This volume provides a comprehensive summary of developments in theories and techniques within the areas of sampling, measurement, and statistical methods for analyzing behavioral data. By unifying new theories, techniques, methodologies, terminology, and language in behavioral observation research, the authors provide a comprehensive source for students and researchers.

Behavioral scientists – including those in psychology, infant and child development, education, animal behavior, marketing and usability studies – use many methods to measure behavior. Systematic observation is used to study relatively natural, spontaneous behavior as it unfolds sequentially in time. This book emphasizes digital means to record and code such behavior; while observational methods do not require them, they work better with them. Key topics include devising coding schemes, training observers and assessing reliability, as well as recording, representing and analyzing observational data. In clear and straightforward language, this book provides a thorough grounding in observational methods along with considerable practical advice. It describes standard conventions for sequential data and details how to perform sequential analysis with a computer program developed by the authors. The book is rich with examples of coding schemes and different approaches to sequential analysis, including both statistical and graphical means.

Designed to support global development of nursing science, the Routledge International Handbook of Advanced Quantitative Methods in Nursing Research provides a new, comprehensive, and authoritative treatment of advanced quantitative methods for nursing research. Incorporating past approaches that have served as the foundation for the science, this cutting edge book also explores emerging approaches that will shape its future. Divided into six parts, it covers: -the domain of nursing science - measurement—classical test theory, IRT, clinimetrics, behavioral observation, biophysical measurement -models for prediction and explanation—SEM, general growth mixture models, hierarchical models, analysis of dynamic systems -intervention research—theory-based interventions, causality, third variables, pilot studies, quasi-experimental design, joint models for longitudinal data and time to event -e-science—DIKW paradigm, big data, data mining, omics, FMRI -special topics—comparative effectiveness and meta-analysis, patient safety, economics research in nursing, mixed methods, global research dissemination Written by a distinguished group of international nursing scientists, scientists from related fields, and methodologists, the Handbook is the ideal reference for everyone involved in nursing science, whether they are graduate students, academics, editors and reviewers, or clinical investigators.

This book introduces the reader to the power of observation before, and sometimes instead of, experimental manipulation in the study of animal behaviour. It starts with simple and easily accessible methods suitable for student projects, before going on to demonstrate the possibilities that now exist for far more sophisticated analyses of observational data. At a time when animal welfare considerations are attracting political as well as scientific debate, the potential for non-intrusive studies on animals is being increasingly recognized. Observation emerges as a valuable alternative approach, often yielding highly informative results in situations (such as on zoos, farms or for wild animals) where more invasive experimental techniques would be undesirable, unethical or just plain impossible. However, to justify its place alongside experimentation as a rigorous scientific method, observation needs to be just as disciplined and systematic and have just as much attention paid to project design in the way that observations are made and recorded. Observing Animal Behaviour takes the reader through all these stages: from the initial observations, to the formulation of hypotheses, and their subsequent testing with further systematic observations. Although designed principally as a companion text for advanced undergraduate and students taking courses in animal behaviour, this accessible text will be essential reading for anyone wanting to study animal behaviour using observational methods rather than experimentation, and assumes no previous knowledge of animals, statistics or scientific method. It will be of particular relevance and use to those professional researchers and consultants in the behavioural sciences who seek a compact but comprehensive introduction to the quantitative observation of animal behaviour.

"Yoder and Symons bring decades of work to bear and it shows....[The book is] presented with broad scholarship and conceptual depth." óRoger Bakeman, PhD Professor Emeritus Georgia State University "This outstanding volume transcends the typical treatment of behavior observation methods in introductory research texts. Yoder and Symons articulate a set of measurement principles that serve as the foundation for behavior observation as a scientific tool." óWilliam E. MacLean Jr., PhD Executive Director Wyoming Institute for Disabilities University of Wyoming This comprehensive textbook introduces graduate students to the competent conduct of observational research methods and measurement. The unique approach of this book is that the chapters delineate not only the techniques and mechanics of observational methods, but also the theoretical and conceptual underpinnings of these methods. The observational methods presented can be used for both single-subject and group-design perspectives, showing students how and when to use both methodologies. In addition, the authors provide many practical exercises within chapters as well as electronic media files of a sample observation session to code with multiple behavior sampling methods. Key topics: Improving measurement of generalized characteristics through direct observation and the generalizability theory Developing coding schemes and designing or adapting coding manuals Determining sampling methods and metrics for observational variables Training observers and assessing their agreement Performing sequential analysis on observational data Assessing the validity of observational variables

This volume is dedicated to the late B.F. Skinner as a tribute to his pioneering work on the Experimental Analysis of Behavior. This science that he initiated studies the behavior of individual organisms under laboratory conditions. The volume describes a broad collection of representative and effective research techniques in the Experimental Analysis of Behavior; techniques derived solely from infrahuman subjects, which have been selected both for their utility in behavior analysis and for their potential value in expanding the use of behavior analysis in the neurosciences. By bringing together under one cover the expertise of individual authors regarding techniques based on their particular laboratory experiences, the book provides an informative and practical source of methods and techniques for those practising or interested in Experimental Analysis of Behaviour.

In a series of articles, the editors have compiled a reference work that examines the latest developments in logging data on behavioural disabilities as it occurs. Recent technological advances have made such developments possible.'