//]]>

Multilevel Modeling of Social Problems (Record no. 16068)

000 -LEADER
fixed length control field 04548nam a22004095i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310145538.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110224s2011 ne | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789048198559
978-90-481-9855-9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number H61-61.95
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 300.1
Edition number 23
264 #1 -
-- Dordrecht :
-- Springer Netherlands,
-- 2011.
912 ## -
-- ZDB-2-SHU
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Smith, Robert B.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Multilevel Modeling of Social Problems
Medium [electronic resource] :
Remainder of title A Causal Perspective /
Statement of responsibility, etc by Robert B. Smith.
300 ## - PHYSICAL DESCRIPTION
Extent XXXIX, 535p. 49 illus.
Other physical details online resource.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Contents -- 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 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social sciences.
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Social sciences
General subdivision Methodology.
Topical term or geographic name as entry element Social Sciences.
Topical term or geographic name as entry element Methodology of the Social Sciences.
Topical term or geographic name as entry element Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9789048198542
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-90-481-9855-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-02AUM Main Library2014-04-02 2014-04-02 E-Book   AUM Main Library300.1

Languages: 
English |
العربية