Midlands State University Library
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Multilevel analysis : an introduction to basic and advanced multilevel modeling /

By: Contributor(s): Material type: TextTextPublisher: Los Angeles, 2012Edition: Second editionDescription: xi, 354 pages : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781849202015
Subject(s): LOC classification:
  • QA278 SNI
Contents:
Multilevel theories, multi-stage sampling, and multilevel models Statistical treatment of clustered data The random intercept model The hierarchical linear model Testing and model specification How much does the model explain? Heteroscedasticity Missing data Assumptions of the hierarchical linear model Designing multilevel studies Other methods and models Imperfect hierarchies Survey weights Longitudinal data Multivariate multilevel models Discrete dependent variables Software
Summary: Multilevel Analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks
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Holdings
Item type Current library Call number Copy number Status Date due Barcode
Book Book Harare Campus Library Open Shelf QA278 SNI (Browse shelf(Opens below)) 161233 Available BK149128
Book Book Main Library Open Shelf QA278 SNI (Browse shelf(Opens below)) 161232 Available BK149115
Book Book Main Library Open Shelf QA278 SNI (Browse shelf(Opens below)) 161231 Available BK149098
Book Book Main Library Open Shelf QA278 SNI (Browse shelf(Opens below)) 161230 Available BK149109
Book Book PostGraduate Studies Library Open Shelf QA278 SNI (Browse shelf(Opens below)) 161229 Available BK149080
Book Book Zvishavane Library Open Shelf QA278 SNI (Browse shelf(Opens below)) 161228 Available BK149133

Includes bibliographical reference and index

Multilevel theories, multi-stage sampling, and multilevel models Statistical treatment of clustered data The random intercept model The hierarchical linear model Testing and model specification How much does the model explain? Heteroscedasticity Missing data Assumptions of the hierarchical linear model Designing multilevel studies Other methods and models Imperfect hierarchies Survey weights Longitudinal data Multivariate multilevel models Discrete dependent variables Software

Multilevel Analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks

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