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001			978-90-481-9855-9
003			DE-He213
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007			cr nn 008mamaa
008			110224s2011 ne | s |||| 0|eng d
020			_a9789048198559 _9978-90-481-9855-9
024	7		_a10.1007/978-90-481-9855-9 _2doi
050		4	_aH61-61.95
072		7	_aJHBC _2bicssc
072		7	_aSOC019000 _2bisacsh
082	0	4	_a300.1 _223
100	1		_aSmith, Robert B. _eauthor.
245	1	0	_aMultilevel Modeling of Social Problems _h[electronic resource] : _bA Causal Perspective / _cby Robert B. Smith.
264		1	_aDordrecht : _bSpringer Netherlands, _c2011.
300			_aXXXIX, 535p. 49 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aContents -- Preface and Acknowledgements -- List of Tables and Figures -- Overview of Book Chapters -- Part 1, Introductory Essays -- 1.Contextual Analysis and Multilevel Models -- 2.Stable Association and Potential Outcomes -- 3.Dependency Networks -- 4.Uses for Multilevel Models -- Part 2, Contextual Studies -- 5.Global Human Development -- 6.A Globalized Conflict -- 7.Will Claims Workers Dislike a Fraud Detector? -- Part 3, Evaluative Research -- 8.Target, Matched, and Not-Matched Schools -- 9.Using Propensity Scores -- Part 4, Research Summaries -- 10.Gatekeepers and Sentinels -- 11.Childhood Vaccinations and Autism -- 12.Conclusion: Gauging Causality in Multilevel Models -- Acronyms -- Glossary -- References -- Index.
520			_aUniquely 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.
650		0	_aSocial sciences.
650		0	_aStatistics.
650		0	_aSocial sciences _xMethodology.
650	1	4	_aSocial Sciences.
650	2	4	_aMethodology of the Social Sciences.
650	2	4	_aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789048198542
856	4	0	_uhttp://dx.doi.org/10.1007/978-90-481-9855-9
912			_aZDB-2-SHU
999			_c109106 _d109106