Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. -- Provided by Publisher.
This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. It's ideal for courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology.
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 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.
The purpose of this textbook is to introduce beginning researchers to the study of policy making, how it has been examined from a scholarly perspective, and the salient issues to consider in conceptualizing and conducting policy research.
Research is increasingly becoming more influential in the field of education and this Handbook brings together a range of top academic experts who represent diverse fields within and outside of education, as well as quantitative, qualitative, and mixed method approaches to provide an upto- date, advanced analysis of all relevant issues involved in educational research. The Handbook is written in lively, welcoming prose and central to the handbook is an intention to encourage and help researchers place ideas at the epicenter of inquiry. In addition explicit discussion of the fundamental challenges that researchers must consciously address throughout their inquiry are identified and solutions provided to help future researchers overcome similar obstacles.
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