Multilevel Analysis : Techniques and Applications / Joop J. Hox, Mirjam Moerbeek, Rens van de Schoot

Von:

Hox, Joop J, 1949- [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Quantitative Methodology SeriesVerlag: London : Taylor and Francis, 2017Auflage: Third editionBeschreibung: 1 Online-RessourceISBN:

9781315650982

Schlagwörter:

Andere physische Formen: 9781138121409. | 9781138121362. | 9781317308676 | 9781317308669 | 9781317308683 | Erscheint auch als: Multilevel analysis. Druck-Ausgabe Third edition. New York : Routledge, Taylor & Francis Group, 2018. xv, 347 SeitenDDC-Klassifikation:

001.4/22

RVK: RVK: CM 2500 | SK 840 | CM 4000 | MR 2100LOC-Klassifikation:

HA29

Online-Ressourcen:

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Zusammenfassung: 10.3 Example of Multivariate Multilevel Analysis: Measuring Group Characteristics11. The Multilevel Approach to Meta-Analysis; 11.1 Meta-Analysis and Multilevel Modeling; 11.2 The Variance-Known Model; 11.3 Example and Comparison with Classical Meta-Analysis; 11.4 Correcting for Artifacts; 11.5 Multivariate Meta-Analysis; 11.6 Software; 12. Sample Sizes and Power Analysis in Multilevel Regression; 12.1 Sample Size and Accuracy of Estimates; 12.2 Power Analysis; 12.3 Methods for Randomized Controlled Trials; 12.4 Methods for Observational Studies; 12.5 Methods for Meta-AnalysisZusammenfassung: 5.7 Statistical Issues in Longitudinal Analysis5.8 Software; 6. The Multilevel Generalized Linear Model for Dichotomous Data and Proportions; 6.1 Generalized Linear Models; 6.2 Multilevel Generalized Linear Models; 6.3 Example: Analyzing Dichotomous Data; 6.4 Example: Analyzing Proportions; 6.5 The Ever-Changing Latent Scale: Comparing Coefficients and Explained Variances; 6.6 Interpretation; 6.7 Software; 7. The Multilevel Generalized Linear Model for Categorical and Count Data; 7.1 Ordered Categorical Data; 7.2 Count Data; 7.3 Explained Variance in Ordered Categorical and Count DataZusammenfassung: 7.4 The Ever-Changing Latent Scale, Again7.5 Software; 8. Multilevel Survival Analysis; 8.1 Survival Analysis; 8.2 Multilevel Survival Analysis; 8.3 Multilevel Ordinal Survival Analysis; 8.4 Software; 9. Cross-Classified Multilevel Models; 9.1 Introduction; 9.2 Example of Cross-Classified Data: Pupils Nested Within (Primary and Secondary Schools); 9.3 Example of Cross-Classified Data: (Sociometric Ratings) in Small Groups; 9.4 Software; 10. Multivariate Multilevel Regression Models; 10.1 The Multivariate Model; 10.2 Example of Multivariate Multilevel Analysis: Multiple Response VariablesZusammenfassung: "Applauded for its clarity, this accessible introduction helps readers apply multilevel techniques to their research. The book also includes advanced extensions, making it useful as both an introduction for students and as a reference for researchers. Basic models and examples are discussed in nontechnical terms with an emphasis on understanding the methodological and statistical issues involved in using these models. The estimation and interpretation of multilevel models is demonstrated using realistic examples from various disciplines including psychology, education, public health, and sociology. Readers are introduced to a general framework on multilevel modeling which covers both observed and latent variables in the same model, while most other books focus on observed variables. In addition, Bayesian estimation is introduced and applied using accessible software."--Provided by publisherPPN: PPN: 100313842XPackage identifier: Produktsigel: ZDB-4-NLEBK

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