Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book's program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: *Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. *More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. *A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. *A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. *Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

This volume collects recent studies conducted within the area of medical education that investigate two of the critical components of problem-based curricula--the group meeting and self-directed learning--and demonstrates that understanding these complex phenomena is critical to the operation of this innovative curriculum. It is the editors' contention that it is these components of problem-based learning that connect the initiating "problem" with the process of effective "learning." Revealing how this occurs is the task taken on by researchers contributing to this volume. The studies include use of self-reports, interviews, observations, verbal protocols, and micro-analysis to find ways into the psychological processes and sociological contexts that constitute the world of problem-based learning.

Introducing Research and Data in Psychology shows how research design and data analysis are attainable and useful skills. It introduces both experimental and non-experimental methods of research and the analysis of data using both descriptive and inferential statistics. The uses, interpretation and calculation of common two sample statistical tests are explained. This comprehensive textbook includes the following designed features to help with technique:

• Practice exam answers to show how to achieve a higher grade
• Chapter summaries
• Glossary
• Case studies and examples
• Exercises and a full bibliography.

This book embeds a novel evolutionary analysis of human group selection within a comprehensive overview of multilevel selection theory, a theory wherein evolution proceeds at the level of individual organisms and collectives, such as human families, tribes, states, and empires. Where previous works on the topic have variously supported multilevel selection with logic, theory, experimental data, or via review of the zoological literature; in this book the authors uniquely establish the validity of human group selection as a historical evolutionary process within a multilevel selection framework. Select portions of the historical record are examined from a multilevel selectionist perspective, such that clashing civilizations, decline and fall, law, custom, war, genocide, ostracism, banishment, and the like are viewed with the end of understanding their implications for internal cohesion, external defense, and population demography. In doing so, its authors advance the potential for further interdisciplinary study in fostering, for instance, the convergence of history and biology. This work will provide fresh insights not only for evolutionists but also for researchers working across the social sciences and humanities.

This edited volume offers useful resources for researchers conducting fieldwork in various global conflict contexts, bringing together a range of international voices to relay important methodological challenges and opportunities from their experiences. The book provides an extensive account of how people do conflict research in difficult contexts, critically evaluating what it means to do research in the field and what the role of the researcher is in that context. Among the topics discussed: Conceptualizing the interpreter in field interviews in post-conflict settings Data collection with indigenous people Challenges to implementation of social psychological interventions Researching children and young people's identity and social attitudes Insider and outsider dynamics when doing research in difficult contexts Working with practitioners and local organizations Researching Peace, Conflict, and Power in the Field is a valuable guide for students and scholars interested in conflict research, social psychologists, and peace psychologists engaged in conflict-related fieldwork.

This book investigates how arts-based research methods can positively influence people's resilience and well-being, particularly in constraining environments. Using examples from arts-based research methods in different contexts and from across the globe, the book brings together a diverse range of perspectives to understand how both resilience and well-being can be supported in a world that is rarely stress free. Collectively they demonstrate how arts-based research methods can: provide agency through the foregrounding of participants' voices; afford transformational learning opportunities; create opportunities for relationship building; support creativity and new ways of thinking; generate aspirations and hope; encourage forms of communication that expose ideas, emotions and feelings that previously might not have been known or known how to be expressed; and enhance reflection and reflexivity. The authors explore how art-based practices, such as clowning, collage, dramatisation, drawing, painting, role-play and sculpting, can be used to support the resilience and well-being of individuals and groups across the lifespan, and theorize how arts-based research methods can positively contribute to participants' positive self-esteem, self-image and ability to cope with challenges and new circumstances. Academics, professional learning facilitators, higher education students, and anyone interested in resilience and well-being in the health and education sectors will find this an interesting and engaging text.

This book summarizes the latest research findings in the neurocircuitry of innate behaviors, covering major topics such as innate fear, aggression, feeding, reward, social interaction, parental care, spatial navigation, and sleep-wake regulation. For decades, humans have been fascinated by wild animals' instincts, like the annual two-thousand-mile migration of the monarch butterfly in North American, and the "imprint" behavior of newborn birds. Since these instincts are always displayed in stereotypical patterns in most individuals of a given species, the neural circuits processing such behaviors must be genetically hard-wired in the brain. Recently, with the development of modern techniques, including optogenetics, retrograde and anterograde virus tracing, and in vivo calcium imaging, researchers have been able to determine and dissect the specific neural circuits for many innate behaviors by selectively manipulating well-defined cell types in the brain. This book discusses recent advances in the investigation of the neural-circuit mechanisms underlying innate behaviors.

Experimental design is important enough to merit a book on its own, without statistics, that instead links methodology to a discussion of how psychologists can advance and reject theories about human behaviour. The objective of this book is to fulfil this role.; The first four chapters lay the foundations of design in experimental psychology. The first chapter justifies the prominent role given to methodology within the discipline, whilst chapters two and three describe between-subject and within-subject designs. Chapter four compares and contrasts the traditional experimental approach with that of the quasi-experimental, or correlational approach, concluding that the consequences of not recognizing the value of the latter approach can be far-reaching.; The following three chapters discuss practical issues involved in running experiments. The first of these offers a comprehensive guide to the student researcher who wants to construct a good questionnaire, including a discussion of reliability and validity issues. The next chapter considers the basic tools of psychological research, whilst both discussing the theoretical problem of how a sample from a population is chosen and offering useful hints on the practical issue of finding adequate populations from which to select participants. The next chapter considers ethical practice within psychological research, written in large part so that psychology students will be better able to anticipate ethical problems in their studies before they occur.; The final two chapters consider reporting and reading psychological papers. Chapter eight details what should and should not be included in a laboratory report. The contributors use their collective experience of marking numerous lab reports to highlight common errors and provide solutions. Finally, chapter nine describes the various elements of a journal article, including tips on how to get the best out of your journal reading.

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Experimental design is important enough to merit a book on its own, without statistics, that instead links methodology to a discussion of how psychologists can advance and reject theories about human behaviour. The objective of this book is to fulfil this role. The first four chapters lay the foundations of design in experimental psychology. The first chapter justifies the prominent role given to methodology within the discipline, whilst chapters two and three describe between-subject and within-subject designs. Chapter four compares and contrasts the traditional experimental approach with that of the quasi-experimental, or correlational approach, concluding that the consequences of not recognizing the value of the latter approach can be far-reaching. The following three chapters discuss practical issues involved in running experiments. The first of these offers a comprehensive guide to the student researcher who wants to construct a good questionnaire, including a discussion of reliability and validity issues. The next chapter considers the basic tools of psychological research, whilst both discussing the theoretical problem of how a sample from a population is chosen and offering useful hints on the practical issue of finding adequate populations from which to select participants. The next chapter considers ethical practice within psychological research, written in large part so that psychology students will be better able to anticipate ethical problems in their studies before they occur. The final two chapters consider reporting and reading psychological papers. Chapter eight details what should and should not be included in a laboratory report. The contributors use their collective experience of marking numerous lab reports to highlight common errors and provide solutions. Finally, chapter nine describes the various elements of a journal article, including tips on how to get the best out of your journal reading.

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This book explores and provides an overview of the Norwegian psychologist Jan Smedslund's life work on Psycho-logic. His contributions to science have been radical not only in challenging the empirical foundation of psychology, but also in seeking to develop a viable alternative. This book brings together various reflections on his key contributions from the 1960s to the present day. The volume features three chapters by Jan Smedslund, offering his updated views on psychological science and psychotherapy. It also features contributions from several scholars that critically evaluates his legacy. His seminal ideas are discussed, revised and expanded upon and the questions raised are put in relevant historical and interdisciplinary context. Respect for Thought is a valuable resource for psychological researchers, historians of psychology, cultural psychologists, critical psychologists, theoretical psychologists, clinical psychologists and psychotherapists, social scientists, philosophers of psychology, and philosophers of science.

Statistical Concepts-A First Course presents the first 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for first and lower-level statistics courses, this book communicates a conceptual, intuitive understanding of statistics that does not assume extensive or recent training in mathematics and only requires a rudimentary knowledge of algebra. Covering the most basic statistical concepts, this book is designed to help readers really understand statistical concepts, in what situations they can be applied, and how to apply them to data. Specifically, the text covers basic descriptive statistics, including ways of representing data graphically, statistical measures that describe a set of data, the normal distribution and other types of standard scores, and an introduction to probability and sampling. The remainder of the text covers various inferential tests, including those involving tests of means (e.g., t tests), proportions, variances, and correlations. Providing accessible and comprehensive coverage of topics suitable for an undergraduate or graduate course in statistics, this book is an invaluable resource for students undertaking an introductory course in statistics in any number of social science and behavioral science disciplines.

This book is not available as a print inspection copy. To download an E-inspection copy click here or for more information contact your local sales representative. Taking you through each aspect of the research process and explaining the unique challenges of using qualitative methods in psychology, this book offers a complete guide to successfully conducting a qualitative psychological research project. Clear, concise and accessible, this 'how to' manual folds key skills like research design and using technology and software into each chapter. This second edition offers: - A thorough introduction to foundational concepts that support you through each step of the research process - New chapters on thematic and narrative analysis - A set of digital resources designed to make learning about qualitative methods as easy and interactive as possible, including video recordings and transcripts to build key analysis techniques Through a pragmatic, practical lens, this book provides the perspective and the tools you need to recognize, collect, interpret, and communicate quality qualitative psychological data. Michael A. Forrester is a Senior Lecturer in Psychology at the University of Kent, Canterbury. Cath Sullivan is a Senior Lecturer in the School of Psychology at the University of Central Lancashire.

Provides researchers with a reproducible research workflow for using R/RStudio to make the entire researchprocess reproducible; from data gathering, to analysis, to presentation Includes instructions not only for creating reproducible research in R, but also extensively discusses how to take advantage of recent developments in RStudio. Emphasizes the presentation of reproducible research with non-print formats such as HTML5 slideshows, blogs, and other web-based content. Covers a range of techniques to organize and remotely store files at all stages of the research process. These techniques both streamline the research process, especially by making revisions easier, and enhance The book itself will be reproducible, as all of the data, analysis, and markup files will be made available online.

This comprehensive guide offers a rich introduction to research methods, experimental design and data analysis techniques in developmental science, emphasizing the importance of an understanding of this area of psychology for any student or researcher interested in examining development across the lifespan. The expert contributors enhance the reader's knowledge base, understanding of methods, and critical thinking skills in their area of study. They cover development from the prenatal period to adolescence and old age, and explore key topics including the history of developmental research, ethics, animal models, physiological measures, eye-tracking, and computational and robotics models. They accessibly explore research measures and design in topics including gender identity development, the influence of neighborhoods, mother-infant attachment relationships, peer relationships in childhood, prosocial and moral development patterns, developmental psychopathology and social policy, and the examination of memory across the lifespan. Each chapter ends with a summary of innovations in the field over the last ten years, giving students and interested researchers a thorough overview of the field and an idea of what more is to come. Conducting Research in Developmental Psychology is essential reading for upper-level undergraduate or graduate students seeking to understand a new area of developmental science, developmental psychology, and human development. It will also be of interest to junior researchers who would like to enhance their knowledge base in a particular area of developmental science, human development, education, biomedical science, or nursing.

Plenty of literature review and applications of various tests provided to cover all the aspects of research methodology Various examination questions have been provided Strong Pedagogy along with regular features such as Concept Checks, Text Overviews, Key Terms, Review Questions, Exercises and References Though the book is primarily addressed to students,it will be equally useful to Researchers and Entrepreneurs More than other research textbooks, this book addresses the students' need to comprehend all aspects of the research process which includes Research process, clarification of the research problem, Ethical issues, Survey research, Research report preparation and presentation.

This groundbreaking edited book, The Routledge Handbook for Advancing Integration in Mixed Methods Research, presents an array of different integration ideas, with contributions from scholars across the globe. This handbook represents the first major volume that comprehensively discusses this topic of integration. Perhaps the most fundamental and longstanding question in mixed methods research is: How does one best integrate disparate forms of information to produce the best form of inquiry? Each of the 34 seminal chapters in this handbook accelerates the discussion of integration across a broad range of disciplines, including education, arts-based analyses, and work in the Global South, as well as special topics such as psychometrics and media research. Many of the chapters present new topics that have never been written about before, and all chapters offer cutting-edge approaches to integration. They also offer different perspectives of integration - leading the introductory chapter to offer a new and comprehensive definition for integration, as follows: "referring to the optimal mixing, combining, blending, amalgamating, incorporating, joining, linking, merging, consolidating, or unifying of research approaches, methodologies, philosophies, methods, techniques, concepts, language, modes, disciplines, fields, and/or teams within a single study." The concluding chapter offers a meta-framework that accounts for this definition and is designed to help scholars think more about integration in a way that represents a continuous, dynamic, iterative, interactive, synergistic, and holistic meaning-making process. This handbook will be an essential reference work for all scholars and practitioners using or seeking to use mixed methods in their research.

This groundbreaking edited book, The Routledge Handbook for Advancing Integration in Mixed Methods Research, presents an array of different integration ideas, with contributions from scholars across the globe. This handbook represents the first major volume that comprehensively discusses this topic of integration. Perhaps the most fundamental and longstanding question in mixed methods research is: How does one best integrate disparate forms of information to produce the best form of inquiry? Each of the 34 seminal chapters in this handbook accelerates the discussion of integration across a broad range of disciplines, including education, arts-based analyses, and work in the Global South, as well as special topics such as psychometrics and media research. Many of the chapters present new topics that have never been written about before, and all chapters offer cutting-edge approaches to integration. They also offer different perspectives of integration - leading the introductory chapter to offer a new and comprehensive definition for integration, as follows: "referring to the optimal mixing, combining, blending, amalgamating, incorporating, joining, linking, merging, consolidating, or unifying of research approaches, methodologies, philosophies, methods, techniques, concepts, language, modes, disciplines, fields, and/or teams within a single study." The concluding chapter offers a meta-framework that accounts for this definition and is designed to help scholars think more about integration in a way that represents a continuous, dynamic, iterative, interactive, synergistic, and holistic meaning-making process. This handbook will be an essential reference work for all scholars and practitioners using or seeking to use mixed methods in their research.

To reflect the importance of supervision and to widen understanding of its many facets, "The Third Eye" brings together contributions from some of the most experienced practitioners of group analysis with the reactions of those they have supervised. The contributors look at questions such as dual supervision, evaluation, block training at home and abroad, training of supervisors and ethical issues. They also give practical advice about maintaining group data, trainee presentations and appraisal techniques. The book concludes with a full reference bibliography of the main articles and books on supervision of group psychotherapy.
This book provides a panoramic exposition by seasoned practitioners of one of the more important but least documented skills demanded in group analysis. However the material extends in relevance beyond its field of origin and will be of significant interest to a wide readership of those concerned with the training, assessment and development of others working with or having responsibility for groups.

Item response theory (IRT) is widely used in education and psychology and is expanding its applications to other social science areas, medical research, and business as well. Using R for Item Response Theory Model Applications is a practical guide for students, instructors, practitioners, and applied researchers who want to learn how to properly use R IRT packages to perform IRT model calibrations with their own data. This book provides practical line-by-line descriptions of how to use R IRT packages for various IRT models. The scope and coverage of the modeling in the book covers almost all models used in practice and in popular research, including: dichotomous response modeling polytomous response modeling mixed format data modeling concurrent multiple group modeling fixed item parameter calibration modelling with latent regression to include person-level covariate(s) simple structure, or between-item, multidimensional modeling cross-loading, or within-item, multidimensional modeling high-dimensional modeling bifactor modeling testlet modeling two-tier modeling For beginners, this book provides a straightforward guide to learn how to use R for IRT applications. For more intermediate learners of IRT or users of R, this book will serve as a great time-saving tool for learning how to create the proper syntax, fit the various models, evaluate the models, and interpret the output using popular R IRT packages.

This book represents a social psychological approach to the study of emotion. The contributors present empirical data using the 'time sampling' or 'experience sampling' technique developed by Brandstätter. This technique allows researchers to gain direct access to the phenomenological experiences of subjects without the distorting effects of recall. Populations studied include bank employees, factory workers, housewives, and the unemployed.

The Psychological Dieter explores a variety of research topics in psychology to explain how diet is acquired and why it is so difficult to change. While many healthier diets on the market will work, few (if any) will provide long-term solutions to healthier dieting. This is a key challenge for research psychologists who study diet and health. Based on scientific research and thinking, this book is one of the first to explore how psychology can help explain why shifting diet is so difficult and provides practical suggestions for what can be done to stop this trend. Professor Privitera integrates research from the biological to the behavioral to provide an easy to follow and broad review of these topics. The Psychological Dieter explores how factors such as metabolism, the brain, sensation, perception, learning, society, and culture all influence weight gain, food choice, meal size, and consumption. Organized into three sections, this book describes how the body regulates hunger and fullness, why diet change is so difficult long-term, and how learning can affect almost any sensation and behavior associated with diet. Rooted in scientific research and clearly written, this book's engaging style makes topics in psychology accessible to scientists, health professionals, and everyday dieters alike.

This book explores discursive psychological empirical research in the context of political communication. Drawing together a well-established field of study and a variety of discursive psychology approaches the authors confront the theoretical and practical challenges that discursive psychology and political communication studies face today. Using a diverse range of approaches, including the analysis of TV shows, cartoons, social media groups and blogs, face-to-face verbal interaction, political rhetoric and mainstream news reports, the authors explain the ways in which discursive psychology can offer insight into the nature of contemporary political communications. The book offers timely and international reflections on the context of online political communication, Brexit rhetoric, prejudice discourse and political persuasion, showcasing the analytical acumen and empirical insight that can be gleaned from discursive psychology methods. Political Communication: Discursive Perspectives highlights the value of contributions from outside English speaking academia and is essential reading for academics, researchers and students interested in political communication or discursive psychology.

utilizes the Consolidated Serial Homicide Offender Database, one of the largest and most robust open access databases of multiple murders available illustrated with in-depth case studies of SHOs, such as Felix Vail, Michael Sumpter, the Seminole Heights Killer, and the Austin Bomber provides commentary from those who have used these patterning methods in practice, in addition to laying out how to put the current suite of data tools to use within organizations

Outline of Theoretical Psychology discusses basic philosophical problems in the discipline and profession of psychology. The author addresses such topics as what it means to be human in psychology; how psychological knowledge is possible and what it consists of; the role of social justice in psychology; and how aesthetic experience could help us to understand the human condition. Proposing possible solutions to a range of such issues, Thomas Teo situates theoretical questions within traditional branches of philosophical inquiry: ontology, epistemology, ethics, and aesthetics. This book argues that in order to improve psychology as a discipline and in practice, psychologists must reconceive the unit of psychological analysis, looking beyond individual capacity and even experience. By engaging with these basic philosophical problems, Teo demonstrates how psychology can avoid its common pitfalls and continue as a force for resistance and the good.

Interpreting Statistics for Beginners teaches readers to correctly read and interpret results of basic statistical procedures as they are presented in scientific literature, and to understand what they can and cannot infer from such results.

The first of its kind, this book explains key elements of scientific paradigms and philosophical concepts that the use of statistics is based on and introduces readers to basic statistical concepts, descriptive statistics and basic elements and procedures of inferential statistics. Explanations are accompanied with detailed examples from scientific publications to demonstrate how the procedures are used and correctly interpreted. Additionally, Interpreting Statistics for Beginners shows readers how to recognize pseudoscientific claims that use statistics or statements not based on the presented data, which is an important skill for every professional relying on statistics in their work.

Written in an easy-to-read style and focusing on explaining concepts behind statistical calculations, the book is most helpful for readers with no previous training in statistics, and also those wishing to bridge the conceptual gap between doing the statistical calculations and interpreting the results.