top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Handbook of multilevel analysis [[electronic resource] /] / Jan de Leeuw, Erik Meijer, editors ; foreword by Harvey Goldstein
Handbook of multilevel analysis [[electronic resource] /] / Jan de Leeuw, Erik Meijer, editors ; foreword by Harvey Goldstein
Edizione [1st ed. 2008.]
Pubbl/distr/stampa New York, : Springer, c2008
Descrizione fisica 1 online resource (504 p.)
Disciplina 519.536
Altri autori (Persone) LeeuwJan de
MeijerErik <1963->
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
Soggetto genere / forma Electronic books.
ISBN 1-281-14854-7
9786611148546
0-387-73186-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto to Multilevel Analysis -- Bayesian Multilevel Analysis and MCMC -- Diagnostic Checks for Multilevel Models -- Optimal Designs for Multilevel Studies -- Many Small Groups -- Multilevel Models for Ordinal and Nominal Variables -- Multilevel and Related Models for Longitudinal Data -- Non-Hierarchical Multilevel Models -- Multilevel Generalized Linear Models -- Missing Data -- Resampling Multilevel Models -- Multilevel Structural Equation Modeling.
Record Nr. UNINA-9910458196603321
New York, : Springer, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of multilevel analysis [[electronic resource] /] / Jan de Leeuw, Erik Meijer, editors ; foreword by Harvey Goldstein
Handbook of multilevel analysis [[electronic resource] /] / Jan de Leeuw, Erik Meijer, editors ; foreword by Harvey Goldstein
Edizione [1st ed. 2008.]
Pubbl/distr/stampa New York, : Springer, c2008
Descrizione fisica 1 online resource (504 p.)
Disciplina 519.536
Altri autori (Persone) LeeuwJan de
MeijerErik <1963->
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
ISBN 1-281-14854-7
9786611148546
0-387-73186-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto to Multilevel Analysis -- Bayesian Multilevel Analysis and MCMC -- Diagnostic Checks for Multilevel Models -- Optimal Designs for Multilevel Studies -- Many Small Groups -- Multilevel Models for Ordinal and Nominal Variables -- Multilevel and Related Models for Longitudinal Data -- Non-Hierarchical Multilevel Models -- Multilevel Generalized Linear Models -- Missing Data -- Resampling Multilevel Models -- Multilevel Structural Equation Modeling.
Record Nr. UNINA-9910784772003321
New York, : Springer, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Handbook of multilevel analysis [[electronic resource] /] / Jan de Leeuw, Erik Meijer, editors ; foreword by Harvey Goldstein
Handbook of multilevel analysis [[electronic resource] /] / Jan de Leeuw, Erik Meijer, editors ; foreword by Harvey Goldstein
Edizione [1st ed. 2008.]
Pubbl/distr/stampa New York, : Springer, c2008
Descrizione fisica 1 online resource (504 p.)
Disciplina 519.536
Altri autori (Persone) LeeuwJan de
MeijerErik <1963->
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
ISBN 1-281-14854-7
9786611148546
0-387-73186-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto to Multilevel Analysis -- Bayesian Multilevel Analysis and MCMC -- Diagnostic Checks for Multilevel Models -- Optimal Designs for Multilevel Studies -- Many Small Groups -- Multilevel Models for Ordinal and Nominal Variables -- Multilevel and Related Models for Longitudinal Data -- Non-Hierarchical Multilevel Models -- Multilevel Generalized Linear Models -- Missing Data -- Resampling Multilevel Models -- Multilevel Structural Equation Modeling.
Record Nr. UNINA-9910814352103321
New York, : Springer, c2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel modeling techniques and applications in institutional research [[electronic resource] /] / Joe L. Lott, II, James S. Antony, editors
Multilevel modeling techniques and applications in institutional research [[electronic resource] /] / Joe L. Lott, II, James S. Antony, editors
Pubbl/distr/stampa San Francisco, : Jossey-Bass, 2012
Descrizione fisica 1 online resource (144 p.)
Disciplina 370.72
378.0072
Altri autori (Persone) LottJoe L
AntonyJames S
Collana New directions for institutional research
Soggetto topico Social sciences - Mathematical models
Social sciences - Research - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-118-45734-X
1-280-79294-9
9786613703330
1-118-45733-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multilevel Modeling Techniques and Applications in Institutional Research; Contents; Editors' Notes; 1: Hierarchical Data Structures, Institutional Research, and Multilevel Modeling; 2: Introduction to Estimation Issues in Multilevel Modeling; 3: Using Existing Data Sources/Programs and Multilevel Modeling Techniques for Questions in Institutional Research; 4: Multilevel Models for Binary Data; 5: Cross-Classified Random Effects Models in Institutional Research; 6: Multilevel Modeling: Applications to Research on the Assessment of Student Learning, Engagement, and Developmental Outcomes
7: Multilevel Modeling: Presenting and Publishing the Results for Internal and External Constituents INDEX
Record Nr. UNINA-9910462038403321
San Francisco, : Jossey-Bass, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel modeling techniques and applications in institutional research [[electronic resource] /] / Joe L. Lott, II, James S. Antony, editors
Multilevel modeling techniques and applications in institutional research [[electronic resource] /] / Joe L. Lott, II, James S. Antony, editors
Pubbl/distr/stampa San Francisco, : Jossey-Bass, 2012
Descrizione fisica 1 online resource (144 p.)
Disciplina 370.72
378.0072
Altri autori (Persone) LottJoe L
AntonyJames S
Collana New directions for institutional research
Soggetto topico Social sciences - Mathematical models
Social sciences - Research - Mathematical models
ISBN 1-118-45734-X
1-280-79294-9
9786613703330
1-118-45733-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multilevel Modeling Techniques and Applications in Institutional Research; Contents; Editors' Notes; 1: Hierarchical Data Structures, Institutional Research, and Multilevel Modeling; 2: Introduction to Estimation Issues in Multilevel Modeling; 3: Using Existing Data Sources/Programs and Multilevel Modeling Techniques for Questions in Institutional Research; 4: Multilevel Models for Binary Data; 5: Cross-Classified Random Effects Models in Institutional Research; 6: Multilevel Modeling: Applications to Research on the Assessment of Student Learning, Engagement, and Developmental Outcomes
7: Multilevel Modeling: Presenting and Publishing the Results for Internal and External Constituents INDEX
Record Nr. UNINA-9910790343203321
San Francisco, : Jossey-Bass, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel modeling techniques and applications in institutional research / / Joe L. Lott, II, James S. Antony, editors
Multilevel modeling techniques and applications in institutional research / / Joe L. Lott, II, James S. Antony, editors
Edizione [1st ed.]
Pubbl/distr/stampa San Francisco, : Jossey-Bass, 2012
Descrizione fisica 1 online resource (144 p.)
Disciplina 370.72
378.0072
Altri autori (Persone) LottJoe L
AntonyJames S
Collana New directions for institutional research
Soggetto topico Social sciences - Mathematical models
Social sciences - Research - Mathematical models
ISBN 1-118-45734-X
1-280-79294-9
9786613703330
1-118-45733-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Multilevel Modeling Techniques and Applications in Institutional Research; Contents; Editors' Notes; 1: Hierarchical Data Structures, Institutional Research, and Multilevel Modeling; 2: Introduction to Estimation Issues in Multilevel Modeling; 3: Using Existing Data Sources/Programs and Multilevel Modeling Techniques for Questions in Institutional Research; 4: Multilevel Models for Binary Data; 5: Cross-Classified Random Effects Models in Institutional Research; 6: Multilevel Modeling: Applications to Research on the Assessment of Student Learning, Engagement, and Developmental Outcomes
7: Multilevel Modeling: Presenting and Publishing the Results for Internal and External Constituents INDEX
Record Nr. UNINA-9910808094503321
San Francisco, : Jossey-Bass, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Autore Wang Jichuan
Pubbl/distr/stampa Berlin, : De Gruyter
Descrizione fisica 1 online resource (274 p.)
Disciplina 005.5/5
Altri autori (Persone) XieHaiyi
FischerJames H
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
Soggetto genere / forma Electronic books.
ISBN 3-11-026770-5
Classificazione SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Preface / Wang, Jichuan / Xie, Haiyi / Fisher, James H. -- Contents -- Chapter 1. Introduction -- Chapter 2. Basics of linear multilevel models -- Chapter 3. Application of two-level linear multilevel models -- Chapter 4. Application of multilevel modeling to longitudinal data -- Chapter 5. Multilevel models for discrete outcome measures -- Chapter 6. Other applications of multilevel modeling and related issues -- References -- Index
Record Nr. UNINA-9910465523203321
Wang Jichuan  
Berlin, : De Gruyter
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Multilevel models [[electronic resource] ] : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Autore Wang Jichuan
Pubbl/distr/stampa Berlin, : De Gruyter
Descrizione fisica 1 online resource (274 p.)
Disciplina 005.5/5
Altri autori (Persone) XieHaiyi
FischerJames H
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
Soggetto non controllato Multilevel Model
SAS®
Statistics
ISBN 3-11-026770-5
Classificazione SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Preface / Wang, Jichuan / Xie, Haiyi / Fisher, James H. -- Contents -- Chapter 1. Introduction -- Chapter 2. Basics of linear multilevel models -- Chapter 3. Application of two-level linear multilevel models -- Chapter 4. Application of multilevel modeling to longitudinal data -- Chapter 5. Multilevel models for discrete outcome measures -- Chapter 6. Other applications of multilevel modeling and related issues -- References -- Index
Record Nr. UNINA-9910791967403321
Wang Jichuan  
Berlin, : De Gruyter
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multilevel models : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Multilevel models : applications using SAS / / Jichuan Wang, Haiyi Xie, James H. Fischer
Autore Wang Jichuan
Edizione [1st ed.]
Pubbl/distr/stampa Berlin, : De Gruyter
Descrizione fisica 1 online resource (274 p.)
Disciplina 005.5/5
Altri autori (Persone) XieHaiyi
FischerJames H
Soggetto topico Social sciences - Research - Mathematical models
Multilevel models (Statistics)
Soggetto non controllato Multilevel Model
SAS®
Statistics
ISBN 3-11-026770-5
Classificazione SK 850
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Frontmatter -- Preface / Wang, Jichuan / Xie, Haiyi / Fisher, James H. -- Contents -- Chapter 1. Introduction -- Chapter 2. Basics of linear multilevel models -- Chapter 3. Application of two-level linear multilevel models -- Chapter 4. Application of multilevel modeling to longitudinal data -- Chapter 5. Multilevel models for discrete outcome measures -- Chapter 6. Other applications of multilevel modeling and related issues -- References -- Index
Record Nr. UNINA-9910828881503321
Wang Jichuan  
Berlin, : De Gruyter
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate generalized linear mixed models using R / / Damon M. Berridge, Robert Crouchley
Multivariate generalized linear mixed models using R / / Damon M. Berridge, Robert Crouchley
Autore Berridge Damon M.
Pubbl/distr/stampa Boca Raton, Fla. : , : CRC Press, , 2011
Descrizione fisica 1 online resource (284 p.)
Disciplina 003/.35133
Altri autori (Persone) CrouchleyRobert
Soggetto topico Social sciences - Research - Mathematical models
Social sciences - Research - Statistical methods
Social sciences - Research - Data processing
Multivariate analysis
Soggetto genere / forma Electronic books.
ISBN 0-429-19160-X
1-4987-4070-7
1-4398-1327-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Contents; List of Figures; List of Tables; List of Applications; List of Datasets; Preface; Acknowledgments; 1. Introduction; 2.Generalized linear models for continuous/interval scale data; 3. Generalized linear models for other types of data; 4. Family of generalized linear models; 5. Mixed models for continuous/interval scale data; 6. Mixed models for binary data; 7. Mixed models for ordinal data; 8. Mixed models for count data; 9. Family of two-level generalized linear models; 10. Three-level generalized linear models; 11. Models for multivariate data
12. Models for duration and event history data13. Stayers, non-susceptibles and endpoints; 14. Handling initial conditions/state dependence in binary data; 15. Incidental parameters: an empirical comparison of fixed effects and random effects models; A. SabreR installation, SabreR commands, quadrature, estimation, endogenous effects; B. Introduction to R for Sabre; References
Record Nr. UNINA-9910457693303321
Berridge Damon M.  
Boca Raton, Fla. : , : CRC Press, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui