Change is constant in everyday life. Infants crawl and then walk, children learn to read and write, teenagers mature in myriad ways, the elderly become frail and forgetful. Beyond these natural processes and events, external forces and interventions instigate and disrupt change: test scores may rise after a coaching course, drug abusers may remain abstinent after residential treatment. By charting changes over time and investigating whether and when events occur, researchers reveal the temporal rhythms of our lives. Applied Longitudinal Data Analysis is a much-needed professional book for empirical researchers and graduate students in the behavioral, social, and biomedical sciences. It offers the first accessible in-depth presentation of two of today's most popular statistical methods: multilevel models for individual change and hazard/survival models for event occurrence (in both discrete- and continuous-time). Using clear, concise prose and real data sets from published studies, the authors take you step by step through complete analyses, from simple exploratory displays that reveal underlying patterns through sophisticated specifications of complex statistical models. Applied Longitudinal Data Analysis offers readers a private consultation session with internationally recognized experts and represents a unique contribution to the literature on quantitative empirical methods. Visit http://www.ats.ucla.edu/stat/examples/alda.htm for: � Downloadable data sets � Library of computer programs in SAS, SPSS, Stata, HLM, MLwiN, and more � Additional material for data analysis

Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence

Politics & Social Sciences

Singer, Judith D.

Willett, John B.

Social Sciences

Oxford University Press

Educational policy-makers around the world constantly make decisions about how to use scarce resources to improve the education of children. Unfortunately, their decisions are rarely informed by evidence on the consequences of these initiatives in other settings. Nor are decisions typically accompanied by well-formulated plans to evaluate their causal impacts. As a result, knowledge about what works in different situations has been very slow to accumulate. Over the last several decades, advances in research methodology, administrative record keeping, and statistical software have dramatically increased the potential for researchers to conduct compelling evaluations of the causal impacts of educational interventions, and the number of well-designed studies is growing. Written in clear, concise prose, Methods Matter: Improving Causal Inference in Educational and Social Science Research offers essential guidance for those who evaluate educational policies. Using numerous examples of high-quality studies that have evaluated the causal impacts of important educational interventions, the authors go beyond the simple presentation of new analytical methods to discuss the controversies surrounding each study, and provide heuristic explanations that are also broadly accessible. Murnane and Willett offer strong methodological insights on causal inference, while also examining the consequences of a wide variety of educational policies implemented in the U.S. and abroad. Representing a unique contribution to the literature surrounding educational research, this landmark text will be invaluable for students and researchers in education and public policy, as well as those interested in social science.

Methods Matter: Improving Causal Inference in Educational and Social Science Research

Reference

Murnane, Richard J.

Words, Language & Grammar

By Design: Planning Research on Higher Education

Do students who work longer and harder learn more in college? Does joining a fraternity with a more academic flavor enhance a student's academic performance? When are the results from an innovation that is tried on one campus applicable to other campuses? How many students and faculty members must participate in a research project before findings are valid? Do students learn best when they study alone or in small groups?These are just some more than fifty examples that Richard Light Judith Singer and John Willett explore in By Design, a lively nontechnical sourcebook for learning about colleges and universities. These authors believe that careful design of research on college effectiveness is the single most important step toward producing useful and valid findings. In that spirit, By Design is a pathbreaking textbook of modern research methods that both practitioners and students will find useful.

Education & Teaching

Light, Richard J.

Schools & Teaching

Harvard University Press

Will America find enough good teachers to staff its public schools? How can we ensure that all our children will be taught by skilled professionals? The policies that determine who teaches today are a confusing and often conflicting array that includes tougher licensing requirements, higher salaries, mandatory master's degrees, merit pay, and alternative routes to certification. Who Will Teach? examines these policies and separates those that work from those that backfire.
The authors present an intriguing portrait of America's teachers and reveal who they are, who they have been, and who they will be. Using innovative statistical methods to track the professional lives of more than 50,000 college graduates, the book describes, in many cases for the first time, just how prospective, current, and former teachers respond to the incentives and disincentives they face. The authors, a group of noted educators, economists, and statisticians, find cause for serious concern. Few academically talented college graduates even try teaching, and many of those who do leave quickly, never to return. Current licensing requirements stifle innovation in training and dissuade many potentially talented teachers at the outset.
But Who Will Teach? shows that we can reverse these trends if we get the incentives right. Although better salaries are essential, especially for new teachers, money is not enough. Potential teachers should be offered alternative paths into the classroom. School districts should improve their recruiting strategies. Licensing criteria should assess teaching skills, not just academic achievement and number of courses completed. The authors offer a promising strategy based on high standards and substantial rewards.

Who Will Teach?: Policies That Matter

Kemple, James J.

Olsen, Randall J.

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