Handbook of Multilevel Analysis (Record no. 38479)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 5000032
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221213140637.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2008 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387731865
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-0-387-73186-5
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number 978-0-387-73186-5
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
090 ## - IMPA CODE FOR CLASSIFICATION SHELVES
IMPA CODE FOR CLASSIFICATION SHELVES Matemáticas Gerais-(inclusive alguns textos elementares sobre assuntos específicos)
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Leeuw, Jan de
9 (RLIN) 25375
245 10 - TITLE STATEMENT
Title Handbook of Multilevel Analysis
Medium [electronic resource]/
Statement of responsibility, etc. edited by Jan de Leeuw, Erik Meijer.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York:
Name of publisher, distributor, etc. Springer New York,
Date of publication, distribution, etc. 2008.
300 ## - PHYSICAL DESCRIPTION
Other physical details digital.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction to multilevel analysis, Jan de Leeuw, Erik Meijer -- Bayesian multilevel analysis and MCMC, David Draper -- Diagnostic checks for multilevel models, Tom A.B. Snijders, Johannes Berkhof -- Optimal designs for multilevel studies, Mirjam Moerbeek, Gerard J.P. Van Breukelen, Martijn P.F. Berger -- Many small groups, Stephen W. Raudenbush -- Multilevel models for ordinal and nominal variables, Donald Hedeker -- Multilevel and related models for longitudinal data, Anders Skrondal, Sophia Rabe-Hesketh -- Non-hierarchical multilevel models, Jon Rasbash, William J. Browne -- Multilevel generalized linear models, Germán Rodríguez -- Missing Data, Nicholas T. Longford -- Resampling multilevel models, Rien van der Leeden, Erik Meijer, Frank M.T.A. Busing -- Multilevel structural equation modeling, Stephen H.C. du Toit, Mathilda du Toit .
520 ## - SUMMARY, ETC.
Summary, etc. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the bio-medical sciences. The models used for this type of data are linear and nonlinear regression models that account for observed and unobserved heterogeneity at the various levels in the data. This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. The authors of the chapters are the leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is useful for empirical researchers in these fields. Prior knowledge of multilevel analysis is not required, but a basic knowledge of regression analysis, (asymptotic) statistics, and matrix algebra is assumed. Jan de Leeuw is Distinguished Professor of Statistics and Chair of the Department of Statistics, University of California at Los Angeles. He is former president of the Psychometric Society, former editor of the Journal of Educational and Behavioral Statistics, founding editor of the Journal of Statistical Software, and editor of the Journal of Multivariate Analysis. He is coauthor (with Ita Kreft) of Introducing Multilevel Modeling and a member of the Albert Gifi team who wrote Nonlinear Multivariate Analysis. Erik Meijer is Economist at the RAND Corporation and Assistant Professor of Econometrics at the University of Groningen. He is coauthor (with Tom Wansbeek) of the highly acclaimed book Measurement Error and Latent Variables in Econometrics .
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Statistics.
9 (RLIN) 43790
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Epidemiology.
9 (RLIN) 37814
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics
9 (RLIN) 43558
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Econometrics
9 (RLIN) 4014
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Methodology
9 (RLIN) 31380
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Psychometrics.
9 (RLIN) 22831
697 ## - LOCAL SUBJECT
Local Subject Matemáticas Gerais-
Description subdivision (inclusive alguns textos elementares sobre assuntos específicos)
Linkage 23752
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Meijer, Erik
9 (RLIN) 9201
710 1# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service).
9 (RLIN) 8857
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9780387731834
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-0-387-73186-5">http://dx.doi.org/10.1007/978-0-387-73186-5</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Instituto de Matemática Pura e Aplicada
Koha item type E-Book

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