Multilevel modeling using R / (Record no. 19209)

MARC details
000 -LEADER
fixed length control field 06896cam a2200625Ki 4500
001 - CONTROL NUMBER
control field 9781351062268
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240409064745.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr |||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190721s2019 flu ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351062268
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1351062263
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351062251
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1351062255
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1351062247
Qualifying information electronic publication
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351062237
Qualifying information Mobipocket electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1351062239
Qualifying information Mobipocket electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351062244
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781138480711
Qualifying information hardcover
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 1138480711
Qualifying information hardcover
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1109749672
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1109749672
040 ## - CATALOGING SOURCE
Original cataloging agency OCoLC-P
Language of cataloging eng
Description conventions rda
Transcribing agency OCoLC-P
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HA31.35
Item number .F56 2019
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT
Subject category code subdivision 029000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code JMB
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.5/5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Finch, W. Holmes
Fuller form of name (William Holmes),
Relator term author.
245 10 - TITLE STATEMENT
Title Multilevel modeling using R /
Statement of responsibility, etc. W. Holmes Finch, Jocelyn E. Bolin, Ken Kelley.
250 ## - EDITION STATEMENT
Edition statement Second edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer CRC Press,
Date of production, publication, distribution, manufacture, or copyright notice [2019]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (1 volume)
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Statistics in the social and behavioral sciences series
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Cover; Half Title; Title Page; Copyright Page; Table of Contents; Authors; 1: Linear Models; Simple Linear Regression; Estimating Regression Models with Ordinary Least Squares; Distributional Assumptions Underlying Regression; Coefficient of Determination; Inference for Regression Parameters; Multiple Regression; Example of Simple Linear Regression by Hand; Regression in R; Interaction Terms in Regression; Categorical Independent Variables; Checking Regression Assumptions with R; Summary; 2: An Introduction to Multilevel Data Structure; Nested Data and Cluster Sampling Designs
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Intraclass CorrelationPitfalls of Ignoring Multilevel Data Structure; Multilevel Linear Models; Random Intercept; Random Slopes; Centering; Basics of Parameter Estimation with MLMs; Maximum Likelihood Estimation; Restricted Maximum Likelihood Estimation; Assumptions Underlying MLMs; Overview of Two-Level MLMs; Overview of Three-Level MLMs; Overview of Longitudinal Designs and Their Relationship to MLMs; Summary; 3: Fitting Two-Level Models in R; Simple (Intercept-Only) Multilevel Models; Interactions and Cross-Level Interactions Using R; Random Coefficients Models using R
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Centering PredictorsAdditional Options; Parameter Estimation Method; Estimation Controls; Comparing Model Fit; lme4 and Hypothesis Testing; Summary; Note; 4: Three-Level and Higher Models; Defining Simple Three-Level Models Using the lme4 Package; Defining Simple Models with More than Three Levels in the lme4 Package; Random Coefficients Models with Three or More Levels in the lme4 Package; Summary; Note; 5: Longitudinal Data Analysis Using Multilevel Models; The Multilevel Longitudinal Framework; Person Period Data Structure; Fitting Longitudinal Models Using the lme4 Package
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Benefits of Using Multilevel Modeling for Longitudinal AnalysisSummary; Note; 6: Graphing Data in Multilevel Contexts; Plots for Linear Models; Plotting Nested Data; Using the Lattice Package; Plotting Model Results Using the Effects Package; Summary; 7: Brief Introduction to Generalized Linear Models; Logistic Regression Model for a Dichotomous Outcome Variable; Logistic Regression Model for an Ordinal Outcome Variable; Multinomial Logistic Regression; Models for Count Data; Poisson Regression; Models for Overdispersed Count Data; Summary; 8: Multilevel Generalized Linear Models (MGLMs)
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note MGLMs for a Dichotomous Outcome VariableRandom Intercept Logistic Regression; Random Coefficients Logistic Regression; Inclusion of Additional Level-1 and Level-2 Effects in MGLM; MGLM for an Ordinal Outcome Variable; Random Intercept Logistic Regression; MGLM for Count Data; Random Intercept Poisson Regression; Random Coefficient Poisson Regression; Inclusion of Additional Level-2 Effects to the Multilevel Poisson Regression Model; Summary; 9: Bayesian Multilevel Modeling; MCMCglmm for a Normally Distributed Response Variable; Including Level-2 Predictors with MCMCglmm; User Defined Priors
520 ## - SUMMARY, ETC.
Summary, etc. Like its bestselling predecessor, Multilevel Modeling Using R, Second Edition provides the reader with a helpful guide to conducting multilevel data modeling using the R software environment. After reviewing standard linear models, the authors present the basics of multilevel models and explain how to fit these models using R. They then show how to employ multilevel modeling with longitudinal data and demonstrate the valuable graphical options in R. The book also describes models for categorical dependent variables in both single level and multilevel data. New in the Second Edition: Features the use of lmer (instead of lme) and including the most up to date approaches for obtaining confidence intervals for the model parameters. Discusses measures of R2 (the squared multiple correlation coefficient) and overall model fit. Adds a chapter on nonparametric and robust approaches to estimating multilevel models, including rank based, heavy tailed distributions, and the multilevel lasso. Includes a new chapter on multivariate multilevel models. Presents new sections on micro-macro models and multilevel generalized additive models. This thoroughly updated revision gives the reader state-of-the-art tools to launch their own investigations in multilevel modeling and gain insight into their research. About the Authors: W. Holmes Finch is the George and Frances Ball Distinguished Professor of Educational Psychology at Ball State University. Jocelyn E. Bolin is a Professor in the Department of Educational Psychology at Ball State University. Ken Kelley is the Edward F. Sorin Society Professor of IT, Analytics and Operations and the Associate Dean for Faculty and Research for the Mendoza College of Business at the University of Notre Dame.
583 ## - ACTION NOTE
Action Cataloging Notes:
Time/date of action 20240409
Action agent AMIU-3094AMIU-3094
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences
General subdivision Statistical methods.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Multivariate analysis.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element R (Computer program language)
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MATHEMATICS / Probability & Statistics / General
Source of heading or term bisacsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bolin, Jocelyn E.,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kelley, Ken
Titles and other words associated with a name (Professor of information technology),
Relator term author.
856 40 - ELECTRONIC LOCATION AND ACCESS
Materials specified Read Online
Uniform Resource Identifier <a href="https://www.taylorfrancis.com/books/9781351062268">https://www.taylorfrancis.com/books/9781351062268</a>
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified OCLC metadata license agreement
Uniform Resource Identifier <a href="http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type eBook

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