Multilevel modelling: 1. Linear multilevel models: model formulation and interpretation Linear multilevel models: model formulation and interpretation
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Los Angeles [u.a.]
Sage
2010
|
| Ausgabe: | 1. publ. |
| Schriftenreihe: | Sage benchmarks in social research methods
Sage benchmarks in social research methods |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXX, 415 S. 24 cm |
| ISBN: | 9781847872739 |
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| 245 | 1 | 0 | |a Multilevel modelling |n 1. Linear multilevel models: model formulation and interpretation |p Linear multilevel models: model formulation and interpretation |c ed. by Anders Skrondal and Sophia Rabe-Hesketh |
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Datensatz im Suchindex
| _version_ | 1804141004156043264 |
|---|---|
| adam_text | Titel: Bd. 1. Multilevel modelling. Linear multilevel models: model formulation and interpretation
Autor:
Jahr: 2010
Contents
Appendix of Sources xi
Editors Introduction: Multilevel Modelling xxi
Anders Skrondal and Sophia Rabe-Hesketh
Volume 1 - Linear Multilevel Models: Model
Formulation and Interpretation
Introduction: Linear Multilevel Models - Model Formulation xxv
Anders Skrondal and Sophia Rabe-Hesketh
1. Introduction
1. Multilevel Analysis 3
TomAB. Snijders
2. New Statistical Methods for Analysing Social Structures: 11
An Introduction to Multilevel Models
Lindsay Paterson and Harvey Goldstein
3. Modeling Multilevel Data Structures 19
Marco R. Steenbergen and Bradford S. Jones
4. Context, Composition and Heterogeneity: Using Multilevel Models 55
in Health Research
Craig Duncan, Kelvyn Jones and Graham Moon
5. Statistical and Substantive Inferences in Public Health: Issues in 89
the Application of Multilevel Models
Jeffrey B. Bingenheimer and Stephen W. Raudenbush
6. A Glossary for Multilevel Analysis 115
AV. Diez Roux
2. Models for Longitudinal and Panel Data
7. Application of Hierarchical Linear Models to Assessing Change 137
Anthony S. Bryk and Stephen W. Raudenbush
8. Panel Models in Sociological Research: Theory into Practice 163
Charles N. Halaby
9. The Multilevel Approach to Repeated Measures for Complete 203
and Incomplete Data
Cora J.M. Maas and Tom AB. Snijders
10. Multilevel and Related Models for Longitudinal Data 223
Anders Skrondal and Sophia Rabe-Hesketh
11. Multilevel Models for Longitudinal Data 247
Fiona Steele
vi Contents
3. Higher-Level Models
12. The Analysis of Longitudinal, Multilevel Data 269
Stephen W. Raudenbush
13. Big-Fish - Little-Pond Effect on Academic Self-Concept: 291
A Cross-Cultural (26-Country) Test of the Negative Effects of
Academically Selective Schools
Herbert W. Marsh and Kit-Tai Hau
4. Between versus within Effects, Mean Centering, and
Endogeneity
14. Separation of Individual-Level and Cluster-Level Covariate Effects 319
in Regression Analysis of Correlated Data
Melissa D. Begg and Michael K. Parides
15. Causes, Problems and Benefits of Different Between and Within 333
Effects in the Analysis of Clustered Data
Mori Palta and Chris Seplaki
16. Regressor and Random-Effects Dependencies in Multilevel Models 351
Peter Ebbes, Ulf Bockenholt and Michel Wedel
5. Variance Explained
17. Modeled Variance in Two-Level Models 373
Tom AB. Snijders and Roel J. Bosker
18. Bayesian Measures of Explained Variance and Pooling in Multilevel 391
(Hierarchical) Models
Andrew Gelman and Iain Pardoe
Volume 2 - Linear Multilevel Models: Inference,
Diagnostics and Design
Introduction: Linear Multilevel Models - Inference, Diagnostics
and Design vii
Anders Skrondal and Sophia Rabe-Hesketh
1. Parameter Estimation
19. Estimation Procedures for Hierarchical Linear Models 3
Hariharan Swaminathan and H. Jane Rogers
2. Assigning Values to Random Effects
20. Assigning Values to the Random Intercepts 53
Sophia Rabe-Hesketh and Anders Skrondal
21. That BLUP Is a Good Thing: The Estimation of Random Effects 63
G.K. Robinson
Contents vii
3. Model Diagnostics and Robustness
22. Outliers in Multilevel Data 99
Ian H. Longford and Toby Lewis
23. Diagnostic Checks for Multilevel Models 139
Tom AB. Snijders and Johannes Berkhof
24. The Effect of Misspecifying the Random-Effects Distribution in 175
Linear Mixed Models for Longitudinal Data
Geert Verbeke and Emmanuel Lesaffre
25. Robustness of the Linear Mixed Model to Misspecified Error 191
Distribution
Helene Jacqmin-Gadda, Solenne Sibillot, Cecile Proust,
Jean-Michel Molina and Rodolphe Thiebaut
4. Model Building and Inference
26. Testing and Model Specification 213
Tom AB. Snijders and Roel J. Bosker
27. Assessing the Adequacy of Hierarchical Models 227
Stephen W. Raudenbush and Anthony S. Bryk
28. Variance Component Testing in Multilevel Models 261
Johannes Berkhof and TomAB. Snijders
29. Inference and Hierarchical Modeling in the Social Sciences 283
David Draper
5. Study Design, Power and Sample Size
30. Power and Sample Size in Multilevel Linear Models 317
TomAB. Snijders
31. Statistical Analysis and Optimal Design for Cluster Randomized Trials 323
Stephen W. Raudenbush
32. Design Issues for Experiments in Multilevel Populations 345
Mirjam Moerbeek, Gerard J.P. van Breukelen and Martijn P.P. Berger
Volume 3: Multilevel Generalized
Linear Models
Introduction: Multilevel Generalized Linear Models vii
Anders Skrondal and Sophia Rabe-Hesketh
1. Introduction
33. Multilevel Modeling for Binary Data 3
Guang Guo and Hongxin Zhao
34. Generalized Linear Mixed Models 25
Donald Hedeker
viii Contents
35. Generalized Linear Mixed-effects Models 41
Sophia Rabe-Hesketh and Anders Skrondal
36. Statistical Methods for Longitudinal and Clustered Designs with 75
Binary Responses
John M. Neuhaus
37. Limited Dependent Variable Models Using Panel Data 103
G.S. Maddala
2. Ordered and Unordered Categorical Responses
38. A Mixed-effects Regression Model for Three-Level Ordinal 137
Response Data
Rema Raman and Donald Hedeker
39. Multilevel Logistic Regression for Polytomous Data and Rankings 155
Anders Skrondal and Sophia Rabe-Hesketh
3. Censored Responses, Survival and Counts
40. Random-effects Regression Analysis of Correlated Grouped-Time 185
Survival Data
Donald Hedeker, Ohidul Siddiqui and Frank B. Hu
41. The Random-effects Proportional Hazards Model with Grouped 205
Survival Data: A Comparison between the Grouped Continuous
and Continuation Ratio Versions
Leonardo Grilli
42. Hierarchical Models for Count Data 221
Stephen W. Raudenbush and Anthony S. Bryk
43. Recent Developments in Count Data Modelling: Theory and 229
Application
Rainer Winkelmann and Klaus E Zimmermann
4. Model Interpretation
44. Variance Partitioning in Multilevel Logistic Models that Exhibit 257
Overdispersion
W.J. Browne, S.V. Subramanian, K. Jones and H. Goldstein
45. Appropriate Assessment of Neighborhood Effects on Individual 275
Health: Integrating Random and Fixed Effects in Multilevel
Logistic Regression
Klaus Larsen and Juan Merlo
46. Equivalence of Conditional and Marginal Regression Models for 291
Clustered and Longitudinal Data
John Ritz and Donna Spiegelman
5. Estimation and Prediction
47. Statistical Inference in Generalized Linear Mixed Models: A Review 309
Francis Tuerlinckx, Frank Rijmen, Geert Verbeke and Paul De Boeck
Contents ix
48. Misspecified Maximum Likelihood Estimates and Generalised 347
Linear Mixed Models
Patrick J. Heagerty and Brenda F. Kurland
49. Prediction in Multilevel Generalized Linear Models 363
Anders Skrondal and Sophia Rabe-Hesketh
Volume 4: Complex Models and Issues
Introduction: Complex Models and Issues vii
Anders Skrondal and Sophia Rabe-Hesketh
1. Nonlinear Mixed Models
50. Nonlinear Models for Repeated Measurement Data: An Overview 3
and Update
Marie Davidian and David M. Giltinan
2. Complex Random Part
51. Heteroscedasticity and Complex Variation 41
Harvey Goldstein
52. Multilevel Time Series Models with Applications to Repeated 51
Measures Data
Harvey Goldstein, Michael J.R. Healy and Jon Rasbash
53. Spatial Analysis 67
Alastair H. Leyland
3. Discrete and Nonnormal Random Effects
54. Analyzing Developmental Trajectories: A Semiparametric, 85
Group-Based Approach
Daniel S. Nagin
55. Latent Class and Finite Mixture Models for Multilevel Data Sets 113
Jeroen K. Vermunt
56. A General Maximum Likelihood Analysis of Variance Components 133
in Generalized Linear Models
Murray Aitkin
4. Multivariate Multilevel Models
57. Multivariate Multilevel Regression Analysis 157
J.Hox
5. Crossed Random Effects and Multiple Membership Models
58. A Crossed Random Effects Model for Unbalanced Data with 175
Applications in Cross-Sectional and Longitudinal Research
Stephen W. Raudenbush
x Contents
59. Multiple Membership Multiple Classification (MMMC) Models 205
William J. Browne, Harvey Goldstein and Jon Rasbash
6. Resampling and Multiple Imputation
60. A Novel Bootstrap Procedure for Assessing the Relationship 231
between Class Size and Achievement
James R. Carpenter, Harvey Goldstein and Jon Rasbash
61. Multilevel Analysis with Messy Data 247
N.T. Longford
7. Multilevel Models with Latent Variables
62. Generalized Multilevel Structural Equation Modeling 267
Sophia Rabe-Hesketh, Anders Skrondal and Andrew Pickles
8. Multilevel Models for Complex Survey Data
63. Multilevel Modelling of Complex Survey Data 301
Sophia Rabe-Hesketh and Anders Skrondal
9. Mixed Responses or Multiple Process Models
64. Model-Based Approaches to Analysing Incomplete Longitudinal 331
and Failure Time Data
Joseph W. Hogan and Nan M. Laird
65. The Effect of Physician Advice on Alcohol Consumption: 349
Count Regression with an Endogenous Treatment Effect
Donald S. Kenkel and Joseph V. Terza
66. Simultaneous Equations for Hazards: Marriage Duration and 373
Fertility Timing
Lee A Lillard
|
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| spelling | Multilevel modelling 1. Linear multilevel models: model formulation and interpretation Linear multilevel models: model formulation and interpretation ed. by Anders Skrondal and Sophia Rabe-Hesketh 1. publ. Los Angeles [u.a.] Sage 2010 XXX, 415 S. 24 cm txt rdacontent n rdamedia nc rdacarrier Sage benchmarks in social research methods Sozialwissenschaften Multilevel models (Statistics) Social sciences Statistical methods Skrondal, Anders edt Rabe-Hesketh, Sophia (DE-588)13573116X edt (DE-604)BV035981123 1 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018875049&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Multilevel modelling Sozialwissenschaften Multilevel models (Statistics) Social sciences Statistical methods |
| title | Multilevel modelling |
| title_auth | Multilevel modelling |
| title_exact_search | Multilevel modelling |
| title_full | Multilevel modelling 1. Linear multilevel models: model formulation and interpretation Linear multilevel models: model formulation and interpretation ed. by Anders Skrondal and Sophia Rabe-Hesketh |
| title_fullStr | Multilevel modelling 1. Linear multilevel models: model formulation and interpretation Linear multilevel models: model formulation and interpretation ed. by Anders Skrondal and Sophia Rabe-Hesketh |
| title_full_unstemmed | Multilevel modelling 1. Linear multilevel models: model formulation and interpretation Linear multilevel models: model formulation and interpretation ed. by Anders Skrondal and Sophia Rabe-Hesketh |
| title_short | Multilevel modelling |
| title_sort | multilevel modelling linear multilevel models model formulation and interpretation |
| topic | Sozialwissenschaften Multilevel models (Statistics) Social sciences Statistical methods |
| topic_facet | Sozialwissenschaften Multilevel models (Statistics) Social sciences Statistical methods |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018875049&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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