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Behavior and sequential Analyses provides a step-by-step approach to the principles and practices of direct observation and behaviour analysis research and evaluation procedures. Emphasis is on computer-facilitated methods designed to collect and analyze both the multiple characteristics of behaviour and events of interest and the time-based or sequential characteristics of behaviour and event relationships. Particularly designed for highly interactive applied settings, the methods and procedures outlined are presented in an introductory manner that should, nonetheless, still prove relevant to advanced students and seasoned researchers across the social and behavioural sciences and education. Behavior and sequential Analyses includes background and philosophy of applied behaviour analysis methodology, procedures for observation system construction and recommendations for handling reliability and treatment fidelity issues, a variety of data recording methods and research design types, graph preparation and visual and statistical discrete and sequential data analysis procedures, and an overview of recommended research, evaluation, and instructional applications for education, psychol
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.
In the observational study of social systems, the major conceptual innovation of the last century was General Systems Theory. Yet the General Systems Theory conceptions of interacting social systems were doomed to remain at the prescientific level of metaphor until a set of statistical techniques were developed and applied.
Intended for an advanced undergraduate and graduate students in the social sciences, the behavioral sciences, and education this textbook and reference guide outlines each step in computer-facilitated behavioral analysis research and evaluation. It provides guidance for the development and implementation of technologically supported multiple-event.
Mothers and infants exchanging gleeful vocalizations, married couples discussing their problems, children playing, birds courting and monkeys fighting have this in common: their interactions with others unfold over time. Almost anyone who is interested can observe and describe such phenomena. But usually scientists demand more. They want observations that are replicable and amenable to scientific analysis, while still faithful to the dynamics of the phenomena studied. This book provides a straightforward introduction to scientific methods for observing social behavior. Because of the importance of time in the dynamics of social interaction, sequential approaches to analyzing and understanding social behavior are emphasized. An advanced knowledge of statistical analysis is not required. Instead, the authors present fundamental concepts and offer practical advice.
Emphasizes digital means to record and code behavior; while observational methods do not require them, they work better with them.
Many research fields are heading toward more precise process analyses in the era of big data and artificial intelligence. In particular, using innovative methods to analyze different human behaviors as well as understand specific behavioral patterns helps explore the structures and contexts in all kinds of human behaviors, which can serve as theoretical innovation and strategies to solve human problems. This book collects the latest behavior analysis research in different disciplines, including some methods or analysis examples.
This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. Part I provides an introduction and historic overview of the field. Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. Part III focuses on development, validation, and concrete application of interaction coding schemes. Part IV presents relevant data analysis methods and statistics. Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups.
Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.