Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.

Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.

The overall purpose of this text is to introduce beginning researchers to the study of educational and social policy, how it has been examined from a scholarly perspective, and the salient issues to consider in conceptualizing and conducting policy research. The emphasis is on "introduce," as the various policy fields within the public sector (for example, education, energy, health, labor) are much too diverse to include in depth in a single volume on theoretical concepts and research methods. The focus is not so much on the substance of policymaking as on understanding the interplay between how policy is made and implemented and the various conceptual approaches and methods researchers can use to frame and conduct policy studies.
The underlying assumption is that a critique of the substantive, theoretical, and methodological issues involved in studying policy can help researchers conduct policy studies that are more informative in guiding policy development and more effective in assessing the impact of policy reforms.
*Part I acquaints readers with substantive issues and challenges related to the study of the policy process, and includes chapters on federalism and policymaking, and on studying policy development, implementation, and impact.
*Part II examines different conceptual frameworks and theories for the study of policy, with chapters on political culture and policymaking, the punctuated-equilibrium theory and the advocacy coalition framework, economic and organizational perspectives, and new approaches (e.g., feminism, critical theory, postmodernism).
*Part III focuses research methods for studying policy, covering research design, qualitative methods, multilevel methods for policy research, and growth modeling methods for examining policy change.
*Part IV compares the diversity of approaches used by policy scholars with respect to their strengths and weaknesses, and presents a number of issues for further consideration in conducting policy research.
This introduction to theories and methods of conducting policy research is intended to give prospective researchers an appreciation of the relationship among policy problems, empirical methods, and practice, and to contribute to building their skills in conceptualizing and conducting policy research that answers important questions. The text includes examples of studies to illustrate the diversity of methodological techniques, and discusses issues related to the design and conduct of original educational policy studies.
"Studying Educational and Social Policy: Theoretical Concepts and Research Methods" is designed primarily for graduate courses in educational policy and educational research and is appropriate as well for research methodology courses in other disciplines, including statistics and research methodology in the social sciences, organizational studies, public policy, and political science

This comprehensive educational history of public schools in Hawai'i shows and analyzes how dominant cultural and educational policy have affected the education experiences of Native Hawaiians. Drawing on institutional theory as a scholarly lens, the authors focus on four historical cases representing over 150 years of contact with the West. They carefully link historical events, significant people, educational policy, and law to cultural and social consequences for Native Hawaiian children and youth.
The authors argue that since the early 1800s, educational policy in Hawai'i emphasizing efficiency has resulted in institutional structures that have degenerated Hawaiian culture, self-image, and sovereignty. Native Hawaiians have often been denied equal access to quality schools and resulting increased economic and social status. These policies were often overtly, or covertly, racist and reflected wider cultural views prevalent across the United States regarding the assimilation of groups into the American mainstream culture.
The case of education in Hawai'i is used to initiate a broader discussion of similar historical trends in assimilating children of different backgrounds into the American system of education. The scholarly analysis presented in this book draws out historical, political, cultural, and organizational implications that can be employed to understand other Native and non-Native contexts. Given the increasing cultural diversity of the United States and the perceived failure of the American educational system in light of these changes, this book provides an exceptionally appropriate starting point to begin a discussion about past, present, and future schooling for our nation's children. Because it is written and comes from a Native perspective, the value of the "insider" view is illuminated. This underlying reminder of the Native eye is woven throughout the book in "Ha'awina No'ono'o"--the sharing of thoughts from the Native Hawaiian author.
With its primary focus on the education of native groups, this book is an extraordinary and useful work for scholars, thoughtful practitioners, policymakers, and those interested in Hawai'i, Hawaiian education, and educational policy and theory.

This comprehensive educational history of public schools in Hawai'i shows and analyzes how dominant cultural and educational policy have affected the education experiences of Native Hawaiians. Drawing on institutional theory as a scholarly lens, the authors focus on four historical cases representing over 150 years of contact with the West. They carefully link historical events, significant people, educational policy, and law to cultural and social consequences for Native Hawaiian children and youth.
The authors argue that since the early 1800s, educational policy in Hawai'i emphasizing efficiency has resulted in institutional structures that have degenerated Hawaiian culture, self-image, and sovereignty. Native Hawaiians have often been denied equal access to quality schools and resulting increased economic and social status. These policies were often overtly, or covertly, racist and reflected wider cultural views prevalent across the United States regarding the assimilation of groups into the American mainstream culture.
The case of education in Hawai'i is used to initiate a broader discussion of similar historical trends in assimilating children of different backgrounds into the American system of education. The scholarly analysis presented in this book draws out historical, political, cultural, and organizational implications that can be employed to understand other Native and non-Native contexts. Given the increasing cultural diversity of the United States and the perceived failure of the American educational system in light of these changes, this book provides an exceptionally appropriate starting point to begin a discussion about past, present, and future schooling for our nation's children. Because it is written and comes from a Native perspective, the value of the "insider" view is illuminated. This underlying reminder of the Native eye is woven throughout the book in "Ha'awina No'ono'o"--the sharing of thoughts from the Native Hawaiian author.
With its primary focus on the education of native groups, this book is an extraordinary and useful work for scholars, thoughtful practitioners, policymakers, and those interested in Hawai'i, Hawaiian education, and educational policy and theory.

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568.

The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced.

Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.

The overall purpose of this text is to introduce beginning researchers to the study of educational and social policy, how it has been examined from a scholarly perspective, and the salient issues to consider in conceptualizing and conducting policy research. The emphasis is on "introduce," as the various policy fields within the public sector (for example, education, energy, health, labor) are much too diverse to include in depth in a single volume on theoretical concepts and research methods. The focus is not so much on the substance of policymaking as on understanding the interplay between how policy is made and implemented and the various conceptual approaches and methods researchers can use to frame and conduct policy studies.
The underlying assumption is that a critique of the substantive, theoretical, and methodological issues involved in studying policy can help researchers conduct policy studies that are more informative in guiding policy development and more effective in assessing the impact of policy reforms.
*Part I acquaints readers with substantive issues and challenges related to the study of the policy process, and includes chapters on federalism and policymaking, and on studying policy development, implementation, and impact.
*Part II examines different conceptual frameworks and theories for the study of policy, with chapters on political culture and policymaking, the punctuated-equilibrium theory and the advocacy coalition framework, economic and organizational perspectives, and new approaches (e.g., feminism, critical theory, postmodernism).
*Part III focuses research methods for studying policy, covering research design, qualitative methods, multilevel methods for policy research, and growth modeling methods for examining policy change.
*Part IV compares the diversity of approaches used by policy scholars with respect to their strengths and weaknesses, and presents a number of issues for further consideration in conducting policy research.
This introduction to theories and methods of conducting policy research is intended to give prospective researchers an appreciation of the relationship among policy problems, empirical methods, and practice, and to contribute to building their skills in conceptualizing and conducting policy research that answers important questions. The text includes examples of studies to illustrate the diversity of methodological techniques, and discusses issues related to the design and conduct of original educational policy studies.
"Studying Educational and Social Policy: Theoretical Concepts and Research Methods" is designed primarily for graduate courses in educational policy and educational research and is appropriate as well for research methodology courses in other disciplines, including statistics and research methodology in the social sciences, organizational studies, public policy, and political science