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.

'... an important and captivating book, one that has been long awaited by all researchers interested in language and the brain.' Trends in Cognitive Sciences, 1999. The Neurocognition of Language brings together experts on human language and the brain to present the first critical overview of the cognitive neuroscience of language, one of the fastest-moving and most exciting areas today. In-depth discussion of the representations and structures of language, as well as of the cognitive architectures which underlie speaking, listening, and reading, will provide a basis for future brain imaging research. In addition, the existing brain imaging literature on word and sentence processing is critically reviewed, as well as contributions from brain lesion data. Finally, the book discusses the prospects and problems of brain imaging techniques for the study of language, presents some of the most recent and promising analytic procedures for relating brain imaging data to the higher cognitive functions, and contains a review of the neuroanatomical structure of Broca's language area. Uniquely interdisciplinary, this book will provide researchers and students in cognitive neuroscience with state-of-the-art reviews of the major language functions, while being of equal interest to researchers in linguistics and language who want to learn about the neural bases of language. It will be an essential purchase for anyone requiring an overview of our current understanding of the relation between language and the brain.

Dieses Lehrbuch ist eine Einfuhrung in die psychosoziale Beratung. Es vermittelt ein Verstandnis von Beratung als einer Handlungsdisziplin, die sich nicht mehr als Subdisziplin verschiedener Fachgebiete versteht, sondern als ein eigenstandiges, disziplinubergreifendes sowie wissenschaftlich fundiertes Denk- und Handlungskonzept. Dieses wird heute uber spezifische Studiengange an Hochschulen und Weiterbildungseinrichtungen vermittelt. - Als Lernende in diesen Einrichtungen erfahren Sie in dem Buch, wie sich Beratung vor dem Hintergrund etablierter Therapieschulen sowie lebensweltlicher und ressourcenorientierter Konzepte begrunden kann.

This useful guide educates students in the preparation of literature reviews for term projects, theses, and dissertations. The authors provide numerous examples from published reviews that illustrate the guidelines discussed throughout the book. New to the seventh edition: Each chapter breaks down the larger holistic review of literature exercise into a series of smaller, manageable steps Practical instructions for navigating today's digital libraries Comprehensive discussions about digital tools, including bibliographic and plagiarism detection software Chapter activities that reflect the book's updated content New model literature reviews Online resources designed to help instructors plan and teach their courses (www.routledge.com/9780415315746).

To generate coherent behaviour, the brain needs to attend selectively to the many objects that are present in the environment, but this poses several questions. How does the brain know which objects 'belong together'? How does the information from different senses get combined? How does this help to plan and carry out actions? The subject of attentional mechanisms has a long history in cognitive psychology, as it is the key to making sense of the visual world. However, new developments in cognitive neuroscience, and greater understanding of how attention and action are integrated, have transformed the field. This book is the first to bring together leading researchers to discuss the convergence of experimental findings in the following areas: Visual selective attention Attention and perceptual integration Spatial representation and attention Visual attention and action Control of attention Attention, Space, and Action provides a unique combination of perspectives that will appeal to students and researchers from psychology, neuropsychology, neurophysiology, and neuroanatomy.

This book explores a new approach to understanding the human mind - rational analysis - that regards thinking as a facility adapted to the structure of the world. This approach is most closely associated with the work of John R Anderson, who published the original book on rational analysis in 1990. Since then, a great deal of work has been carried out in a number of laboratories around the world, and the aim of this book is to bring this work together for the benefit of the general psychological audience. The book contains chapters by some of the world's leading researchers in memory, categorisation, reasoning, and search, who show how the power of rational analysis can be applied to the central question of how humans think. It will be of interest to students and researchers in cognitive psychology, cognitive science, and animal behaviour.

This book explores how an object relations--integrative perspective may combine in--depth psychodynamic principles and theories with the flexibility afforded by an integrative framework. Object relations theory is rooted in a psychoanalytic tradition which views individuals essentially social and holds that their need for others is primary. Integrative psychotherapy attempts to combine the theories and/or techniques of two or more therapeutic approaches. This volume is useful for graduates, undergraduates and trainee psychotherapists as well as social workers, psychologists, psychotherapists and counsellors who are interested in broadening their understanding of different therapeutic approaches and intefrative endeavours. The contributors consist of an international group of practitioners and theoreticians who draw on the knowlege of object realtions and other therapeutic orientations as well as innovations in the integrative movement. Some of te contributors grapple directly with integrative questions, while others examine ways of working with specific client groups or methods, where integrative ideas enrich their work.

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.

Implicit learning is said to occur when a person learns about a complex stimulus without necessarily intending to do so, and in such a way that the resulting knowledge is difficult to express. Over the last 30 years, a number of studies have claimed to show evidence of implicit learning. In more recent years, however, considerable debate has arisen over the extent to which cognitive tasks can in fact be learned implicitly. Much of the debate has centred on the questions of how unconscious, and how abstract, is implicitly acquired knowledge? The aim of this book is to provide students and researchers with a self-contained and balanced summary of the various theoretical and empirical positions that are currently shaping this exciting area of research.

See how interesting experimental and nonexperimental research can be with RESEARCH METHODS FOR THE BEHAVIORAL SCIENCES, 6th Edition. Inviting and conversational, the text leads you through the research process from start to finish -- using a step-by-step approach that emphasizes the decisions researchers make at each stage. Current research examples are selected to be of particular interest to students like you, and learning objectives help you focus on what's important. Chapter after chapter, the authors' "lecture in a book" style delivers clear explanations of topics that make this text easy to read and understand.

This new volume in the Counterpoints series compares and contrasts different conceptions of working memory, generally recognized as the human cognitive system responsible for temporary storage of information. The book includes proponents of several different views. Robert Logie discusses the theoretical and empirical utility of separating working memory into an articulatory loop, a phonological store, and a visuo-spatial sketchpad into visual and spatial subsystems. Patricia Carpenter provides evidence for a process view of working memory, arguing that both task-specific processing and general processing capabilities can account for the full range of working memory phenomena. She focuses on findings from reading comprehension and memory tasks suggesting that working memory is used to represent the set of skills and strategies necessary for complex tasks, while retaining residual capacity for use as a storage buffer. Lynn Hasher argues in favor of the new inhibitory model, with evidence drawn from the literature on aging and pathology that demonstrates parallels between memory disorders and normal memory functioning. Randall Engle addresses the issue of whether working memory resources are required for retrieval of information or whether that task is relatively automatic. Engle's empirical studies, in turn, bear directly on the positions of Carpenter, Hasher, and Logie. As interest in working memory is increasing at a rapid pace, an open discussion of the central issues involved is both useful and timely. This work serves this purpose for a wide audience of cognitive psychologists and their students.

Master the essential skills for designing and conducting a successful research project

Essentials of Research Design and Methodology contains practical information on how to design and conduct scientific research in the behavioral and social sciences. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable style.

The text offers students and practitioners in the behavioral sciences and related disciplines important insights into identifying research topics, variables, and methodological approaches. Data collection and assessment strategies, interpretation methods, and important ethical considerations also receive significant coverage in this user-friendly guide. Essentials of Research Design and Methodology is the only available resource to condense the wide-ranging topics of the field into a concise, accessible format for handy and quick reference.

As part of the Essentials of Behavioral Science series, this book offers a thorough review of the most relevant topics in research design and methodology. Each concise chapter features numerous callout boxes highlighting key concepts, bulleted points, and extensive illustrative material, as well as "Test Yourself" questions that help you gauge and reinforce your grasp of the information covered.

This book combines the latest in sociology, psychology, and biology to present evidence-based research on what works in community and institutional corrections. It spans from the theoretical underpinning of correctional counseling to concrete examples and tools necessary for professionals in the field. This book equips readers with the ability to understand what we should do, why we should do it, and tools for how to do it in the field. It discusses interviewing, interrogating, and theories of directive and nondirective counseling, including group counseling. It discusses the strengths and weaknesses of various correctional approaches such as cognitive-behavioral therapies, group counseling, and therapeutic communities. It introduces ethical and legal considerations for correctional professionals. With an explanation of the presentence investigation report, case management, and appendices containing a variety of classification and assessment instruments, this volume provides practical, hands-on experience. Students of criminal justice, psychology and social work will gain an understanding of the unique challenges to correctional success and practical applications of their studies. "This book is a teacher/student/practitioner's dream. Grounded in theory and evidence-based research on best practices, it is accessible, well-written, filled with sound insights and tools for working with criminal justice clients. I have used and loved each new edition of this fine text." - Dorothy S. McClellan, Texas A&M University-Corpus Christi

Human-Computer Interaction draws on the fields of computer science, psychology, cognitive science, and organisational and social sciences in order to understand how people use and experience interactive technology. Until now, researchers have been forced to return to the individual subjects to learn about research methods and how to adapt them to the particular challenges of HCI. This is the first book to provide a single resource through which a range of commonly used research methods in HCI are introduced. Chapters are authored by internationally leading HCI researchers who use examples from their own work to illustrate how the methods apply in an HCI context. Each chapter also contains key references to help researchers find out more about each method as it has been used in HCI. Topics covered include experimental design, use of eyetracking, qualitative research methods, cognitive modelling, how to develop new methodologies and writing up your research.

This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis depends in an integrated fashion on sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. The unifying theme is that supervised learning properly can be seen as a form of regression analysis. Key concepts and procedures are illustrated with a large number of real applications and their associated code in R, with an eye toward practical implications. The growing integration of computer science and statistics is well represented including the occasional, but salient, tensions that result. Throughout, there are links to the big picture. The third edition considers significant advances in recent years, among which are: the development of overarching, conceptual frameworks for statistical learning; the impact of "big data" on statistical learning; the nature and consequences of post-model selection statistical inference; deep learning in various forms; the special challenges to statistical inference posed by statistical learning; the fundamental connections between data collection and data analysis; interdisciplinary ethical and political issues surrounding the application of algorithmic methods in a wide variety of fields, each linked to concerns about transparency, fairness, and accuracy. This edition features new sections on accuracy, transparency, and fairness, as well as a new chapter on deep learning. Precursors to deep learning get an expanded treatment. The connections between fitting and forecasting are considered in greater depth. Discussion of the estimation targets for algorithmic methods is revised and expanded throughout to reflect the latest research. Resampling procedures are emphasized. The material is written for upper undergraduate and graduate students in the social, psychological and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems.

Written by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students' confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential reading for undergraduate psychology students taking courses in research methods and statistics. New to this Edition: - Chapters on Bayesian analysis, mixed-effects models, and multiple regression analysis - Coverage of jamovi and JASP, two free statistical packages

This book is a step-by-step guide for instructors on how to teach a psychology research methods course at the undergraduate or graduate level. It provides various approaches for teaching the course including lecture topics, difficult concepts for students, sample labs, test questions, syllabus guides and policies, as well as a detailed description of the requirements for the final experimental paper. This book is also supplemented with anecdotes from the author's years of experience teaching research methods classes. Chapters in this book include information on how to deliver more effective lectures, issues you may encounter with students, examples of weekly labs, tips for teaching research methods online, and much more. This book is targeted towards the undergraduate or graduate professor who has either not yet taught research methods or who wants to improve his or her course. Using step by step directions, any teacher will be able to follow the guidelines found in this book that will help them succeed.How to Teach a Course in Research Methods for Psychology Students is a valuable resource for anyone teaching a quantitative research methods course at the college or university level.

Comprehensive, systematic, and balanced, Systems of Psychotherapy uses a wealth of clinical cases to help readers understand a wide variety of psychotherapies - including psychodynamic, existential, experiential, interpersonal, exposure, behavioral, cognitive, third wave, systemic, multicultural, and integrative. The ninth edition of this landmark text thoroughly analyzes 15 leading systems of psychotherapy and briefly surveys another 32, providing students and practitioners with a broad overview of the discipline. The book explores each system's theory of personality, theory of psychopathology, and resulting therapeutic process and therapy relationship. Through these explorations the authors clearly demonstrate how psychotherapy systems agree on the processes producing change while diverging on the elements in need of change. Additionally, the authors present cogent criticisms of each approach from cognitive-behavioral, psychoanalytic, humanistic, cultural, and integrative perspectives. This ninth edition features updated meta-analytic reviews of the effectiveness of each system, new sections on Lacanian analysis, mentalization therapy, and psychotherapy with gender nonconforming people, as well as new sections and updates throughout the text.

This book presents the reader with a set of diverse, carefully developed and clearly specified systems of transcription and coding, arising from contrasting theoretical perspectives, and presented as alternative choices, situated within the theoretical domain most natural to each. The perspectives represented include first and second language acquisition, interethnic and crosscultural interaction, information structure, and the study of discourse influences on linguistic expression. In the contributed chapters, the designers of these systems provide a distillation of collective experiences from the past quarter century, telling in their own words their perspectives on language processes, how these perspectives have shaped their choice of methodology in transcription and coding of natural language, and describing their systems in detail. Overview chapters by the editors then provide design principles and guidelines concerning issues pertinent to all systems, including such things as reliability, validity, ease of learning, computational tractability, and robustness against error. The final chapter is a compendium of existing computerized archives of language data and information sources together with details concerning data access and use.

The topics discussed in this volume have been chosen to represent studies in which both behavioural and neurobiological analysis have been emphasized. They include work on behavioural and neural aspects of imprinting, song learning in birds, and spatial memory of food-storing birds. There are also overviews of neural and behavioural aspects of classical conditioning, the role of the hippocampus in spatial behaviour in mammals, and studies of learning in invertebrate model systems. Each contribution has been written by a leading international authority and gives an up-to-date and concise account of current developments. The volume is based on a Royal Society Discussion Meeting held in February 1990 and the papers are being published in the Society's Philosophical Transactions Series B.

This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master's and PhD students with a sound basic knowledge of statistics.

This book shows the capabilities of Microsoft Excel in teaching social science statistics effectively. Similar to the previously published Excel 2016 for Social Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn't your strongest suit, you are not especially mathematically inclined, or you are wary of computers, this is the right book for you.Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in social science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Social Science Statistics: A Guide to Solving Practical Problems capitalizes on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social science problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full practice test (with answers in an appendix) that allows readers to test what they have learned.

Although qualitative approaches to psychological research have a long history in the discipline, they have also been, and remain, marginalized from the canon of mainstream scientific psychology. At the current moment, however, there is growing recognition of the importance of qualitative methods and a movement toward a more inclusive and eclectic stance on psychological research. This volume reflects upon the historical and contemporary place of qualitative methods in psychology and considers future possibilities for further integration of these methods in the discipline. Scholars representing a wide-range of perspectives in qualitative and theoretical psychology reflect on the historical and contemporary positions of qualitative methods in psychology with an eye to the future of research and theory in the discipline. This book encourages a more critical and inclusive stance on research, recognizing both the limits and contributions that different methodological approaches can make to the project of psychological knowledge.

This is the first book devoted to the use of social media and other internet-derived data in forming forensic clinical opinions of behavior. Designed for mental health practitioners, it outlines the challenges and the benefits of incorporating digital information in forensic assessments. It offers best practice guidelines geared to both criminal and civil psycho-legal questions. Each chapter includes a brief overview of the psycho-legal issues, clinical applications of consulting internet-based data, ethical and legal considerations and real life, de-identified case examples. This book provides guidance to the clinician in an emerging technological environment in which there are few resources, and ensures a more scientific and legally sound practice.

Synthesizing many years' investigation into sexual identity and orientation, this book presents Dr Money's formulation of how sexual preference is determined. It includes a review of long-term follow-up studies on pre-natal influences on sexual identity, and discusses gender differentiation in childhood. The book concludes with an examination of the conflict between gender and sexual identities, and a description of the paraphilias.

Researchers, clinicians, and graduate students in psychology, biology, endocrinology, psychiatry, and family studies will find this volume of interest, as will anyone interested in gay and lesbian issues.