Handbook of Advanced Multilevel Analysis
Herausgeber: Hox, Joop; Roberts, J Kyle
Handbook of Advanced Multilevel Analysis
Herausgeber: Hox, Joop; Roberts, J Kyle
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This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors have 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.
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This new handbook is the definitive resource on advanced topics related to multilevel analysis. The editors have 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.
Produktdetails
- Produktdetails
- European Association of Methodology Series
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 408
- Erscheinungstermin: 19. Juli 2010
- Englisch
- Abmessung: 264mm x 187mm x 27mm
- Gewicht: 890g
- ISBN-13: 9781841697222
- ISBN-10: 1841697222
- Artikelnr.: 31384019
- European Association of Methodology Series
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 408
- Erscheinungstermin: 19. Juli 2010
- Englisch
- Abmessung: 264mm x 187mm x 27mm
- Gewicht: 890g
- ISBN-13: 9781841697222
- ISBN-10: 1841697222
- Artikelnr.: 31384019
Joop J. Hox is Professor and Chair of Social Science Methodology at Utrecht University. A Fellow of the Royal Statistical Society and a founding member of the European Association of Methodology, his recent publications focus on survey non-response, interviewer effects, survey data quality, missing data, and multilevel analysis of regression and structural equation models. He is the author of Multilevel Analysis, Second Edition (Routledge) and a co-editor of the International Handbook of Survey Methodology (Routledge). J. Kyle Roberts is an Associate Professor in the Annette Caldwell Simmons School of Education and Human Development at Southern Methodist University. Dr. Roberts has conducted numerous training sessions on multilevel analysis at annual meetings of the American Psychological Association, the American Educational Research Association, and the Southwest Educational Research Association. He has authored several book chapters and articles on multilevel analysis, and currently works with school districts in the development of value-added models for student and teacher
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.
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.
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.
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.