¢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. Books > Social Sciences Hard cover, Springer Shop<

2011, ISBN: 9048198542

[EAN: 9789048198542], Neubuch, [PU: Springer Netherlands], SOCIOLOGY SOCIAL SCIENCE METHODOLOGY STATISTICS ASSESSING CAUSAL EFFECTS IN MULTILEVEL MODELS CONTEXTUAL ANALYSIS AND EVALUATIVE… Plus…

[EAN: 9789048198542], Neubuch, [PU: Springer Netherlands], SOCIOLOGY SOCIAL SCIENCE METHODOLOGY STATISTICS ASSESSING CAUSAL EFFECTS IN MULTILEVEL MODELS CONTEXTUAL ANALYSIS AND EVALUATIVE RESEARCH HLM ILLUSTRATIVE USES FOR MLM MODELING OF, Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Illustrates the usefulness of multilevel modeling for the quantification of effects and causal inference.Each core chapter begins with a pressing social problem, Books<

2011, ISBN: 9789048198542

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[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… Plus…

[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 modeling for the quantification of effects and causal inference.Each core chapter begins with a pressing social problem, DE, [SC: 0.00], Neuware, gewerbliches Angebot, Hardcover, 535, [GW: 2160g], 1. Auflage, Banküberweisung, PayPal<

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… Plus…

Multilevel Modeling of Social Problems ab 235.49 € als gebundene Ausgabe: A Causal Perspective. Auflage 2011. Aus dem Bereich: Bücher, Wissenschaft, Politikwissenschaft, Medien > Bücher nein Buch (gebunden), Springer Netherlands<