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Hierarchical Linear Models
Hierarchical Linear Models launches a new Sage series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the theory and use of hierarchical linear models (HLM) through rich, illustrative examples and lucid explanations. The presentation remains reasonably nontechnical by focusing on three general research purposes - improved estimation of effects within an individual unit, estimating and testing hypotheses about cross-level effects, and partitioning of variance and covariance components among levels. This innovative volume describes use of both two and three level models in organizational research, studies of individual development and meta-analysis applications, and concludes with a formal derivation of the statistical methods used in the book.
The Ambitious Elementary School
The challenge of overcoming educational inequality in the United States can sometimes appear overwhelming, and great controversy exists as to whether or not elementary schools are up to the task, whether they can ameliorate existing social inequalities and initiate opportunities for economic and civic flourishing for all children. This book shows what can happen when you rethink schools from the ground up with precisely these goals in mind, approaching educational inequality and its entrenched causes head on, student by student. Drawing on an in-depth study of real schools on the South Side of Chicago, Elizabeth McGhee Hassrick, Stephen W. Raudenbush, and Lisa Rosen argue that effectively me...
Research on Schools, Neighborhoods, and Communities
Research on Schools, Neighborhoods, and Communities: Toward Civic Responsibility focuses on research and theoretical developments related to the role of geography in education, human development, and health. William F. Tate IV, the Edward Mallinckrodt Distinguished University Professor in Arts & Sciences at Washington University in St. Louis and former President of the American Educational Research Association, presents a collection of chapters from across disciplines to further understand the strengths of and problems in our communities. Today, many research literatures--e.g., health, housing, transportation, and education--focus on civic progress, yet rarely are there efforts to interrelat...
Designing Teacher Evaluation Systems
WHAT IS EFFECTIVE TEACHING? It’s not enough to say “I know it when I see it” – not when we’re expecting so much more from students and teachers than in the past. To help teachers achieve greater success with their students we need new and better ways to identify and develop effective teaching. The Measures of Effective Teaching (MET) project represents a groundbreaking effort to find out what works in the classroom. With funding by the Bill & Melinda Gates Foundation, the MET project brought together leading academics, education groups, and 3,000 teachers to study teaching and learning from every angle. Its reports on student surveys, observations, and other measures have shaped po...
Evidence Matters
Researchers use a variety of tools to determine their impact and efficacy, including sample surveys, narrative studies, and exploratory research. However, randomized field trials, which are commonly used in other disciplines, are rarely employed to measure the impact of education practice. Evidence Matters explores the history and current status of research in education and encourages the more frequent use of such trials.
Applied Analysis of Variance in Behavioral Science
A reference devoted to the discussion of analysis of variance (ANOVA) techniques. It presents ANOVA as a research design, a collection of statistical models, an analysis model, and an arithmetic summary of data. Discussion focuses primarily on univariate data, but multivariate generalizations are to
Handbook of Multilevel Analysis
This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.
The Handbook of Research Synthesis and Meta-Analysis
Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of The Handbook of Research Synthesis and Meta-Analysis was published in 1994, it quickly became the definitive reference for conducting meta-analyses in both the social and behavioral sciences. In the third edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of classic chapters and add new sections that evaluate cutting-edge developments in the field. The Handbook of Research Synthesis and Meta-Analysis draws upon groundbreaking advances that have transforme...
