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Handbook of Advanced Multilevel - couverture rigide, par Hox Joop ; Roberts - Bon
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Numéro de l'objet eBay :145730022067
Dernière mise à jour : juin 05, 2024 04:33:56 HAEAfficher toutes les modificationsAfficher toutes les modifications
Caractéristiques de l'objet
- État
- Book Title
- Handbook of Advanced Multilevel Analysis (European Association of
- ISBN
- 9781841697222
- Subject Area
- Education, Psychology, Mathematics, Social Science
- Publication Name
- Handbook of Advanced Multilevel Analysis
- Item Length
- 10.2 in
- Publisher
- Routledge
- Subject
- Probability & Statistics / Multivariate Analysis, General, Statistics
- Publication Year
- 2010
- Series
- European Association of Methodology Ser.
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.1 in
- Item Width
- 7.1 in
- Item Weight
- 32.1 Oz
- Number of Pages
- 408 Pages
À propos de ce produit
Product Information
This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors assembled the top minds in the field to address the latest applications of multilevel modeling as well as the specific difficulties and methodological problems that are becoming more common as more complicated models are developed. Each chapter features examples that use actual datasets. These datasets, as well as the code to run the models, are available on the book's website http://www.hlm-online.com . Each chapter includes an introduction that sets the stage for the material to come and a conclusion. Divided into five sections, the first provides a broad introduction to the field that serves as a framework for understanding the latter chapters. Part 2 focuses on multilevel latent variable modeling including item response theory and mixture modeling. Section 3 addresses models used for longitudinal data including growth curve and structural equation modeling. Special estimation problems are examined in section 4 including the difficulties involved in estimating survival analysis, Bayesian estimation, bootstrapping, multiple imputation, and complicated models, including generalized linear models, optimal design in multilevel models, and more. The book's concluding section focuses on statistical design issues encountered when doing multilevel modeling including nested designs, analyzing cross-classified models, and dyadic data analysis. Intended for methodologists, statisticians, and researchers in a variety of fields including psychology, education, and the social and health sciences, this handbook also serves as an excellent text for graduate and PhD level courses in multilevel modeling. A basic knowledge of multilevel modeling is assumed.
Product Identifiers
Publisher
Routledge
ISBN-10
1841697222
ISBN-13
9781841697222
eBay Product ID (ePID)
102752854
Product Key Features
Publication Name
Handbook of Advanced Multilevel Analysis
Format
Hardcover
Language
English
Subject
Probability & Statistics / Multivariate Analysis, General, Statistics
Publication Year
2010
Series
European Association of Methodology Ser.
Type
Textbook
Subject Area
Education, Psychology, Mathematics, Social Science
Number of Pages
408 Pages
Dimensions
Item Length
10.2 in
Item Height
1.1 in
Item Width
7.1 in
Item Weight
32.1 Oz
Additional Product Features
LCCN
2010-021673
Lc Classification Number
Qa278
Reviews
"Dr. Hox is a master at presenting sophisticated statistical ideas and models in very pragmatic way… There have been many developments in the area of multilevel structural equation modeling and [Hox's] book is the only multilevel one that covers this important area...The additional chapters … make the book more … appealing ... I would definitely use Hox's book... [and] recommend it to my colleagues." - Donald Hedeker, University of Illinois at Chicago, USA"The second edition offers a simplistic yet in-depth coverage of difficult material. It follows closely the style and approach of the highly successful first edition. The [book] also incorporates many of the latest developments that have emerged over the past few years in the field." - George A. Marcoulides, University of California, Riverside, Quantitative Methodology Series Editor "This book continues to be one of the most readable texts on multilevel analysis. Hox does a masterful job of making the complex palatable. This book is a great addition for the practitioner and methodologist alike." - J. Kyle Roberts, Southern Methodist University, USA "The writing style is unquestionably a strength of this book particularly when compared to competing books.... Without question I would adopt the revised version and recommend it to others. The … changes … strengthen an already effective book." - Dick Carpenter, University of Colorado, Colorado Springs, USA, "The volume brings together an outstanding set of authors who should advance the field's understanding about ... multilevel modeling...the coverage is excellent... it brings together a wide variety of multilevel topics in a single volume. ....I would... recommend it to students who are doing dissertations on multilevel analysis. It would likely be used in programs that are training methodologists... I will definitely purchase it and recommend it.... This will be an excellent resource." - Ron Heck, University of Hawaii Manoa, USA"It makes an important contribution to the field by bringing together many top experts to produce a 'one-stop' source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it to my ... colleagues...I would consider using this book ... for students with strong quantitative interests using MLM... this book would garner a wide audience. Certainly psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work.." - Noel A. Card, Universiyt of Arizona, USA"A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available... The coverage and contributors ... would encourage me to purchase it for my individual use. I [will] encourage my students and colleagues to consider buying [it]." - Scott L. Thomas, Claremont Graduate University, USA, "An excellent volume on an array of next-steps for learning in the multilevel arena. The result is a superb resource on the state-of-the-art and the cutting edge of multilevel models. Each chapter brings the reader up to speed on an issue by providing a valuable synthesis of the existing analytic and empirical statistical work often enhanced by sound thinking and guidance. ... Aside from providing a valuable reference for researchers and instructors, it provides a deep well of possibilities for future statistical work in this area." -Jason T. Newsom, Portland State University, USA, in The American Statistician "Perhaps the most interesting aspect of this handbook is its focus on a range of non-standard multilevel analysis topics such as structural equation modelling (SEM), item response theory (IRT), mixture models and dyadic data analysis. It is the timely inclusion of these topics ... which distinguishes this handbook from competing books. ... Overall I enjoyed this handbook and would recommend it to advanced applied researchers with a firm grounding in multilevel analysis." - George Leckie, University of Bristol, UK in Journal of the Royal Statistical Society "This is a wonderful addition to the field of multilevel modeling. It is a state-of-the-art contribution from the frontiers of the field. Chapters are written by leading authorities and cover a wide array of models from introductory to more advanced. This book will become an essential reference resource." - George A. Marcoulides, University of California, Riverside, USA "The Handbook … covers a wide range of topics, both technical and applied; and the chapters address some of the most crucial and controversial issues in the field of multilevel modeling. This book is sure to become a classic reference, and I plan to keep it within an arms' length of my computer at all times!"- Betsy McCoach, University of Connecticut, USA "This book presents a wide range of well-selected topics, like multilevel latent variable models, longitudinal data analysis, multilevel models for ordinal outcomes, design, model fit, bootstrapping, and missing data. Especially useful are the examples and the accompanying software codes."- Rolf Steyer, University of Jena, Germany "An outstanding set of authors who should advance the field's understanding about ... multilevel modeling...the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists. ...An excellent resource." - Ron Heck, University of Hawaii Manoa, USA "It makes an important contribution to the field by bringing together many top experts to produce a 'one-stop' source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work." - Noel A. Card, University of Arizona, USA "A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available." - Scott L. Thomas, Claremont Graduate University, USA, "An excellent volume on an array of next-steps for learning in the multilevel arena. The result is a superb resource on the state-of-the-art and the cutting edge of multilevel models. Each chapter brings the reader up to speed on an issue by providing a valuable synthesis of the existing analytic and empirical statistical work often enhanced by sound thinking and guidance. ... Aside from providing a valuable reference for researchers and instructors, it provides a deep well of possibilities for future statistical work in this area." - Jason T. Newsom, Portland State University, USA, in The American Statistician "Perhaps the most interesting aspect of this handbook is its focus on a range of non-standard multilevel analysis topics such as structural equation modelling (SEM), item response theory (IRT), mixture models and dyadic data analysis. It is the timely inclusion of these topics ... which distinguishes this handbook from competing books. ... Overall I enjoyed this handbook and would recommend it to advanced applied researchers with a firm grounding in multilevel analysis." - George Leckie, University of Bristol, UK in Journal of the Royal Statistical Society "This is a wonderful addition to the field of multilevel modeling. It is a state-of-the-art contribution from the frontiers of the field. Chapters are written by leading authorities and cover a wide array of models from introductory to more advanced. This book will become an essential reference resource." - George A. Marcoulides, University of California, Riverside, USA "The Handbook ... covers a wide range of topics, both technical and applied; and the chapters address some of the most crucial and controversial issues in the field of multilevel modeling. This book is sure to become a classic reference, and I plan to keep it within an arms' length of my computer at all times!" - Betsy McCoach, University of Connecticut, USA "This book presents a wide range of well-selected topics, like multilevel latent variable models, longitudinal data analysis, multilevel models for ordinal outcomes, design, model fit, bootstrapping, and missing data. Especially useful are the examples and the accompanying software codes." - Rolf Steyer, University of Jena, Germany "An outstanding set of authors who should advance the field's understanding about ... multilevel modeling...the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists. ...An excellent resource." - Ron Heck, University of Hawaii - Manoa, USA "It makes an important contribution to the field by bringing together many top experts to produce a 'one-stop' source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work." - Noel A. Card, University of Arizona, USA "A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available." - Scott L. Thomas, Claremont Graduate University, USA, "This is a wonderful addition to the field of multilevel modeling. It is a state-of-the-art contribution from the frontiers of the field. Chapters are written by leading authorities and cover a wide array of models from introductory to more advanced. This book will become an essential reference resource." - George A. Marcoulides, University of California, Riverside, USA"The Handbook '¦ covers a wide range of topics, both technical and applied; and the chapters address some of the most crucial and controversial issues in the field of multilevel modeling. This book is sure to become a classic reference, and I plan to keep it within an arms' length of my computer at all times!" - Betsy McCoach, University of Connecticut, USA"This book presents a wide range of well-selected topics, like multilevel latent variable models, longitudinal data analysis, multilevel models for ordinal outcomes, design, model fit, bootstrapping, and missing data. Especially useful are the examples and the accompanying software codes." - Rolf Steyer, University of Jena, Germany ã"An outstanding set of authors who should advance the field's understanding about ... multilevel modeling...the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists... This will be an excellent resource." - Ron Heck, University of Hawaii ' Manoa, USA"It makes an important contribution to the field by bringing together many top experts to produce a 'one-stop' source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work." - Noel A. Card, University of Arizona, USA"A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available." - Scott L. Thomas, Claremont Graduate University, USA, "An outstanding set of authors who should advance the field's understanding about ... multilevel modeling...the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists... This will be an excellent resource." - Ron Heck, University of Hawaii ' Manoa, USA"It makes an important contribution to the field by bringing together many top experts to produce a 'one-stop' source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work." - Noel A. Card, University of Arizona, USA"A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available." - Scott L. Thomas, Claremont Graduate University, USA, "This is a wonderful addition to the field of multilevel modeling. It is a state-of-the-art contribution from the frontiers of the field. Chapters are written by leading authorities and cover a wide array of models from introductory to more advanced. This book will become an essential reference resource."- George A. Marcoulides, University of California, Riverside, USA "The Handbook covers a wide range of topics, both technical and applied; and the chapters address some of the most crucial and controversial issues in the field of multilevel modeling. This book is sure to become a classic reference, and I plan to keep it within an arms " length of my computer at all times!"- Betsy McCoach, University of Connecticut, USA "This book presents a wide range of well-selected topics, like multilevel latent variable models, longitudinal data analysis, multilevel models for ordinal outcomes, design, model fit, bootstrapping, and missing data. Especially useful are the examples and the accompanying software codes."- Rolf Steyer, University of Jena, Germany "An outstanding set of authors who should advance the field "s understanding about ... multilevel modeling...the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists. ...An excellent resource."- Ron Heck, University of Hawaii “ Manoa, USA "It makes an important contribution to the field by bringing together many top experts to produce a one-stop " source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work."- Noel A. Card, University of Arizona, USA "A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available."- Scott L. Thomas, Claremont Graduate University, USA, "Perhaps the most interesting aspect of this handbook is its focus on a range of non-standard multilevel analysis topics such as structural equation modelling (SEM), item response theory (IRT), mixture models and dyadic data analysis. It is the timely inclusion of these topics ... which distinguishes this handbook from competing books. ... Overall I enjoyed this handbook and would recommend it to advanced applied researchers with a firm grounding in multilevel analysis." - George Leckie, University of Bristol, UK in Journal of the Royal Statistical Society "This is a wonderful addition to the field of multilevel modeling. It is a state-of-the-art contribution from the frontiers of the field. Chapters are written by leading authorities and cover a wide array of models from introductory to more advanced. This book will become an essential reference resource." - George A. Marcoulides, University of California, Riverside, USA "The Handbook covers a wide range of topics, both technical and applied; and the chapters address some of the most crucial and controversial issues in the field of multilevel modeling. This book is sure to become a classic reference, and I plan to keep it within an arms " length of my computer at all times!"- Betsy McCoach, University of Connecticut, USA "This book presents a wide range of well-selected topics, like multilevel latent variable models, longitudinal data analysis, multilevel models for ordinal outcomes, design, model fit, bootstrapping, and missing data. Especially useful are the examples and the accompanying software codes."- Rolf Steyer, University of Jena, Germany "An outstanding set of authors who should advance the field "s understanding about ... multilevel modeling...the coverage is excellent... .I would... recommend it to students who are doing dissertations on multilevel analysis... [and] in programs that are training methodologists. ...An excellent resource." - Ron Heck, University of Hawaii " Manoa, USA "It makes an important contribution to the field by bringing together many top experts to produce a one-stop " source for cutting-edge advanced MLM procedures. I would purchase this book and ... recommend it ... for students with strong quantitative interests using MLM... psychologists, child developmental, educational, and sociological researchers, to name just a few, would find relevance in this work." - Noel A. Card, University of Arizona, USA "A useful contribution to a rapidly developing area [that] promises to further fuel growth and interest in this area. ...The breadth of coverage and ... depth of treatment ... is a real strength.... [it] fills a gap in the material currently available." - Scott L. Thomas, Claremont Graduate University, USA
Table of Content
Part 1. Introduction. J. Hox, J.K. Roberts, Multilevel Analysis: Where We Were and Where We Are. Part 2. Multilevel Latent Variable Modeling (LVM). B. Muthén, T. Asparouhov, Beyond Multilevel Regression Modeling: Multilevel Analysis in a General Latent Variable Framework. A. Kamata, B. Vaughn, Multilevel IRT Modeling. J. Vermunt, Mixture Models for Multilevel Data Sets. Part 3. Multilevel Models for Longitudinal Data. J. Hox, Panel Modeling: Random Coefficients and Covariance Structures. R.D. Stoel, F.G. Garre, Growth Curve Analysis using Multilevel Regression and Structural Equation Modeling. Part 4. Special Estimation Problems. D. Hedeker, R. J. Mermelstein, Multilevel Analysis of Ordinal Outcomes Related to Survival Data. E.L. Hamaker, I. Klugkist, Bayesian Estimation of Multilevel Models. H. Goldstein, Bootstrapping in Multilevel Models. S. van Buuren, Multiple Imputation of Multilevel Data. J. Kim, C.M. Swoboda, Handling Omitted Variable Bias in Multilevel Models: Model Specification Tests and Robust Estimation. J.K. Roberts, J.P. Monaco, H. Stovall, V. Foster, Explained Variance in Multilevel Models. E.L. Hamaker, P. van Hattum, R.M. Kuiper, H. Hoijtink, Model Selection Based on Information Criteria in Multilevel Modeling. M. Moerbeek, S. Teerenstra, Optimal Design in Multilevel Experiments. Part 5. Specific Statistical Issues. J. Algina, H. Swaminathan, Centering in Two-Level Nested Designs. S.N. Beretvas, Cross-Classified and Multiple Membership Models. D.A. Kenny, D.A. Kashy, Dyadic Data Analysis using Multilevel Modeling.
Copyright Date
2011
Target Audience
College Audience
Dewey Decimal
519.535
Dewey Edition
22
Illustrated
Yes
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Numéro de l'objet eBay :145730022067
Dernière mise à jour : juin 05, 2024 04:33:56 HAEAfficher toutes les modificationsAfficher toutes les modifications
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