Ronald Heck is professor of education at the University of Hawai‘i at Mānoa. His areas of interest include organizational theory, leadership, policy, and quantitative research methods. Scott L. Thomas is professor in the School of Educational Studies at Claremont Graduate University. His specialties include sociology of education, policy, and quantitative research methods. Lynn Tabata is an affiliate graduate faculty member and research consultant at the University of Hawai‘i at Mānoa. Her research interests focus on faculty, distance learning, and technology issues in higher education.

• 1. Introduction to Multilevel Models with Categorical Outcomes. 2. Preparing and Examining the Data for Multilevel Anayses. 3. Specification of Generalized Linear Models. 4. Multilevel Models with Dichotomous Outcomes. 5. Multilevel Models with a Categorical Repeated Measures Outcome. 6. Two-Level Models with Multinomial and Ordinal Outcomes. 7. Two-Level Models with Count Data. 8. Concluding Thoughts.

“This text has artistically balanced ... advanced multilevel concepts and a depth and breadth of topics in a reader-friendly, accessible fashion. ... [It] is poised to make a great splash in the methodological world. ... I have a copy of every text written by these authors and use them consistently for a number of reasons including clarity in writing, comprehensive coverage, and accuracy. This text ... offers these same characteristics. ... Appropriate for graduate level courses ... as well as individual researchers that use multilevel modeling—regardless of discipline.” - Debbie L. Hahs-Vaughn, University of Central Florida, USA“This book is a natural extension to a well-received and highly successful previous project by the same authors. Using essentially the same strategy and approach, this book extends the coverage to advanced models and thereby moves the field even further along. I highly endorse this product." - George Marcoulides, Quantitative Methodology Series Editor, University of California, Riverside, USA“It fills a significant gap in the literature. ... I would purchase this book and recommend it to colleagues who do multilevel modeling with SPSS ... [and] to students who take my courses and workshops. ...The conceptual material is very clear.” - Jason T. Newsom, Portland State University, USA

Ronald Heck is professor of education at the University of Hawai‘i at Mānoa. His areas of interest include organizational theory, leadership, policy, and quantitative research methods. Scott L. Thomas is professor in the School of Educational Studies at Claremont Graduate University. His specialties include sociology of education, policy, and quantitative research methods. Lynn Tabata is an affiliate graduate faculty member and research consultant at the University of Hawai‘i at Mānoa. Her research interests focus on faculty, distance learning, and technology issues in higher education.

• 1. Introduction to Multilevel Models with Categorical Outcomes. 2. Preparing and Examining the Data for Multilevel Anayses. 3. Specification of Generalized Linear Models. 4. Multilevel Models with Dichotomous Outcomes. 5. Multilevel Models with a Categorical Repeated Measures Outcome. 6. Two-Level Models with Multinomial and Ordinal Outcomes. 7. Two-Level Models with Count Data. 8. Concluding Thoughts.

“This text has artistically balanced ... advanced multilevel concepts and a depth and breadth of topics in a reader-friendly, accessible fashion. ... [It] is poised to make a great splash in the methodological world. ... I have a copy of every text written by these authors and use them consistently for a number of reasons including clarity in writing, comprehensive coverage, and accuracy. This text ... offers these same characteristics. ... Appropriate for graduate level courses ... as well as individual researchers that use multilevel modeling—regardless of discipline.” - Debbie L. Hahs-Vaughn, University of Central Florida, USA“This book is a natural extension to a well-received and highly successful previous project by the same authors. Using essentially the same strategy and approach, this book extends the coverage to advanced models and thereby moves the field even further along. I highly endorse this product." - George Marcoulides, Quantitative Methodology Series Editor, University of California, Riverside, USA“It fills a significant gap in the literature. ... I would purchase this book and recommend it to colleagues who do multilevel modeling with SPSS ... [and] to students who take my courses and workshops. ...The conceptual material is very clear.” - Jason T. Newsom, Portland State University, USA

Ronald Heck is professor of education at the University of Hawai‘i at Mānoa. His areas of interest include organizational theory, leadership, policy, and quantitative research methods. Scott L. Thomas is professor in the School of Educational Studies at Claremont Graduate University. His specialties include sociology of education, policy, and quantitative research methods. Lynn Tabata is an affiliate graduate faculty member and research consultant at the University of Hawai‘i at Mānoa. Her research interests focus on faculty, distance learning, and technology issues in higher education.

• 1. Introduction to Multilevel Models with Categorical Outcomes. 2. Preparing and Examining the Data for Multilevel Anayses. 3. Specification of Generalized Linear Models. 4. Multilevel Models with Dichotomous Outcomes. 5. Multilevel Models with a Categorical Repeated Measures Outcome. 6. Two-Level Models with Multinomial and Ordinal Outcomes. 7. Two-Level Models with Count Data. 8. Concluding Thoughts.

“This text has artistically balanced ... advanced multilevel concepts and a depth and breadth of topics in a reader-friendly, accessible fashion. ... [It] is poised to make a great splash in the methodological world. ... I have a copy of every text written by these authors and use them consistently for a number of reasons including clarity in writing, comprehensive coverage, and accuracy. This text ... offers these same characteristics. ... Appropriate for graduate level courses ... as well as individual researchers that use multilevel modeling—regardless of discipline.” - Debbie L. Hahs-Vaughn, University of Central Florida, USA“This book is a natural extension to a well-received and highly successful previous project by the same authors. Using essentially the same strategy and approach, this book extends the coverage to advanced models and thereby moves the field even further along. I highly endorse this product." - George Marcoulides, Quantitative Methodology Series Editor, University of California, Riverside, USA“It fills a significant gap in the literature. ... I would purchase this book and recommend it to colleagues who do multilevel modeling with SPSS ... [and] to students who take my courses and workshops. ...The conceptual material is very clear.” - Jason T. Newsom, Portland State University, USA