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With a focus on gaining an empirically derived understanding of the underlying psychological dimensions and processes behind people's experiences with technology, this book contributes to the debate of user experience (UX) within several disciplines, including HCI, design and marketing. It analyses UX dynamics at various time scales, and explores the very nature of time and meaning in the context of UX.
"Experience with Technology" uses personal construct theory (PCT) as a theoretical and methodological starting point to this project. Major case-studies are described that examine people's experiences with mobile media devices. The results show a group of super-ordinate constructs that, upon interaction, undergo a change in the way they vary and relate to each other, as well as the development of a high reliability UX-Scale.
The book concludes by proposing the ICE ("Interaction, " "Construction," and "Evaluation") model of UX that consolidates its findings into a workable framework of UX. The proposed framework will be of particular use to designers and practitioners, and forms an empirically grounded starting point for further research.
Acclaimed as a text and professional development tool, this user-friendly resource has now been revised and updated, and offers expanded coverage of collaborative action research (CAR) and participatory action research (PAR). Preservice and inservice educators get crucial step-by-step guidance for conducting classroom- and school-based studies to improve their instructional practices. Organized to mirror the full cycle of action research, the book provides balanced coverage of qualitative, quantitative, and mixed methods approaches. Vivid vignettes and examples illustrate research approaches for a range of teaching and learning situations, school subjects, and age groups (PreK-12). Readers learn how research approaches are driven by the research question, as well as how to develop data collection strategies; design and/or evaluate assessment tools; interpret, analyze, report, and implement study results; and design a new cycle of research that builds on the previous one. New to This Edition *In-depth descriptions of CAR and PAR--which enable groups of teachers to work together to solve problems in a classroom or school--plus examples of both throughout the book. *Expanded or new discussions (with examples) of such topics as how research approaches and methods are driven by the research question, how to assess different types of reliability and validity, the differences between analysis and interpretation, and how to use sequential cycles of research for continuous improvement and professional development. *Fully updated references and resources. Pedagogical Features *Both individual and group exercises and activities in every chapter. *New and updated checklists and guidelines that enable busy educators to self-assess the progress and quality of their studies. *Sample templates to assist in development of research instruments. *Example boxes illustrating the components of an action research report. *Summary tables highlighting key aspects of different research strategies. *Chapter summaries (now shorter for ease of use) and suggestions for further reading.
This authoritative handbook--now significantly revised with more than 50% new material--introduces practitioners and students to the state of the art in psychological interventions for managing pain. Leading experts review the most effective treatment approaches for enhancing patients' coping and self-efficacy and reducing pain-related disability, including cognitive-behavioral therapy, biofeedback, clinical hypnosis, group therapy, and more. Strategies for integrating psychosocial and medical treatments for specific populations are described, with chapters on back pain, headache, cancer, and other prevalent chronic pain disorders. Attention is given to customizing intervention for individual patients, maximizing treatment adherence, and preventing overuse of opioids and other medications. New to This Edition *Chapter on resilience, focusing on mindfulness- and acceptance-based approaches. *Chapters on managing pain with comorbid psychological disorders (posttraumatic stress disorder and substance use disorder). *Chapter on emerging uses of technology. *Even more practitioner friendly: every chapter concludes with bulleted "Clinical Highlights." *Many new authors; extensively revised with over 15 years of research and clinical advances.
Statistics is one of the most practical and essential courses that you will take, and a primary goal of this popular text is to make the task of learning statistics as simple as possible. Straightforward instruction, built-in learning aids, and real-world examples have made STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition the text selected most often by instructors for their students in the behavioral and social sciences. The authors provide a conceptual context that makes it easier to learn formulas and procedures, explaining why procedures were developed and when they should be used. This text will also instill the basic principles of objectivity and logic that are essential for science and valuable in everyday life, making it a useful reference long after you complete the course.
This book deals with the possibility of an ontological and epistemological account of the psychological category 'neurosis'. Intertwining thoughts from German idealism, Continental philosophy and psychology, the book shows how neurosis precedes and exists independently from human experience and lays the foundations for a non-essentialist, non-rational theory of neurosis; in cognition, in perception, in linguistics and in theories of object-relations and vitalism. The personal essays collected in this volume examine such issues as assimilation, the philosophy of neurosis, aneurysmal philosophy, and the connection between Hegel and Neurosis, among others. The volume establishes the connection between a now redundant psycho-analytic term and an extremely progressive discipline of Continental philosophy and Speculative realism.
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers' knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today's model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author's website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Crime statistics are everywhere, but how do you know when they're valid? If a newspaper report says "the rate of overall violent crime decreased by 0.9 percent," how can you tell where that statistic came from, what it measures, and how accurate it is? Is it worth repeating or sharing? Measuring Crime: Behind the Statistics gives you the tools to interpret and evaluate crime statistics' quality and usefulness. The book focuses on ways of thinking about crime statistics (no formulas!) and features Eight questions you should ask before quoting a statistic The two sources of information about homicide FBI statistics: what do they measure? How victimization surveys can reflect your experiences even though you were not asked to participate Special considerations when interpreting statistics about sexual assault and fraud Examples of experiments and studies on how to improve crime statistics Two online supplements containing additional details and links to data sources Whether you are a law enforcement professional, journalist, student, or interested citizen, Measuring Crime: Behind the Statistics will tell you how to read statistics as a statistician would. Sharon Lohr, the author of Sampling: Design and Analysis, has published widely about statistical methods for education, public policy, law, and crime. She has been recognized as Fellow of the American Statistical Association, elected member of the International Statistical Institute, and recipient of the Gertrude M. Cox Statistics Award and the Deming Lecturer Award. Formerly Dean's Distinguished Professor of Statistics at Arizona State University and a Vice President at Westat, she is now a freelance statistical consultant and writer. Visit her website at www.sharonlohr.com. "The book aims to achieve two goals: introduce statistical ideas to a general audience and provide an overview of US crime statistics. These are disparate topics, but in the way they are approached here, there is a strong synergy that reinforces both aspects. One the one hand, the reader's natural curiosity about crime (what is it, how are crime events classified and reported, how reliable are the numbers you see in the newspaper, etc.) will help him/her become interested in the statistical issues and learn these concepts in a practical and concrete setting. And on the other hand, by reading about the statistical issues surrounding crime data, he/she gains a better appreciation for the complexities of crime statistics, eventually acquiring a deeper understanding of them. As a statistician myself, I learned interesting facts about the types of crime, their nomenclature and the possible confusion surrounding them, and how the data are collected and reported. Overall, I think the combination is effective and very well developed in this book." (Jean Opsomer, Westat) "This book is an excellent primer on handling the mass of data and information researchers are faced with. While it is geared toward followers of criminal justice information, much of the book is a very good introduction to survey techniques discussing their strong and weak points. Most importantly, there are very good guidelines and questions that one should employ before citing any data or using data for policy decisions or for reporting on data such as journalists do. The book is written in a non-technical manner and does a very good job of explaining the nuances in reviewing data. Any researcher who utilizes data would find this valuable. While it has specific examples in the criminal justice field, it really is quite useful for any user of data." (Barry Nussbaum, former President American Statistical Association)
This book reviews several psychological perspectives of religiosity. It studies individual differences and health benefits of religiosity as well. Chapter One focuses on religious conversion and provides a review of psychological concepts related to religious conversion and defines religious conversion as a positive change in religious beliefs including significant changes in spiritual and personal life. Chapter Two examines whether the meaning of life can mediate the relationships between religiosity and hope. Chapter Three discusses the contribution of religiosity and spirituality to well-being. Chapter Four explores the associations between religiosity, subjective well-being, and psychopathology. Chapter Five describes two studies that explores whether the experience of loneliness is influenced by one's degree of religious observance. Chapter Six reviews research on whether religiosity is a protective factor for suicidal ideation and behavior. Chapter Seven studies spiritual tactics, sickness and depressed moods in older adults. Chapter Eight reviews often conflicting scientific literature dealing with spirituality and religiosity and eating disorder symptomatology in women. Finally, Chapter Nine discusses religion, spirituality and health in the Chinese context.
To become informed consumers of research, students need to thoughtfully evaluate the research they read rather than accept it without question. This second edition of a classic text gives students what they need to apply critical reasoning when reading behavioral science research. It updates the original text with recent developments in research methods, including a new chapter on meta-analyses. Part I gives a thorough overview of the steps in a research project. It focuses on how to assess whether the conclusions drawn in a behavioral science report are warranted by the methods used in the research. Topics include research hypotheses, sampling, experimental design, data analysis, interpretation of results, and ethics. Part II allows readers to practice critical thinking with a series of fictitious journal articles containing built-in flaws in method and interpretation. Clever and engaging, each article is accompanied by a commentary that points out the errors of procedure and logic that have been deliberately embedded in the article. This combination of instruction and practical application will promote active learning and critical thinking in students studying the behavioral sciences.
This continuing series presents original research results on the leading edge of psychology. Each article has been carefully selected in an attempt to present substantial results across a broad spectrum. This book reviews research on the parenting behaviour, parental influence, and adolescents' risk behaviour; estimating the effects of casinos and of lotteries on suicide; human brainwaves synchronisation; honours students; the biopsychology of SCZ; issues surrounding the assessment of developmental coordination disorder; and the real roles of corruption.
This book explains, with case examples, a variety of social science research methods suitable for studying the unconscious components of irrational social and political actions in world affairs, which can be defined as those that are intensely destructive, self-destructive, or extremely bizarre. The book argues that they are driven in part by feelings and fantasies that are outside of conscious awareness. Meyers explores the role of empathy in clinical understanding, as well as the value of exposing assertions to empirical disconfirmation. With a variety of research methods such as survey research, content analysis, and narrative analysis, and case examples such as studies of 'irreal' statements by authoritarian leaders, fabricated newspaper articles and climate change denial, this book sheds light on how to conduct research on psychodynamic matters in a scientifically valid and credible way.
Methods in Psychological Research introduces students to the rich world of research in psychology through student-friendly writing, compelling real-world examples, and frequent opportunities for practice. Using a relaxed yet supportive tone that eases student anxiety, the authors present a mixture of conceptual and practical discussions, and spark reader interest in research by covering meaningful topics that resonate with today's students. In-text features like Conceptual Exercises, FYI sections, and FAQ sections with accompanying visual cues support learning throughout the research experience. The Fourth Edition equips students with the tools they need to understand research concepts, conduct their own experiments, and present their findings.
A hallmark of contemporary social psychology is the methodological inventiveness of its researchers. Social psychologists are relentless in their pursuit of novel methods with which to advance their understanding of social behavior. Indeed, some of the most important new methods of the past three decades have come out of social psychological laboratories, and the result is the rapid advance of the social psychological toolbox. This five-volume collection brings together a diverse assortment of the most important contributions in this area, combining methodology with substantive empiricism, and including papers that represent many of the most important methodological innovations to emerge from the past few decades of research. Compiled and introduced by a leading voice in the field, this major work has been created to serve as a far-reaching and conceptually broad resource for scholars worldwide. Volume One: Lab Methods for Studying Social Cognitive Processes Volume Two: Lab Methods for Studying Other Social-Psychological Processes Volume Three: Methods for Studying Social Psychological Processes in Naturalistic Settings Volume Four: Quantitative Tools and Applications: Classic Issues and Approaches Volume Five: Quantitative Tools and Applications: Contemporary Innovations
PsychoPy is an open-source (free) software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. It provides an intuitive graphical interface (the "Builder") as well as the option to insert Python code. This combination makes it easy enough for teaching, but also flexible enough for all manner of behavioural experiments. As a result, PsychoPy has become the software package of choice in psychology departments at universities all over the world. Divided into three parts and with unique learning features to guide readers at whatever level they are at, this textbook is suitable for teaching practical undergraduate classes on research methods, or as a reference text for the professional scientist. The book is written by Jonathan Peirce, the original creator of PsychoPy and Michael MacAskill who have utilised their breadth of experience in Python development to educate students and researchers in this intuitive, yet powerful, experiment generation package.
"Advances in Psychology Research" presents original research results on the leading edge of psychology research. Each article has been carefully selected in an attempt to present substantial psychology advances across a broad spectrum.
Glena Iten investigates the impact of interactive visual simulations on conceptual understanding of statistical principles. Overall, all students were able to increase their knowledge by working with visual simulations, whereas students who could manipulate statistical graphs in the simulation on their own were significantly faster. Currently, interactive learning tools explaining statistical concepts are widely spread, but only few are tested. Well-structured interactive learning programs with visual simulations have in the past been shown to be effective. By applying effective instructional design principles, an online tutorial where students could either manipulate or only observe changes in the visual simulations, was developed. Practical implications and opportunities for further investigations in this research project are discussed.
Comprehensive and comprehensible, this classic text covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and applying its use. This includes the theory as well as the empirical evaluations. The overall goal is to show readers how to use factor analysis in their substantive research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use. Although the original version was written years ago, the book maintains its relevance today by providing readers with a thorough understanding of the basic mathematical models so they can easily apply these models to their own research. Readers are presented with a very complete picture of the "inner workings" of these methods. The new Introduction highlights the remarkably few changes that the author would make if he were writing the book today. An ideal text for courses on factor analysis or as a supplement for multivariate analysis, structural equation modeling, or advanced quantitative techniques taught in psychology, education, and other social and behavioral sciences, researchers who use these techniques also appreciate this book's thorough review of the basic models. Prerequisites include a graduate level course on statistics and a basic understanding of algebra. Sections with an asterisk can be skipped entirely if preferred.
What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data-whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches-illustrated with real-world examples-emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: * Chapter-opening preview boxes that highlight useful topics addressed. * End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. * Annotated suggestions for further reading and technical resources on each topic. See also Vogt et al.'s When to Use What Research Design, which addresses the design and sampling decisions that occur prior to data collection.
Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems. The new edition features: Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. A new chapter (7) including an introduction to Cronbach's alpha and factor analysis. Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 . Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 . IBM SPSS for Introductory Statistics, Fifth Edition provides helpful teaching tools: All of the key IBM SPSS windows needed to perform the analyses. Complete outputs with call-out boxes to highlight key points. Flowcharts and tables to help select appropriate statistics and interpret effect sizes. Interpretation sections and questions help students better understand and interpret the output. Assignments organized the way students proceed when they conduct a research project. Examples of how to write about outputs and make tables in APA format. Helpful appendices on how to get started with SPSS and write research questions. An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis.
Synthesizing a vast body of empirical research and organizing it around a comprehensive conceptual model, this book is recognized as the definitive reference on adult attachment. The authors explain how what began as a theory of child development is now used to conceptualize and study nearly all aspects of social functioning across the lifespan, including mental representations of self and others, emotion regulation, personal goals and strivings, couple relationships, caregiving, sexuality, psychopathology, psychotherapy, and organizational behavior. The origins and measurement of individual differences in adult attachment are examined, as is the question of whether and how attachment patterns can change. New to This Edition: *Reflects major advances, including hundreds of new studies. *Clarifies and extends the authors' influential model of attachment-system functioning. *Cutting-edge content on genetics and on the neural and hormonal substrates of attachment. *Increased attention to the interplay among attachment and other behavioral systems, such as caregiving and sexuality. *Expanded discussion of attachment processes in counseling and psychotherapy. *Additional coverage of leadership, group dynamics, and religion.
Open Learning Units offer a very flexible approach to the teaching
of psychology. They are designed to be more than sufficient for the
purposes of A/S and A-Level psychology, and the applied emphasis
will appeal to various vocational courses such as those offered by
BTEC and also to mature students on Access courses.
This concise, easy-to-understand and highly visual book helps students to understand the principles behind the many statistical practices. This text helps students to build a mental map to enable them to work their way through tests and procedures with a better level of understanding (and ultimately feel more confident and get better grades). Statistical analysis will also be covered in the book in the same simple-to-follow way, without messy details or complicated formulae. However, this approach does not lead to simple understanding. Instead it allows students to really grasp how to use, and be creative with, statistics. Key features: A principles-based approach, helping students to apply and adapt their skills to a variety of situation Test out principles in practice on the companion website with statistics scenarios Carefully designed graphics to explain statistical principles Links to relevant sources / further reading for statistical packages, so the book can be used as a portal to/ springboard for further study. Developed in conjunction with students means this book answers the key challenges students face. Based on a BPS commended programme Supported by a wealth of online resources at www.sagepub.co.uk/statisticsforpsychology
Written by leading experts in language and cognition, this groundbreaking behaviour analysis textbook brings the study of verbal behaviour into the 21st century with cutting-edge research. Students and clinicians in the burgeoning field of applied behaviour analysis will find the theoretical foundation they need to effectively help the increasingly diverse clients seeking their services. The origins of behaviour analysis can be traced to the pioneering work of B.F. Skinner. Skinner's fundamental insights into how human behaviour is shaped, maintained and can be changed were powerful and far-reaching. Some of Skinner's most innovative contributions were in the study of language. Behaviour analytic work in the area of language and cognition did not stop with Skinner, however. Indeed, Skinner's work in this area has inspired considerable expansion, particularly with an eye toward more sophisticated verbal and cognitive repertoires. This important volume provides an overview of the concepts and core behavioural processes involved in language and cognition. You'll find a deeper exploration of complex linguistic and cognitive skills, including generative responding, learning by observation, and perspective taking. Also included are clinically supported interventions based in mindfulness, psychological flexibility, and emotion regulation to help clients improve complex language, social, and academic skills. The future of behaviour analysis is here. With its focus on the importance of language and cognition, this textbook is a must-read for anyone studying or practising in the science of behaviour.
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