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Emphasizes digital means to record and code behavior; while observational methods do not require them, they work better with them.
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.
Volume I of the handbook presents contemporary, multidisciplinary, historical, theoretical, and methodological aspects of how body movements relate to language. It documents how leading scholars from differenct disciplinary backgrounds conceptualize and analyze this complex relationship. Five chapters and a total of 72 articles, present current and past approaches, including multidisciplinary methods of analysis. The chapters cover: I. How the body relates to language and communication: Outlining the subject matter, II. Perspectives from different disciplines, III. Historical dimensions, IV. Contemporary approaches, V. Methods. Authors include: Michael Arbib, Janet Bavelas, Marino Bonaiuto, Paul Bouissac, Judee Burgoon, Martha Davis, Susan Duncan, Konrad Ehlich, Nick Enfield, Pierre Feyereisen, Raymond W. Gibbs, Susan Goldin-Meadow, Uri Hadar, Adam Kendon, Antja Kennedy, David McNeill, Lorenza Mondada, Fernando Poyatos, Klaus Scherer, Margret Selting, Jürgen Streeck, Sherman Wilcox, Jeffrey Wollock, Jordan Zlatev.
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.
Analyzing Interaction provides the practical underpinning and tools to carry out the sorts of sequential analyses essential to social psychology.
FUNDAMENTAL STATISTICS FOR THE BEHAVIORAL SCIENCES focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides students with an understanding of the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed by an experiment. Written in an informal style, the text provides an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Marital Interaction: Experimental Investigations deals with experimental studies on marital interaction. Emphasis is on the importance of the role of description in the study of social interaction. Methods for the analysis of pattern and sequence, including cross-spectral time-series analysis, are also presented. Comprised of 15 chapters, this book begins with a historical review of several research traditions that have concerned themselves with families and marriages: the sociological tradition; the family therapy or systems tradition; the social learning tradition; and the developmental tradition. Research that points to the potential importance of the observation of consensual decision-making processes is also reviewed. A model of marital interaction called the Structural Model, which can be used to predict changes in marital satisfaction, is described. Subsequent chapters focus on the Couples Interaction Scoring System, an observational system for categorizing marital interaction; modern concepts of the assessment of reliability, particularly the stringent assessment that is necessary for sequential analysis; differences between well-functioning and poorly functioning marriages; couples' interactional styles in terms of communication skill deficits; and the concept of an individual's social competence. This monograph will be of interest to psychologists engaged in research on marriage, as well as sociologists and clinical researchers.
Mixed methods research techniques, combining both quantitative and qualitative elements, have become well established throughout the social, behavioural and natural sciences. This is the first book to focus on the application of mixed methods research in the movement sciences, specifically in sport, physical education and dance. Researchers and practitioners in each of these fields are concerned with the study of habitual behaviour in naturalistic contexts, and of the concurrent and sequential nature of events and states, precisely the kind of work that multi-method research design can help illuminate. The book is arranged into four sections. The first provides a thorough overview of mixed methods procedures and research design, and summarizes their applicability to the movement sciences. The remaining sections then offer detailed case studies of mixed methods research in team and individual sports (analyzing hidden patterns of play and optimising technique); kinesics and dance (analyzing motor skills behaviour in childhood, and the complexity of motor responses in dance); and physical education (detecting interaction patterns in group situations, and optimizing non-verbal communication by teachers and sports coaches). Mixed Methods Research in the Movement Sciences offers an important new tool for researchers and helps to close the gap between the analysis of expert performance and our understanding of the general principles of movement science. It is important reading for any student, researcher or professional with an interest in motor control, sport and dance pedagogy, coaching, performance analysis or decision-making in sport.
Fully updated to reflect the latest developments, the third editionof Research Methods In Clinical Psychology offers acomprehensive introduction to the various methods, approaches, andstrategies for conducting research in the clinical psychologyfield. Represents the most accessible, user-friendly introduction toconducting and evaluating research for clinical psychologists andrelated professionals Ideal for students and practitioners who wish to conduct theirown research or gain a better understanding of publishedresearch Addresses important issues such as philosophical underpinningsof various methodologies, along with socio-political issues thatarise in clinical and community settings Step-by-step guidance through all phases of a clinicalpsychology research project—from initial concept andgroundwork, through to measurement, design, analysis, andinterpretation Updates to this edition include new or expanded coverage ofsuch topics as systematic review and literature searchingmethods, modern psychometric methods, guidance on choosing betweendifferent qualitative approaches, and conducting psychologicalresearch via the Internet
How can we make sense of make sense of the deluge of information in the digital age? The new science of Quantitative Ethnography dissolves the boundaries between quantitative and qualitative research to give researchers tools for studying the human side of big data: to understand not just what data says, but what it tells us about the people who created it. Thoughtful, literate, and humane, Quantitative Ethnography integrates data-mining, discourse analysis, psychology, statistics, and ethnography into a brand-new science for understanding what people do and why they do it. Packed with anecdotes, stories, and clear explanations of complex ideas, Quantitative Ethnography is an engaging introduction to research methods for students, an introduction to data science for qualitative researchers, and an introduction to the humanities for statisticians--but also a compelling philosophical and intellectual journey for anyone who wants to understand learning, culture and behavior in the age of big data.