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In this book, the authors provide a cogent review of statistical and interpretive procedures that, in combination, can be used to reduce the likelihood that tests contain items that favor members of one gender, age, racial, or ethnic group over equally able members of another group, for reasons that are unrelated to the objectives and purposes of measurement. Such test items are said to be biased against the equally able members of the group that is not favored. The methods described and illustrated in this book have the potential to reducing the incidence of tests that are, in their construction, biased against members of one or more groups. These methods have the potential of controlling an important source of invalidity when test results are interpreted.
A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in research across various fields of study. Some researchers are highly skeptical of drawing causal conclusions except in tightly controlled randomized experiments, while others discount the threats posed by different sources of bias, even in less rigorous observational studies. Bias and Causation presents a complete treatment of the subject, organizing and clarifying the diverse types of biases into a conceptual framework. The book treats various sources of bias in comparative studies—both randomized and observational—and offers guidance on how they should be addressed by researchers. Utilizing a relatively simple mathematical approach, the author develops a theory of bias that outlines the essential nature of the problem and identifies the various sources of bias that are encountered in modern research. The book begins with an introduction to the study of causal inference and the related concepts and terminology. Next, an overview is provided of the methodological issues at the core of the difficulties posed by bias. Subsequent chapters explain the concepts of selection bias, confounding, intermediate causal factors, and information bias along with the distortion of a causal effect that can result when the exposure and/or the outcome is measured with error. The book concludes with a new classification of twenty general sources of bias and practical advice on how mathematical modeling and expert judgment can be combined to achieve the most credible causal conclusions. Throughout the book, examples from the fields of medicine, public policy, and education are incorporated into the presentation of various topics. In addition, six detailed case studies illustrate concrete examples of the significance of biases in everyday research. Requiring only a basic understanding of statistics and probability theory, Bias and Causation is an excellent supplement for courses on research methods and applied statistics at the upper-undergraduate and graduate level. It is also a valuable reference for practicing researchers and methodologists in various fields of study who work with statistical data. This book was selected as the 2011 Ziegel Prize Winner in Technometrics for the best book reviewed by the journal. It is also the winner of the 2010 PROSE Award for Mathematics from The American Publishers Awards for Professional and Scholarly Excellence
The IAAP Handbook of Applied Psychology, an up-to-date and authoritative reference, provides a critical overview of applied psychology from an international perspective. Brings together articles by leading authorities from around the world Provides the reader with a complete overview of the field and highlights key research findings Divided into three parts: professional psychology, substantive areas of applied psychology, and special topics in applied psychology Explores the challenges, opportunities, and potential future developments in applied psychology Features comprehensive coverage of the field, including topics as diverse as clinical health psychology, environmental psychology, and consumer psychology
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Researchers and theoreticians commonly acknowledge the profound impact of culture on all aspects of development. However, many in the field are often unaware of the latest cultural literatures or how development proceeds in places other than their home locations. This comprehensive handbook covers all domains of developmental science from a cultural point of view and in all regions of the globe. Part 1 covers domains of development across cultures, and Part 2 focuses on development in different places around the world. The Handbook documents child and caregiver characteristics associated with cultural variation, and it charts relations between cultural and developmental variations in physical, mental, emotional, and social development in children, parents, and cultural groups. This contemporary and scholarly resource of culture in development covers theoretical, methodological, substantive, and ethnic issues as well as geographic approaches. Each chapter includes an introduction, historical and demographic considerations, theory, an overview of the most important classical and modern research studies, recommended future directions in theory and research, and a conclusion. The chapters focus on children from the prenatal stage through adolescence. Interdisciplinary in nature, the Handbook will appeal to human development theoreticians, researchers, and students in psychology, education, and pediatrics. Ideal for those new to the field, readers will appreciate the plethora of cultural examples from all fields of child and human development and developmental examples from all fields of cultural study.