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Multilevel and longitudinal modeling with IBM SPSS / Ronald H. Heck, Scott L. Thomas and Lynn N. Tabata.

By: Contributor(s): Material type: TextTextSeries: Quantitave methodology seriesPublication details: New York : Routledge, c2014.Edition: 2nd edDescription: xvii, 443 p. : illustrations ; 28 cmISBN:
  • 9780415817110 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 005.55 23 H448
Contents:
1. Introduction to Multilevel Modeling with IBM SPSS. 2. Preparing and Examining the Data for Multilevel Analyses. 3. Defining a Basic Two-Level Multilevel Regression Model. 4. Three-Level Univariate Regression Models. 5. Examining Individual Change with Repeated Measures Data. 6. Applications of Mixed Models for Longitudinal Data. 7. Multivariate Multilevel Models. 8. Cross-Classified Multilevel Models. 9. Concluding Thoughts. Appendix A: Syntax Statements. Appendix B: Model Comparisons Across Software Applications. Appendix C: Syntax Routine to Estimate Rho from Model's Variance Components.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 005.55 H448 (Browse shelf(Opens below)) Available 135273
Total holds: 0

Includes bibliographical references and index.

1. Introduction to Multilevel Modeling with IBM SPSS. 2. Preparing and Examining the Data for Multilevel Analyses. 3. Defining a Basic Two-Level Multilevel Regression Model. 4. Three-Level Univariate Regression Models. 5. Examining Individual Change with Repeated Measures Data. 6. Applications of Mixed Models for Longitudinal Data. 7. Multivariate Multilevel Models. 8. Cross-Classified Multilevel Models. 9. Concluding Thoughts. Appendix A: Syntax Statements. Appendix B: Model Comparisons Across Software Applications. Appendix C: Syntax Routine to Estimate Rho from Model's Variance Components.

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