Ronald H. Heck is professor in the College of Education at the University of Hawaiʻi at Mānoa. His research interests include school effects on student learning, educational policy, and research methods. Scott L. Thomas is John P. "Jack" Ellbogen Dean in the College of Education at the University of Wyoming. His research interests include higher education policy and finance, sociology of education, and research methods.Lynn N. Tabata was a graduate faculty member and research consultant at the University of Hawai‘i at Mānoa. Her research interests included broadening educational access to higher education, faculty participation in distance education, and the application of technological innovations in higher education.

• 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. Extending the Two-Level Univariate Model 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. Further Considerations in Modeling Hierarchical Data

Ronald H. Heck is professor in the College of Education at the University of Hawaiʻi at Mānoa. His research interests include school effects on student learning, educational policy, and research methods. Scott L. Thomas is John P. "Jack" Ellbogen Dean in the College of Education at the University of Wyoming. His research interests include higher education policy and finance, sociology of education, and research methods.Lynn N. Tabata was a graduate faculty member and research consultant at the University of Hawai‘i at Mānoa. Her research interests included broadening educational access to higher education, faculty participation in distance education, and the application of technological innovations in higher education.

• 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. Extending the Two-Level Univariate Model 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. Further Considerations in Modeling Hierarchical Data

Ronald H. Heck is professor in the College of Education at the University of Hawaiʻi at Mānoa. His research interests include school effects on student learning, educational policy, and research methods. Scott L. Thomas is John P. "Jack" Ellbogen Dean in the College of Education at the University of Wyoming. His research interests include higher education policy and finance, sociology of education, and research methods.Lynn N. Tabata was a graduate faculty member and research consultant at the University of Hawai‘i at Mānoa. Her research interests included broadening educational access to higher education, faculty participation in distance education, and the application of technological innovations in higher education.

• 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. Extending the Two-Level Univariate Model 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. Further Considerations in Modeling Hierarchical Data