Multilevel Modeling of Social Problems: A Causal Perspective
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…
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Produktdetails
- ISBN: 978-90-481-9854-2
- EAN: 9789048198542
- Produktnummer: 8038527
- Verlag: Springer Nature
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 535 S.
- Masse: H24.0 cm x B16.5 cm x D4.3 cm 988 g
- Auflage: 2011
- Gewicht: 988
Über den Autor
Robert B. Smith (Ph.D. Columbia University, 1971) taught political sociology, research methods, and theory development at the University of California, Santa Barbara. His research there focused on the social consequences of war, generalizations of path analysis, and computer simulations of social processes. Since then, he has worked extensively in applied research. His publications include articles on political and social processes, and on multilevel models bearing on human development. He was the primary editor of the three volumes of the A Handbook of Social Science Methods, which link qualitative and quantitative methods, and he is the author of Cumulative Social Inquiry: Transforming Novelty into Innovation. His recent research at the Cambridge-MIT Institute assesses student exchange programs and pedagogical experiments. As senior statistician he worked on software for randomized trials, exact statistics, and Bayesian simulations at Cytel Inc., and is an advisory editor of Quality & Quantity. He was a Fulbright lecturer in structural sociology at Ghent University, Belgium, and he has served as president of the Boston chapter of the American Statistical Association. He resides in Cambridge, Massachusetts where he directs his social structural research.
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