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Almost entirely rewritten and reformatted with many more learning tools, this classic text now has even greater appeal to today’s students. This edition features much more discussion of how research methods are relevant for practitioners, and many examples are based on field research and service delivery scenarios. This comprehensive treatment of single-subject or within-subject design focuses on the strategic (the overall goal) and tactical (the methods and procedures) options available to investigators as they try to determine the most effective way of addressing research questions. The authors guide readers to consider the rationale for different ways of measuring behavior and designing experimental comparisons. At every point, the text explains the strengths and weaknesses of alternative choices so that readers can make the best decision in each situation. Highlights of the new third edition include: Rewritten in a straightforward and accessible style for students without a background in this area, this edition features many more field-based examples and applications. Increased focus on the application of research methods to the needs of practitioners in measuring behavior change and evaluating interventions under field conditions. Increased use of learning aids, including a "built-in study guide," summary tables, figures, boxed discussions of special topics, key terms with definitions, chapter summaries, suggested readings, discussion questions and exercises, and a glossary. Instructor’s resource materials available on a password-protected website with digital access to figures, tables, definition of new terms by chapters, multiple choice test questions, and content from the book’s learning aids, including study guide questions and suggested topics for class discussion and exercises. With a focus on direct behavioral measurement and within-subject design, this book is intended for advanced undergraduate or graduate courses in behavioral research methods, basic or applied behavior analysis, or single-/within-subject design taught in psychology (especially clinical and counseling psychology), social work, education, developmental disabilities, and other social and health science programs that deal with human behavior in research or practice settings. Although the book is written for students without a background in behavioral research, its comprehensive approach to designing procedures for measuring behavior and creating experimental comparisons also make it a valuable resource for investigators and professionals.
Strategies and Tactics of Behavioral Research and Practice focuses on the most effective methods for measuring and evaluating changes in behavior. The authors provide the rationale for different procedures for measuring behavior and designing within-subject comparisons between control and intervention conditions. The text explains the strengths and weaknesses of methodological alternatives for every topic so that behavioral researchers and practitioners can make the best decisions in each situation. This classic text has been extensively revised to be more accessible and practical. Not only does it feature much more discussion of how research methods are relevant to today’s practitioners, it also includes additional examples based on field research and service delivery scenarios. With expanded coverage on creating experimental designs, as well as new chapters on behavioral assessment, the statistical analysis of data, and ethical issues associated with research methods, this book provides a strong foundation for direct behavioral measurement, within-subject research design, and interpretation of behavioral interventions. Enriched with more pedagogical features, including key terms, tables summarizing important points, figures to help readers visualize text, and updated examples and suggested readings, this book is an invaluable resource for students taking courses in research methods. This book is appropriate for researchers and practitioners in behavior analysis, psychology, education, social work, and other social and health science programs that address questions about behavior in research or practice settings.
In this anticipated new edition of Single Case Research Methodology, David L. Gast and Jennifer R. Ledford detail why and how to apply standard principles of single case research methodology to one’s own research or professional project. Using numerous and varied examples, they demonstrate how single case research can be used for research in behavioral and school psychology, special education, speech and communication sciences, language and literacy, occupational therapy, and social work. This thoroughly updated new edition features two entirely new chapters on measurement systems and controversial issues in single subject research, in addition to sample data sheets, graphic displays, and detailed guidelines for conducting visual analysis of graphic data. This book will be an important resource to student researchers, practitioners, and university faculty who are interested in answering applied research questions and objectively evaluating educational and clinical practices.
Positivism needs further scrutiny. In recent years, there has been little consensus about the nature of positivism or about the precise forms its influence has taken on psychological theory. One symptom of this lack of clarity has been that ostensibly anti-positivist psychological theorizing is frequently found reproducing one or more distinctively positivist assumptions. The contributors to this volume believe that, while virtually every theoretically engaged psychologist today openly rejects positivism in both its 19th century and 20th century forms, it is indispensable to look at positivism from all sides and to appraise its role and importance in order to make possible the further development of psychological theory.
The information age owes its existence to a little-known but crucial development, the theoretical study of logic and the foundations of mathematics. The Great Formal Machinery Works draws on original sources and rare archival materials to trace the history of the theories of deduction and computation that laid the logical foundations for the digital revolution. Jan von Plato examines the contributions of figures such as Aristotle; the nineteenth-century German polymath Hermann Grassmann; George Boole, whose Boolean logic would prove essential to programming languages and computing; Ernst Schröder, best known for his work on algebraic logic; and Giuseppe Peano, cofounder of mathematical logic. Von Plato shows how the idea of a formal proof in mathematics emerged gradually in the second half of the nineteenth century, hand in hand with the notion of a formal process of computation. A turning point was reached by 1930, when Kurt Gödel conceived his celebrated incompleteness theorems. They were an enormous boost to the study of formal languages and computability, which were brought to perfection by the end of the 1930s with precise theories of formal languages and formal deduction and parallel theories of algorithmic computability. Von Plato describes how the first theoretical ideas of a computer soon emerged in the work of Alan Turing in 1936 and John von Neumann some years later. Shedding new light on this crucial chapter in the history of science, The Great Formal Machinery Works is essential reading for students and researchers in logic, mathematics, and computer science.
Intended for beginning graduate or advanced undergraduate students, this book provides a comprehensive review of research methods used in psychology and related disciplines. It covers topics that are often omitted in other texts including correlational and qualitative research and integrative literature reviews. Basic principles are reviewed for those who need a refresher. The focus is on conceptual issues – statistics are kept to a minimum. Featuring examples from all fields of psychology, the book addresses laboratory and field research. Chapters are written to be used independently, so instructors can pick and choose those that fit their course needs. Reorganized to parallel the steps of the research process, tips on writing reports are also provided. Each chapter features an outline, key terms, a summary, and questions and exercises that integrate chapter topics and put theory into practice. A glossary and an annotated list of readings are now included. Extensively updated throughout, the new edition features a new co-author, Mary Kite, and: • New chapters on qualitative research and content analysis and another on integrative literature reviews including meta-analysis, critical techniques for today’s research environment. • A new chapter on exploratory and confirmatory factor analysis that addresses the use of path analysis and structural equation modeling. • A new chapter on how to write a research report using APA style. • Examples from cross-cultural and multi-cultural research, neuroscience, cognitive, and developmental psychology along with ones from social, industrial, and clinical psychology. • More on Internet research and studies. • Greatly expanded Part 3 on research designs with chapters on true experiments, field research, correlational and single-case designs, content analysis, and survey and qualitative research. • A website with PowerPoint slides for each chapter, a test bank with short answer and multiple choice questions, additional teaching resources, and the tables and figures from the book for Instructor’s and chapter outlines, suggested readings, and links to related web sites for students. Intended as a text for beginning graduate and/or advanced undergraduate courses in research methods or experimental methods or design taught in psychology, human development, family studies, education, or other social and behavioral sciences, a prerequisite of undergraduate statistics and a beginning research methods course is assumed.
Research Methods for Construction will help you instil rigour into your problem-solving, and into your reports and publications. It will be of value to construction, surveying, architecture and civil engineering students undertaking research, whether for bachelors and masters degree dissertations, or for masters and doctoral research degree theses. Now in its Fourth Edition, this remains one of the few books to provide guidance on research formulation, methodologies, and methods specifically for construction students. Three main sections – Producing a Proposal, Executing the Research and Reporting the Results discuss the key issues in research and examine the primary approaches, both qualitative and quantitative. The methods adopted for scientific and engineering experiments, model building and simulations are discussed, as well as those employed for research into management, social and economic issues. The authors examine the requirements for data and analysis, including the important statistical considerations and a range of qualitative techniques that enable construction researchers to appreciate what needs to be evaluated in devising how research may be carried out effectively and efficiently. This new edition has been updated to reflect current debates and concerns, including ethical issues, legislation and codes of practice concerning the collection, processing, storage, use and disposal of data. Pressures of time and funding to carry out the empirical work all too often lead to a lack of attention to how the study should be done and why. The authors address the importance of explaining the philosophical approach adopted (ontology, epistemology) and the consequent methodology. They advocate close scrutiny of the methods available for appropriateness, both academically and practically. The fundamental theme of the book remains to facilitate a researcher’s informed and justified selection of a philosophical paradigm and of appropriate methods to execute the research.
Optimization is a mathematical tool developed in the early 1960's used to find the most efficient and feasible solutions to an engineering problem. It can be used to find ideal shapes and physical configurations, ideal structural designs, maximum energy efficiency, and many other desired goals of engineering. This book is intended for use in a first course on engineering design and optimization. Material for the text has evolved over a period of several years and is based on classroom presentations for an undergraduate core course on the principles of design. Virtually any problem for which certain parameters need to be determined to satisfy constraints can be formulated as a design optimization problem. The concepts and methods described in the text are quite general and applicable to all such formulations. Inasmuch, the range of application of the optimum design methodology is almost limitless, constrained only by the imagination and ingenuity of the user. The book describes the basic concepts and techniques with only a few simple applications. Once they are clearly understood, they can be applied to many other advanced applications that are discussed in the text. Allows engineers involved in the design process to adapt optimum design concepts in their work using the material in the text Basic concepts of optimality conditions and numerical methods are described with simple examples, making the material high teachable and learnable Classroom-tested for many years to attain optimum pedagogical effectiveness
Educational Research: Quantitative, Qualitative, and Mixed Approaches by R. Burke Johnson and Larry Christensen offers a comprehensive, accessible introduction to research methods for undergraduate and graduate students. Readers will develop an understanding of the multiple research methods and strategies used in education and related fields, including how to read and critically evaluate published research and how to write a proposal, construct a questionnaire, and conduct an empirical research study on their own. The Eighth Edition maintains the features that made this book a best-seller, including attention-grabbing chapter-opening vignettes, lively examples that engage student interest, a conversational and friendly writing style, and more. Fully updated for the Seventh Edition of the Publication Manual of the American Psychological Association, this new edition includes expanded information on research ethics and IRBs, expanded and more current information on sampling and causation across research designs, and the latest thinking on mixed methods research. Designed to make learning about research methods enjoyable without sacrificing the necessary rigor, this highly readable text transforms readers into critical consumers and users of research.