An observational study is an empirical investigation of the effects of treatments, policies, or exposures. It differes from an experiment in that the investigator cannot control the assignments of treatments to subjects. Scientists across a wide range of disciplines undertake such studies, and the aim of this book is to provide a sound statistical account of the principles and methods for the design and analysis of observational studies. Readers are assumed to have a working knowledge of basic probability and statistics, but otherwise the account is reasonably self-contained. Throughout there are extended discussions of actual observational studies to illustrate the ideas discussed. These are drawn from topics as diverse as smoking and lung cancer, lead in children, nuclear weapons testing, and placement programs for students. As a result, many researchers involved in observational studes will find this an invaluable companion to their work.

A daily glass of wine prolongs life—yet alcohol can cause life-threatening cancer. Some say raising the minimum wage will decrease inequality while others say it increases unemployment. Scientists once confidently claimed that hormone replacement therapy reduced the risk of heart disease but now they equally confidently claim it raises that risk. What should we make of this endless barrage of conflicting claims? Observation and Experiment is an introduction to causal inference by one of the field’s leading scholars. An award-winning professor at Wharton, Paul Rosenbaum explains key concepts and methods through lively examples that make abstract principles accessible. He draws his examples from clinical medicine, economics, public health, epidemiology, clinical psychology, and psychiatry to explain how randomized control trials are conceived and designed, how they differ from observational studies, and what techniques are available to mitigate their bias. “Carefully and precisely written...reflecting superb statistical understanding, all communicated with the skill of a master teacher.” —Stephen M. Stigler, author of The Seven Pillars of Statistical Wisdom “An excellent introduction...Well-written and thoughtful...from one of causal inference’s noted experts.” —Journal of the American Statistical Association “Rosenbaum is a gifted expositor...an outstanding introduction to the topic for anyone who is interested in understanding the basic ideas and approaches to causal inference.” —Psychometrika “A very valuable contribution...Highly recommended.” —International Statistical Review

The research methods described and illustrated in this book are those particularly useful to the field of clinical and health psychology and cover both qualitative and quantitative approaches.

While providing an introduction to basic principles and strategies, Participant Observation also explores the philosophy and methodology underlying the actual practice of participant observation. Taking a thoroughly practical approach to the methods of participant observation, Danny L. Jorgensen illustrates these methods with both classic and current research studies. By using the materials in this book, the reader can begin conducting participant observation research on their own.

An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. Design of Observational Studies is divided into four parts. Chapters 2, 3, and 5 of Part I cover concisely, in about one hundred pages, many of the ideas discussed in Rosenbaum’s Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates. Part II includes a chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher’s striking advice for observational studies, "make your theories elaborate." The second edition of his book, Observational Studies, was published by Springer in 2002.

The Handbook of Qualitative Research in American Music Education is a resource for music education researchers, music education graduate students, and P-16 music teachers. Qualitative research has become an increasingly popular research approach in music education in the last 20 years and until now there has been no source that clarifies terms, challenges, and issues in qualitative research for music education. This Handbook provides that clarification and presents model qualitative studies within the various music education disciplines. The first section of the text defines qualitative research, provides a history of qualitative research in music education, clarifies epistemological foundations and theoretical frameworks and addresses quality in qualitative research. The approaches of case study, ethnography, phenomenology, narrative, and practitioner inquiry are addressed in the second section. Part III examines data collection and analysis with regard to observations, interviews, documents and multi-media data. Within the 11 chapters in the fourth part of the book authors provide syntheses of qualitative research within various areas of music education (i.e., early childhood, strings, and teacher education). The final part of the book examines technology, rigor, ethics, and the future of qualitative research.

Child Observation for Learning and Research is an exciting new text, providing a thorough grounding in the methodology, practice and interpretation of observing children. The authors draw on their experience and expertise in childcare, education, social work and research to introduce the fundamental principles and process of observation, preparing you for your first observation and building knowledge and confidence through a wide range of scenarios and activities. The book takes the unique approach of demonstrating how acquiring observational skills can serve as a key learning tool, not only helping you to understand children, but also to recognise, analyse and question theory, helping you make sense of your own learning.