| 书目名称 | Multilevel Modeling of Social Problems | | 副标题 | A Causal Perspective | | 编辑 | Robert B. Smith | | 视频video | | | 概述 | 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, g | | 图书封面 |  | | 描述 | 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 | | 出版日期 | Book 2011 | | 关键词 | Assessing Causal Effects in Multilevel Models; Contextual Analysis and Multilevel Models; Evaluative R | | 版次 | 1 | | doi | https://doi.org/10.1007/978-90-481-9855-9 | | isbn_softcover | 978-94-017-8431-3 | | isbn_ebook | 978-90-481-9855-9 | | copyright | Springer Science+Business Media B.V. 2011 |
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发表于 2025-3-21 17:46:46
