Psychological methodology Books

Book SynopsisA practical, creative guidebook to achieving the results you want using Neuro Linguistinc Programming techniquesNeuro-Linguistic Programming is based on the idea that the human mind is a sort of computer our verbal and body language are the programmes which allow us to change our own thoughts and influence other people e.g. using body language and speech patterns to create instant rapport with someone else.We already use such techniques on a sub-conscious level NLP simply helps us crystalise what we already know. This work book is a basic, at-home NLP course, providing easy-to-follow exercises and reflections to which the reader can return time and again. It addresses topics such as How to Change Emotional State, the Power of Language and Getting Results, and can be applied to all kinds of different areas e.g. business, sport, health.The NLP workbook is designed to be a basic manual for the beginner in NLP, and also a clear and easy reference manual for practioners and trainers.

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Book SynopsisFrom a pioneering researcher, this book synthesizes the best current knowledge on resilience in children and adolescents. Ann S. Masten explores what allows certain individuals to thrive and adapt despite adverse circumstances, such as poverty, chronic family problems, or exposure to trauma. Coverage encompasses the neurobiology of resilience as well as the role of major contexts of development: families, schools, and culture. Identifying key protective factors in early childhood and beyond, Masten provides a cogent framework for designing programs to promote resilience. Complex concepts are carefully defined and illustrated with real-world examples.Trade Review"Nobody understands resilience as well as Ann Masten, and nobody writes about it as clearly, wisely, and deeply as she does. Dr. Masten is both a creator of new knowledge and a compelling narrator of the science and interventions that address how children manage to thrive in spite of adverse conditions. This indispensable book conveys the many facets of resilience, from neurobiology to cultural context to the importance of supportive relationships. Accessibly written, it makes complex concepts and processes easy to understand and impossible to forget. The book can be used as a text for undergraduate and graduate courses on typical development and developmental psychopathology, as well as in seminars for clinical interns and postdoctoral fellows."--Alicia F. Lieberman, PhD, Irving B. Harris Endowed Chair in Infant Mental Health and Professor, Department of Psychiatry, University of California, San Francisco "I consider Masten to be the preeminent thinker on resilience--and one of psychology's very best writers. Few authors possess the theoretical, empirical, clinical, and translational prevention skills to write such an integrative, well-presented volume. Masten makes a critical contribution to understanding the multiple pathways toward resilient outcomes for individuals who have experienced significant adversity. She does an amazing job of integrating literature from a variety of disciplines and levels of analysis. This is by far the best book I have ever read on resilience, and will set the standard for a long time to come."--Dante Cicchetti, PhD, McKnight Presidential Chair of Child Psychology and Psychiatry, Institute of Child Development, University of Minnesota "Resilience is an invaluable concept for our turbulent times. Masten, a highly esteemed developmental psychologist, has been at the forefront of resilience theory and research for decades. In this beautifully crafted volume, she guides readers through the advances in our knowledge of the multilevel processes--the interactions of neurobiological, psychological, family, and sociocultural influences over time--that enable children and adults to survive and grow stronger from serious life challenges. Essential reading for scholars, students, and mental health professionals who strive to understand and promote positive adaptation in traumatic situations and multistress contexts."--Froma Walsh, MSW, PhD, Mose and Sylvia Firestone Professor Emerita, School of Social Service Administration and Department of Psychiatry, University of Chicago, and Codirector, Chicago Center for Family Health “Ordinary Magic is an extraordinary achievement. Ann Masten has succeeded in integrating, synthesizing, and extending 40 years of resilience research into a compelling and highly readable volume. The book is audacious in scope, with Masten moving easily from genes to culture writ large. It is a ‘must read’ for a broad audience, including mental health practitioners, senior scholars, educators, and students.”--Deborah Lowe Vandell, PhD, Founding Dean, School of Education, University of California, Irvine -Table of ContentsI. Introduction and Conceptual Overview1. Introduction2. Models of ResilienceII. Studies of Individual Resilience3. Resilience in a Community Sample: The Project Competence Longitudinal Study4. Overcoming Disadvantage and Economic Crisis: Homeless Children5. Mass Trauma and Extreme Adversities: Resilience in War, Terrorism, and DisasterIII. Adaptive Systems in Resilience6. The Short List and Implicated Protective Systems7. The Neurobiology of Resilience8. Resilience in the Context of Families9. Resilience in the Context of Schools10. Resilience in the Context of CultureIV. Moving Forward: Implications for Action and Future Research11. A Resilience Framework for Action12. Conclusions and Future DirectionsAppendix A. GlossaryAppendix B. AbbreviationsAppendix C. Recommended Readings by Topic

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Book SynopsisWriting Empirical Research Reports: A Basic Guide for Students of the Social and Behavioral Sciences, Ninth Edition, offers clear and practical guidance on how to write research proposals, reports, theses, and dissertations.The book describes the types of information that should be included, how this information should be expressed, and where various types of information should be placed within a research report. The organization is designed to walk students through all the elements required when writing an original research report for a class, for a thesis/dissertation, or for publication. Most guidelines are illustrated with examples from actual (and recent) research reports published in peer-reviewed journals across the social and behavioral sciences. The new edition includes fully updated examples and chapter exercises, expanded material on qualitative methods, significant new material on research ethics, and new content on online research including social media.Table of Contents1: Structuring a Research Report 2: Writing Simple Research Hypotheses 3: A Closer Look at Hypotheses 4: Writing Research Objectives and Questions 5: Writing Titles 6: Writing Introductions and Literature Reviews 7: Writing Definitions 8: Writing Assumptions, Limitations, and Delimitations 9: Writing Method Sections 10: Describing Experimental Methods 11: Writing Analysis and Results Sections 12: Writing Discussion Sections 13: Writing Abstracts 14: A Closer Look at Writing Reports of Qualitative or Mixed Methods Research 15: Preparing Reference Lists; Appendix A: A Checklist of Guidelines Appendix B: Thinking Straight and Writing That Way Appendix C: The Null Hypothesis and Significance Testing

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Book SynopsisSignificantly revised, the fifth edition of the most complete, accessible text now covers all three approaches to structural equation modeling (SEM)--covariance-based SEM, nonparametric SEM (Pearlâs structural causal model), and composite SEM (partial least squares path modeling). With increased emphasis on freely available software tools such as the R lavaan package, the text uses data examples from multiple disciplines to provide a comprehensive understanding of all phases of SEM--what to know, best practices, and pitfalls to avoid. It includes exercises with answers, rules to remember, topic boxes, and new self-tests on significance testing, regression, and psychometrics. The companion website supplies helpful primers on these topics as well as data, syntax, and output for the book's examples, in files that can be opened with any basic text editor. New to This Edition *Chapters on composite SEM, also called partial least squares path modeling or variance-based Trade Review"In this ambitious work, Kline thoughtfully and patiently presents diverse perspectives, effectively enlarging the world of SEM while maintaining coherence. The fifth edition's breadth and timeliness make it an easy choice as the primary text in a graduate course on SEM, with readability that journal articles often lack. Researchers will appreciate the book as an entry point to a range of literatures within the SEM world. Kline’s embrace of open-source R software for SEM is very welcome, as it makes the book’s computer examples immediately accessible to readers everywhere."--Edward E. Rigdon, PhD, Marketing RoundTable Professor, Robinson College of Business, Georgia State University "Kline’s fifth edition is thoroughly updated and greatly expanded. I love the emphasis on Open Science, and I am impressed by the variety of new methodological techniques in SEM that Kline has managed to effectively introduce in the fifth edition. I can’t wait to use this text in my SEM class!"--D. Betsy McCoach, PhD, Neag School of Education, University of Connecticut "A wonderful introductory book that can be used by individuals without extensive quantitative backgrounds. I use this book to teach an introductory SEM course, but I also use it as a personal reference for my research. It is very readable, which is the number-one reason why I assign this text to my students. I love the walk-through examples with references to real data and syntax. I have always liked Kline’s practical recommendations, and they continue to be really helpful for newbies to SEM--my students constantly reference these sections."--Naomi Ekas, PhD, Department of Psychology, Texas Christian University "One of the primary strengths of Kline’s book is that it is written in plain English, but with sufficient sophistication that the reader is well prepared to read more technical books or articles on advanced topics. Another strength is the helpful remedies and hints, such as the topic box on the causes of nonpositive definite data matrices and solutions. The most practical advantage of Kline’s text is the exercises at the end of each chapter, and the corresponding answers and explanations."--Stephanie Castro, PhD, College of Business, Florida Atlantic University "The substantially revised fifth edition lives up to the reputation of prior editions and will be a valuable resource to anyone learning SEM. The online primers are very thorough and give students great refreshers on background topics, including exercises with answers. This edition has appropriate balance between the three 'families' of SEM; I appreciate the detailed descriptions of Pearl’s structural causal model."--Jam Khojasteh, PhD, College of Education and Human Services, Oklahoma State University-Perfectly addresses the needs of social scientists like me without formal training in mathematical statistics....Can be read by any graduate in psychology or even by keen undergraduates interested in exploring new vistas. Yet it will also constitute a surprisingly good read for experienced researchers in search of some refreshing insights in their favorite techniques....A real tour de force....Succeeds in reconciling comprehensiveness and comprehensibility. (on the second edition)--The Psychologist, 01/01/2006ƒƒThe greatest strength of this book is Kline's ability to present materials in an engaging, accessible manner. In nearly all situations, Kline is able to describe even the more complex material in practical, (relatively) jargon-free terms....In this regard, this book is unparalleled, and I suspect that this strength alone will make this the book of choice for many who are eager to learn SEM but who do not possess extensive quantitative backgrounds....This book could be readily adapted to courses for students with a basic understanding of correlation and regression or as part of a course for more advanced students. (on the second edition)--PsycCRITIQUES, 06/29/2005ƒƒThis wonderfully written book is an impressive introduction to structural equation models (SEM) containing a sharp mix of expert analysis and observations....Contains important resources for both theoretical and applied researchers interested in SEM....Appropriate as a text for graduate students and a reference for researchers, providing both audiences with valuable insight into the subject matter. (on the second edition)--Journal of the American Statistical Association, 03/01/2006Table of Contents□I□n□t□r□o□d□u□c□t□i□o□n□□ □-□ □W□h□a□t□&□r□s□q□u□o□;□s□ □N□e□w□□ □-□ □B□o□o□k□ □W□e□b□s□i□t□e□□ □-□ □P□e□d□a□g□o□g□i□c□a□l□ □A□p□p□r□o□a□c□h□□ □-□ □P□r□i□n□c□i□p□l□e□s□ □&□g□t□;□ □S□o□f□t□w□a□r□e□□ □-□ □S□y□m□b□o□l□s□ □a□n□d□ □N□o□t□a□t□i□o□n□□ □-□ □E□n□j□o□y□ □t□h□e□ □R□i□d□e□□ □-□ □P□l□a□n□ □o□f□ □t□h□e□ □B□o□o□k□□ □I□.□ □C□o□n□c□e□p□t□s□,□ □S□t□a□n□d□a□r□d□s□,□ □a□n□d□ □T□o□o□l□s□□ □1□.□ □P□r□o□m□i□s□e□ □a□n□d□ □P□r□o□b□l□e□m□s□□ □-□ □P□r□e□p□a□r□i□n□g□ □t□o□ □L□e□a□r□n□ □S□E□M□□ □-□ □D□e□f□i□n□i□t□i□o□n□ □o□f□ □S□E□M□□ □-□ □B□a□s□i□c□ □D□a□t□a□ □A□n□a□l□y□z□e□d□ □i□n□ □S□E□M□□ □-□ □F□a□m□i□l□y□ □M□a□t□t□e□r□s□□ □-□ □P□e□d□a□g□o□g□y□ □a□n□d□ □S□E□M□ □F□a□m□i□l□i□e□s□□ □-□ □S□a□m□p□l□e□ □S□i□z□e□ □R□e□q□u□i□r□e□m□e□n□t□s□□ □-□ □B□i□g□ □N□u□m□b□e□r□s□,□ □L□o□w□ □Q□u□a□l□i□t□y□□ □-□ □L□i□m□i□t□s□ □o□f□ □T□h□i□s□ □B□o□o□k□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □2□.□ 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□M□e□t□h□o□d□s□ □f□o□r□ □I□n□c□o□m□p□l□e□t□e□ □D□a□t□a□□ □-□ □O□t□h□e□r□ □D□a□t□a□ □S□c□r□e□e□n□i□n□g□ □I□s□s□u□e□s□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □-□ □A□p□p□e□n□d□i□x□ □4□.□a□.□ □S□t□e□p□s□ □o□f□ □M□u□l□t□i□p□l□e□ □I□m□p□u□t□a□t□i□o□n□□ □5□.□ □C□o□m□p□u□t□e□r□ □T□o□o□l□s□□ □-□ □E□a□s□e□ □o□f□ □U□s□e□,□ □N□o□t□ □S□u□s□p□e□n□s□i□o□n□ □o□f□ □J□u□d□g□m□e□n□t□□ □-□ □H□u□m□a□n□&□n□d□a□s□h□;□C□o□m□p□u□t□e□r□ □I□n□t□e□r□a□c□t□i□o□n□□ □-□ □T□i□p□s□ □f□o□r□ □S□E□M□ □P□r□o□g□r□a□m□m□i□n□g□□ □-□ □E□a□s□e□ □o□f□ □U□s□e□,□ □N□o□t□ □S□u□s□p□e□n□s□i□o□n□ □o□f□ □J□u□d□g□m□e□n□t□□ □-□ □C□o□m□m□e□r□c□i□a□l□ □v□e□r□s□u□s□ □F□r□e□e□ □C□o□m□p□u□t□e□r□ □T□o□o□l□s□□ □-□ □R□ □P□a□c□k□a□g□e□s□ □f□o□r□ □S□E□M□□ □-□ □F□r□e□e□ □S□E□M□ □S□o□f□t□w□a□r□e□ □w□i□t□h□ □G□r□a□p□h□i□c□a□l□ □U□s□e□r□ □I□n□t□e□r□f□a□c□e□s□□ □-□ □C□o□m□m□e□r□c□i□a□l□ □S□E□M□ □C□o□m□p□u□t□e□r□ □T□o□o□l□s□□ □-□ □S□E□M□ □R□e□s□o□u□r□c□e□s□ □f□o□r□ □O□t□h□e□r□ □C□o□m□p□u□t□i□n□g□ □E□n□v□i□r□o□n□m□e□n□t□s□□ □-□ □S□u□m□m□a□r□y□□ □I□I□.□ □S□p□e□c□i□f□i□c□a□t□i□o□n□,□ □E□s□t□i□m□a□t□i□o□n□,□ □a□n□d□ □T□e□s□t□i□n□g□□ □6□.□ □N□o□n□p□a□r□a□m□e□t□r□i□c□ □C□a□u□s□a□l□ □M□o□d□e□l□s□□ □-□ □G□r□a□p□h□ □V□o□c□a□b□u□l□a□r□y□ □a□n□d□ □S□y□m□b□o□l□i□s□m□□ □-□ □C□o□n□t□r□a□c□t□e□d□ □C□h□a□i□n□s□ □a□n□d□ □C□o□n□f□o□u□n□d□i□n□g□□ □-□ □C□o□v□a□r□i□a□t□e□ □S□e□l□e□c□t□i□o□n□□ □-□ □I□n□s□t□r□u□m□e□n□t□a□l□ □V□a□r□i□a□b□l□e□s□□ □-□ □C□o□n□d□i□t□i□o□n□a□l□ □I□n□d□e□p□e□n□d□e□n□c□i□e□s□ □a□n□d□ □O□t□h□e□r□ □T□y□p□e□s□ □o□f□ □B□i□a□s□□ □-□ □P□r□i□n□c□i□p□l□e□s□ □f□o□r□ □C□o□v□a□r□i□a□t□e□ □S□e□l□e□c□t□i□o□n□□ □-□ □d□-□S□e□p□a□r□a□t□i□o□n□ □a□n□d□ □B□a□s□i□s□ □S□e□t□s□□ □-□ □G□r□a□p□h□i□c□a□l□ □I□d□e□n□t□i□f□i□c□a□t□i□o□n□ □C□r□i□t□e□r□i□a□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □7□.□ □P□a□r□a□m□e□t□r□i□c□ □C□a□u□s□a□l□ □M□o□d□e□l□s□□ □-□ □M□o□d□e□l□ □D□i□a□g□r□a□m□ □S□y□m□b□o□l□i□s□m□□ □-□ □D□i□a□g□r□a□m□s□ □f□o□r□ □C□o□n□t□r□a□c□t□e□d□ □C□h□a□i□n□s□ □a□n□d□ □A□s□s□u□m□p□t□i□o□n□s□□ □-□ □C□o□n□f□o□u□n□d□i□n□g□ □i□n□ □P□a□r□a□m□e□t□r□i□c□ □M□o□d□e□l□s□□ □-□ □M□o□d□e□l□s□ □w□i□t□h□ □C□o□r□r□e□l□a□t□e□d□ □C□a□u□s□e□s□ □o□r□ □I□n□d□i□r□e□c□t□ □E□f□f□e□c□t□s□□ □-□ □R□e□c□u□r□s□i□v□e□,□ □N□o□n□r□e□c□u□r□s□i□v□e□,□ □a□n□d□ □P□a□r□t□i□a□l□l□y□ □R□e□c□u□r□s□i□v□e□ □M□o□d□e□l□s□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □-□ □A□p□p□e□n□d□i□x□ □7□.□a□.□ □A□d□v□a□n□c□e□d□ □T□o□p□i□c□s□ □i□n□ □P□a□r□a□m□e□t□r□i□c□ □M□o□d□e□l□s□□ □8□.□ □L□o□c□a□l□ □E□s□t□i□m□a□t□i□o□n□ □a□n□d□ □P□i□e□c□e□w□i□s□e□ □S□E□M□□ □-□ □R□a□t□i□o□n□a□l□e□ □o□f□ □L□o□c□a□l□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □P□i□e□c□e□w□i□s□e□ □S□E□M□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □9□.□ □G□l□o□b□a□l□ □E□s□t□i□m□a□t□i□o□n□ □a□n□d□ □M□e□a□n□ □S□t□r□u□c□t□u□r□e□s□□ □-□ □S□i□m□u□l□t□a□n□e□o□u□s□ □M□e□t□h□o□d□s□ □a□n□d□ □E□r□r□o□r□ □P□r□o□p□a□g□a□t□i□o□n□□ □-□ □M□a□x□i□m□u□m□ □L□i□k□e□l□i□h□o□o□d□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □D□e□f□a□u□l□t□ □M□L□□ □-□ □A□n□a□l□y□z□i□n□g□ □N□o□n□n□o□r□m□a□l□ □D□a□t□a□□ □-□ □R□o□b□u□s□t□ □M□L□□ □-□ □F□I□M□L□ □f□o□r□ □I□n□c□o□m□p□l□e□t□e□ □D□a□t□a□ □v□e□r□s□u□s□ □M□u□l□t□i□p□l□e□ □I□m□p□u□t□a□t□i□o□n□□ □-□ □A□l□t□e□r□n□a□t□i□v□e□ □E□s□t□i□m□a□t□o□r□s□ □f□o□r□ □C□o□n□t□i□n□u□o□u□s□ □O□u□t□c□o□m□e□s□□ □-□ □F□i□t□t□i□n□g□ □M□o□d□e□l□s□ □t□o□ □C□o□r□r□e□l□a□t□i□o□n□ □M□a□t□r□i□c□e□s□□ □-□ □H□e□a□l□t□h□y□ □P□e□r□s□p□e□c□t□i□v□e□ □o□n□ □E□s□t□i□m□a□t□o□r□s□ □a□n□d□ □G□l□o□b□a□l□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □I□n□t□r□o□d□u□c□t□i□o□n□ □t□o□ □M□e□a□n□ □S□t□r□u□c□t□u□r□e□s□□ □-□ □P□r□&□e□a□c□u□t□e□;□c□i□s□ □o□f□ □G□l□o□b□a□l□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □-□ □A□p□p□e□n□d□i□x□ □9□.□a□.□ □T□y□p□e□s□ □o□f□ □I□n□f□o□r□m□a□t□i□o□n□ □M□a□t□r□i□c□e□s□ □a□n□d□ □C□o□m□p□u□t□e□r□ □O□p□t□i□o□n□s□□ □-□ □A□p□p□e□n□d□i□x□ □9□.□b□.□ □C□a□s□e□w□i□s□e□ □M□L□ □M□e□t□h□o□d□s□ □f□o□r□ □D□a□t□a□ □M□i□s□s□i□n□g□ □N□o□t□ □a□t□ □R□a□n□d□o□m□□ □1□0□.□ □M□o□d□e□l□ □T□e□s□t□i□n□g□ □a□n□d□ □I□n□d□e□x□i□n□g□□ □-□ □M□o□d□e□l□ □T□e□s□t□i□n□g□□ □-□ □M□o□d□e□l□ □C□h□i□-□S□q□u□a□r□e□□ □-□ □S□c□a□l□e□d□ □C□h□i□-□S□q□u□a□r□e□s□ □a□n□d□ □R□o□b□u□s□t□ □S□t□a□n□d□a□r□d□ □E□r□r□o□r□s□ □f□o□r□ □N□o□n□n□o□r□m□a□l□ □D□i□s□t□r□i□b□u□t□i□o□n□s□□ □-□ □M□o□d□e□l□ □F□i□t□ □I□n□d□e□x□i□n□g□□ □-□ □R□M□S□E□A□□ □-□ □C□F□I□□ □-□ □S□R□M□R□□ □-□ □T□h□r□e□s□h□o□l□d□s□ □f□o□r□ □A□p□p□r□o□x□i□m□a□t□e□ □F□i□t□ □I□n□d□e□x□e□s□□ □-□ □R□e□c□o□m□m□e□n□d□e□d□ □A□p□p□r□o□a□c□h□ □t□o□ □F□i□t□ □E□v□a□l□u□a□t□i□o□n□□ □-□ □G□l□o□b□a□l□ □F□i□t□ □S□t□a□t□i□s□t□i□c□s□ □f□o□r□ □t□h□e□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □P□o□w□e□r□ □a□n□d□ □P□r□e□c□i

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Book SynopsisAlan C. Acock's A Gentle Introduction to Stata, Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able to not only use Stata well but also learn new aspects of Stata.Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and explaining good statistical habits continues throughout the book.Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of Stata commands and do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material.The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material naturally. Real datasets, such as the General Social Surveys from 2002, 2006, and 2016, are used throughout the book.The focus of the book is especially helpful for those in the behavioral and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements.The revised sixth edition is fully up to date for Stata 17, including updated discussion and images of Stata's interface and modern command syntax. In addition, examples include new features such as the table command and collect suite for creating and exporting customized tables as well as the option for creating graphs with transparency.Table of ContentsGetting started Entering data Preparing data for analysis Working with commands, do-files, and results Descriptive statistics and graphs for one variable Statistics and graphs for two categorical variables Tests for one or two means Bivariate correlation and regression Analysis of variance Multiple regression Logistic regression Measurement, reliability, and validity Structural equation and generalized structural equation modeling Working with missing values—multiple imputation An introduction to multilevel analysis Item response theory (IRT) What’s next? Glossary of acronyms Glossary of mathematical and statistical symbols References

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Book SynopsisThe encouraging book that has guided thousands of students step by step through crafting a strong dissertation proposal is now in a thoroughly revised second edition. It includes new guidance for developing methodology-specific problem statements, an expanded discussion of the literature review, coverage of the four-chapter dissertation model, and more. Terrell demonstrates how to write each chapter of the proposal, including the problem statement, purpose statement, and research questions and hypotheses; literature review; and detailed plans for data collection and analysis. Let's Start Writing exercises serve as building blocks for drafting a complete proposal. Other user-friendly features include case-study examples from diverse disciplines, âœDo You Understand?â checklists, and end-of-chapter practice tests with answers. Appendices present an exemplary proposal written three ways to demonstrate quantitative, qualitative, and mixed methods approaches, and discuss how to stTrade Review"One of the biggest hurdles to timely completion of a doctoral degree is a well-written and defensible dissertation proposal. Terrell's second edition is an exceptional go-to resource. The revised and updated chapters on developing problem statements and writing the literature review are particularly helpful. Presenting clear guidelines and useful examples, the book breaks down the steps needed to efficiently produce an effective proposal. Isolating the importance/need/rationale for the dissertation and linking that to specific research questions written in a clear and answerable manner (via quantitative, qualitative, or mixed methods) is a particular strength of this text."--John S. Carlson, PhD, Department of Counseling, Educational Psychology, and Special Education, Michigan State University "This book can be used at multiple stages in the dissertation development process, beginning with the first time a topic is considered. This book helps take the guesswork out of the dissertation process, fills in details that seasoned writers may forget to mention, and answers questions that students are sometimes afraid to ask. The second edition includes a broader range of examples and adds emphasis to navigating the 'people' portion of writing the proposal and maximizing the use of technologies and other resources. It is written like a conversation, which makes the advice seem like it is coming from an old friend. This book aligns well with the process we are already using to help students develop their dissertation proposals and offers details that help to reinforce the next steps for students."--Pamela K. Brown, EdD, Department of Kinesiology, University of North Carolina at Greensboro "Useful changes in the second edition include an expanded discussion of the purpose statement and the review of literature, as well as more attention to ethical research, data collection, data analysis, and research designs. Terrell continues to cover such important research topics as sampling, instrumentation, reliability, validity, and different levels of measurement. The book is comprehensive in its coverage of topics, provides clear and concise examples, is affordable, and is a valuable asset for my doctoral students."--Steven B. Mertens, PhD, School of Teaching and Learning, Illinois State University "A good book for students who have taken a comprehensive research methods course and are now embarking on their own original research project. The second edition provides a wider array of examples from a number of disciplines, as well as expanded information on purpose statements and writing the review of literature. It retains such strengths from the first edition as progress checks and review questions in each chapter, and detailed descriptions of threats to internal and external validity."--Katherine K. Rose, PhD, Department of Human Development, Family Studies, and Counseling, Texas Woman’s University “The most difficult objective students have is development of their methods, followed by conducting a properly synthesized literature review. This text does an excellent job in covering both of these topics. My students find it both approachable and very useful.”--Tobin Hindle, PhD, Scientist and Graduate Program Director, Department of Geosciences, Florida Atlantic University-Table of ContentsIntroduction: Your Dissertation Proposal 1. Developing the Problem Statement for Your Dissertation Proposal 2. Writing Purpose Statements, Research Questions, and Hypotheses 3. Writing the Review of Literature for Your Dissertation Proposal 4. The First Part of Your Dissertation Research Method 5. Quantitative Research Methods 6. Qualitative Research Methods 7. Mixed Methods Research Designs Epilogue: Have We Accomplished What We Set Out to Do? Appendix A. Progress Check for Chapter 1 of a Dissertation Proposal: The Introduction Appendix B. Progress Check for Chapter 2 of a Dissertation Proposal: The Review of Literature Appendix C. Progress Check for Chapter 3 of a Quantitative Dissertation Proposal Appendix D. Progress Check for Chapter 3 of a Qualitative Dissertation Proposal Appendix E. Progress Check for Chapter 3 of a Mixed Methods Dissertation Proposal Appendix F. Sample Proposal for a Four-Chapter Dissertation Answers to Review Questions Glossary References Index About the Author

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Book Synopsis*Shortlisted for the BPS Book Award 2014 in the Textbook Category* *Winner of the 2014 Distinguished Publication Award (DPA) from the Association for Women in Psychology (AWP)* Successful Qualitative Research: A Practical Guide for Beginners is an accessible, practical textbook. It sidesteps detailed theoretical discussion in favor of providing a comprehensive overview of strategic tips and skills for starting and completing successful qualitative research. Uniquely, the authors provide a "patterns framework" to qualitative data analysis in this book, also known as "thematic analysis." The authors walk students through a basic thematic approach, and compare and contrast this with other approaches. This discussion of commonalities, explaining why and when each method should be used, and in the context of looking at patterns, will provide students with complete confidence for their qualitative research journey. This textbook will be an essential textbook for undergraduates and postgraduates taking a course in qualitative research or using qualitative approaches in a research project. Trade Review′Like water wings for the qualitative research beginner, Successful Qualitative Research: A Practical Guide for Beginners gracefully supports methodological novices until they learn to swim elegantly, on their own, in qualitative waters… As a teacher, researcher or a student, you will want to thank the gifted methodologists Braun and Clarke for making it all seem so easy′ Michelle FineThe City University of New York, NY, USA ′This is an admirably useful textbook that provides an uncommonly accessible, practical, and absorbing introduction for beginners to qualitative research′ Eva Magnusson Umeå University, UMEÅ, Sweden ′A clear, engaging and intelligent qualitative research guide which will greatly appeal to students new to this area. The authors should be commended for their lively style and attention to often hidden processes and practices involved in successful qualitative research′ Brendan Gough Leeds Metropolitan University ′This book provides an excellent introduction to qualitative research, combining in-depth explanation of the distinctive nature and goals of qualitative research methods with practical tips and helpful examples for beginners′ Lucy Yardley University of Southampton ′Virginia Braun and Victoria Clarke present a clear and comprehensive road map for executing a successful qualitative study. They do so in a very engaging way that really brings the process to life for the reader. This book will be an essential read for anyone contemplating a qualitative research project′ Guy Faulkner University of Toronto ′This practical guide refreshingly demystifies the qualitative research process, relentlessly pushing an agenda for uncomplicated but high standards across the board and generously enabling anyone, no matter how inexperienced, to get on with it and do it well. It is the kind of guide that not only says how to do it but that actually shows how to do it, with a myriad of real, reproduced examples, extremely useful tables, boxes, chapter summaries, questions for discussion, exercises and lists of resources including references to a companion website with even more guidance and examples.′ -- Edith SteffenTable of ContentsAcknowledgements PART ONE: Successfully Getting Started in Qualitative Research Chapter One: Some Very Important Starting Information Chapter Two: 10 Fundamentals of Qualitative Research Chapter Three: Planning and Designing Qualitative Research PART TWO: Sucessfully Collecting Qualitative Data Chapter Four: Interactive Data Collection 1: Interviews Chapter Five: Interactive Data Collection 2: Focus Groups Chapter Six: Textual Data Collection: Surveys, Stories, Diaries and Secondary Sources PART THREE: Successfully analysing Qualitative Data Chapter Seven: Preparing Audio Data for Analysis: Transcription Chapter Eight: Moving Towards Analysis Chapter Nine: First Analytic Steps: Familiarization and Data Coding Chapter Ten: Identifying Patterns across Data Chapter Eleven: Analyzing and Interpreting Patterns Across Data PART FOUR: Successfully Completing Qualitative Research Chapter Twelve: Quality Criteria and Techniques for Qualitative Research Chapter Thirteen: Writing and Communicating Qualitative Research

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Book SynopsisThe brief, practical texts in the Essentials of Qualitative Methods series introduce social science and psychology researchers to key approaches toqualitative methods, offering exciting opportunities to gather in-depth qualitative data and to develop rich and useful findings. In this book, Ruthellen Josselson and Phillip L. Hammack introduce readers to Narrative Analysis, a qualitative method that investigates how people make meaning of their lives and experiences in both social and cultural contexts. This method offers researchers a window into how individuals'' stories are shaped by the categories they inhabit, such as gender, race, class, and sexual identity, and it preserves the voice of the individual through a close textual analysis of their storytelling.About the Essentials of Qualitative Methods book series: Even for experienced researchers, selecting and correctly applying the right method can be challenging. In this groundbreaking series,Trade ReviewA crisp, clear, and pragmatic orientation to narrative research in psychology. Every student beginning narrative research should have this book firmly in hand. An excellent introduction that explains why narrative is so critical to the future of psychological research. -- Brian Schiff, PhD, author of A New Narrative for Psychology, American University of Paris, Paris, FranceUsing clear examples and easy to grasp language, the authors demonstrate narrative analysis methods and also ask researchers to think in new ways. They demonstrate how to balance the small details of a person’s life with attention to the bigger picture—the person as they exist in history, social locations, and inequality. Psychologists across many fields can learn from this guidebook how to study people in context. -- Sara McClelland, PhD, Associate Professor of Psychology and Women’s & Gender Studies, University of Michigan, Ann Arbor, United StatesTable of ContentsSeries Foreword—Clara E. Hill and Sarah Knox 1. Conceptual Foundations for the Method Stories and Human Experience: The Call for Narrative Analysis History and Epistemology of Narrative Analysis Key Features of Narrative Analysis Summary 2. Study Design and Data Collection Research Questions Recruiting, Interviewing, Analyzing: The Recursive Circle 3. Data Analysis Processes of Analysis Orientation to the Narrative A Sample Narrative Analysis: The Story of Lou Reflexivity and the Analytic Process 4. Writing the Manuscript Typical Structure of a Journal Article Representation Typical Structure of a Book or Dissertation Tips for Manuscript Preparation 5. Variations on the Method Small Stories Variations in Analysis 6. Methodological Integrity and Ethics Amount and Contextualization of Data Collected Perspective Management Data and Research Question Coherence and Groundedness of Interpretations Ethics 7. Summary and Conclusions Benefits and Advantages of Narrative Analysis Limitations of Narrative Analysis Narrative Analysis for a New Psychology Appendix: Exemplar Studies References Index About the Authors About the Series Editors

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Book SynopsisKeeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual undeTrade ReviewIn statistics, R is the way of the future. The big boys and girls have known this for some time: There are now millions of R users in academia and industry. R is free (as in no cost) and free (as in speech). Andy, Jeremy, and Zoe′s book now makes R accessible to the little boys and girls like me and my students. Soon all classes in statistics will be taught in R. I have been teaching R to psychologists for several years and so I have been waiting for this book for some time. The book is excellent, and it is now the course text for all my statistics classes. I′m pretty sure the book provides all you need to go from statistical novice to working researcher. Take, for example, the chapter on t-tests. The chapter explains how to compare the means of two groups from scratch. It explains the logic behind the tests, it explains how to do the tests in R with a complete worked example, which papers to read in the unlikely event you do need to go further, and it explains what you need to write in your practical report or paper. But it also goes further, and explains how t-tests and regression are related---and are really the same thing---as part of the general linear model. So this book offers not just the step-by-step guidance needed to complete a particular test, but it also offers the chance to reach the zen state of total statistical understanding. Prof. Neil StewartWarwick University Field′s Discovering Statistics is popular with students for making a sometimes deemed inaccessible topic accessible, in a fun way. In Discovering Statistics Using R, the authors have managed to do this using a statistics package that is known to be powerful, but sometimes deemed just as inaccessible to the uninitiated, all the while staying true to Field′s off-kilter approach. Dr Marcel van Egmond University of Amsterdam Probably the wittiest and most amusing of the lot (no, really), this book takes yet another approach: it is 958 pages of R-based stats wisdom (plus online accoutrements)... A thoroughly engaging, expansive, thoughtful and complete guide to modern statistics. Self-deprecating stories lighten the tone, and the undergrad-orientated ′stupid faces′ (Brian Haemorrhage, Jane Superbrain, Oliver Twisted, etc.) soon stop feeling like a gimmick, and help to break up the text with useful snippets of stats wisdom. It is very mch a student textbook but it is brilliant... Field et al. is the complete package.David M. Shuker AnimJournal of Animal Behaviour "This work should be in the library of every institution where statistics is taught. It contains much more content than what is required for a beginning or advanced undergraduate course, but instructors for such courses would do well to consider this book; it is priced comparably to books which contain only basic material, and students who are fascinated by the subject may find the additional material a real bonus. The book would also be very good for self-study. Overall, an excellent resource." -- R. Bharath * Choice *The main strength of this book is that it presents a lot of information in an accessible, engaging and irreverent way. The style is informal with interesting excursions into the history of statistics and psychology. There is reference to research papers which illustrate the methods explained, and are also very entertaining. The authors manage to pull off the Herculean task of teaching statistics through the medium of R... All in all, an invaluable resource. -- Paul WebbTable of ContentsWhy Is My Evil Lecturer Forcing Me to Learn Statistics? What will this chapter tell me? What the hell am I doing here? I don′t belong here Initial observation: finding something that needs explaining Generating theories and testing them Data collection 1: what to measure Data collection 2: how to measure Analysing data What have I discovered about statistics? Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Everything You Ever Wanted to Know About Statistics (Well, Sort of) What will this chapter tell me? Building statistical models Populations and samples Simple statistical models Going beyond the data Using statistical models to test research questions What have I discovered about statistics? Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research The R Environment What will this chapter tell me? Before you start Getting started Using R Getting data into R Entering data with R Commander Using other software to enter and edit data Saving Data Manipulating Data What have I discovered about statistics? R Packages Used in This Chapter R Functions Used in This Chapter Key terms that I′ve discovered Smart Alex′s Tasks Further reading Exploring Data with Graphs What will this chapter tell me? The art of presenting data Packages used in this chapter Introducing ggplot2 Graphing relationships: the scatterplot Histograms: a good way to spot obvious problems Boxplots (box-whisker diagrams) Density plots Graphing means Themes and options What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Exploring Assumptions What will this chapter tell me? What are assumptions? Assumptions of parametric data Packages used in this chapter The assumption of normality Testing whether a distribution is normal Testing for homogeneity of variance Correcting problems in the data What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Correlation What will this chapter tell me? Looking at relationships How do we measure relationships? Data entry for correlation analysis Bivariate correlation Partial correlation Comparing correlations Calculating the effect size How to report correlation coefficents What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Regression What will this chapter tell me? An Introduction to regression Packages used in this chapter General procedure for regression in R Interpreting a simple regression Multiple regression: the basics How accurate is my regression model? How to do multiple regression using R Commander and R Testing the accuracy of your regression model Robust regression: bootstrapping How to report multiple regression Categorical predictors and multiple regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Logistic Regression What will this chapter tell me? Background to logistic regression What are the principles behind logistic regression? Assumptions and things that can go wrong Packages used in this chapter Binary logistic regression: an example that will make you feel eel How to report logistic regression Testing assumptions: another example Predicting several categories: multinomial logistic regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Comparing Two Means What will this chapter tell me? Packages used in this chapter Looking at differences The t-test The independent t-test The dependent t-test Between groups or repeated measures? What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Comparing Several Means: ANOVA (GLM 1) What will this chapter tell me? The theory behind ANOVA Assumptions of ANOVA Planned contrasts Post hoc procedures One-way ANOVA using R Calculating the effect size Reporting results from one-way independent ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Analysis of Covariance, ANCOVA (GLM 2) What will this chapter tell me? What is ANCOVA? Assumptions and issues in ANCOVA ANCOVA using R Robust ANCOVA Calculating the effect size Reporting results What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Factorial ANOVA (GLM 3) What will this chapter tell me? Theory of factorial ANOVA (independant design) Factorial ANOVA as regression Two-Way ANOVA: Behind the scenes Factorial ANOVA using R Interpreting interaction graphs Robust factorial ANOVA Calculating effect sizes Reporting the results of two-way ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Repeated-Measures Designs (GLM 4) What will this chapter tell me? Introduction to repeated-measures designs Theory of one-way repeated-measures ANOVA One-way repeated measures designs using R Effect sizes for repeated measures designs Reporting one-way repeated measures designs Factorisal repeated measures designs Effect Sizes for factorial repeated measures designs Reporting the results from factorial repeated measures designs What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Mixed Designs (GLM 5) What will this chapter tell me? Mixed designs What do men and women look for in a partner? Entering and exploring your data Mixed ANOVA Mixed designs as a GLM Calculating effect sizes Reporting the results of mixed ANOVA Robust analysis for mixed designs What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Non-Parametric Tests What will this chapter tell me? When to use non-parametric tests Packages used in this chapter Comparing two independent conditions: the Wilcoxon rank-sum test Comparing two related conditions: the Wilcoxon signed-rank test Differences between several independent groups: the Kruskal-Wallis test Differences between several related groups: Friedman′s ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Multivariate Analysis of Variance (MANOVA) What will this chapter tell me? When to use MANOVA Introduction: similarities and differences to ANOVA Theory of MANOVA Practical issues when conducting MANOVA MANOVA using R Robust MANOVA Reporting results from MANOVA Following up MANOVA with discriminant analysis Reporting results from discriminant analysis Some final remarks What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Exploratory Factor Analysis What will this chapter tell me? When to use factor analysis Factors Research example Running the analysis with R Commander Running the analysis with R Factor scores How to report factor analysis Reliability analysis Reporting reliability analysis What have I discovered about statistics? R Packages Used in This Chapter R Functions Used in This Chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Categorical Data What will this chapter tell me? Packages used in this chapter Analysing categorical data Theory of Analysing Categorical Data Assumptions of the chi-square test Doing the chi-square test using R Several categorical variables: loglinear analysis Assumptions in loglinear analysis Loglinear analysis using R Following up loglinear analysis Effect sizes in loglinear analysis Reporting the results of loglinear analysis What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Multilevel Linear Models What will this chapter tell me? Hierarchical data Theory of multilevel linear models The multilevel model Some practical issues Multilevel modelling on R Growth models How to report a multilevel model What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Epilogue: Life After Discovering Statistics Troubleshooting R Glossary Appendix Table of the standard normal distribution Critical Values of the t-Distribution Critical Values of the F-Distribution Critical Values of the chi-square Distribution References

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Book SynopsisDieses Lehrbuch führt in die theoretischen Grundlagen und praktischen Vorgehensweisen der Untersuchung von "narrativer Identität" anhand von autobiografischen Erzählinterviews ein.Table of ContentsSprache als Wirklichkeitskonstruktion - Autobiografisches Erzählen - Die 'narrative Identität' - Das Erzählinterview als empirischer Zugang - Grundlagen der Interpretation - Grundlagen des textanalytischen Arbeitens - Fokussierung der Interpretation - Praxis der Textanalyse - Strukturelle Aspekte der autobiographischen Gesamterzählung - Feinanalyse - Übergreifende Darstellungs- und Kommunikationsstrategien der Erzähler - Die praktischen Arbeitsschritte der Textanalyse - Planung und Durchführung des narrativen Interviews - Die Überführung des Interviews in den Text - Textaufbereitung - Sequenzanalyse - Fallübergreifende Techniken - Darstellung der Forschungsergebnisse

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Book SynopsisWrite It Up is for anyone writing an empirical article in APA Style amp reg , from beginners facing their first article to old dogs looking for new writing strategies. Your academic writing will be more influential if you approach it reflectively and strategically. Based on his experience as an author, journal editor, and peer reviewer, Paul J. Silvia offers sage and witty advice on problems like picking journals cultivating the right tone and style for your article managing collaborative projects and coauthors crafting effective Introduction, Method, Results, and Discussion sections and submitting and resubmitting papers to journals. Write It Up features: amp bull readable and amusing, the book shows, step-by-step, how to plan and organize your academic writing and amp bull uses real-world examples to illustrate how to improve writing style and write better articles.Trade ReviewIn the world of academia, once in a while, we are privileged to read a book that is both educational and entertaining … Silvia's Write It Up is a book that should be on the shelves of every aspiring writer, academic and researcher. * Child Adolescent Social Work Journal *The discussion is so well rounded, topical, and useful for one's career, this book should be required supplemental reading in graduate school for courses such as research methods. * Doody's Review Service *Its reasonable price, logical organization, and practical suggestions make it a reference that anyone who wants to have a better understanding of how to get articles published in their journal of choice might benefit from owning. * PsycCRITIQUES *From practical advice on grammar to tips, tricks, and common pitfalls when co-authoring papers, Write it Up is an absolute must-have for any scientific or academic seeking to build their reputation through published journal articles. * Midwest Book Review *Table of Contents Preface Introduction I. Planning and Prepping How and When to Pick a Journal Tone and Style Writing With Others: Tips for Coauthored Papers II. Writing the Article Writing the Introduction Writing the Method Writing the Results Writing the Discussion Arcana and Miscellany: From Titles to Footnotes III. Publishing Your Writing Dealing With Journals: Submitting, Resubmitting, and Reviewing One of Many: Building a Body of Work References Index About the Author

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Book SynopsisTreating borderline patients is one of the most challenging areas in psychotherapy because of the patient's extreme emotional expressions,and the strain it places on the therapist. Transference-Focused Therapy (TFP) is psychodynamic treatment designed especially for borderline patients. This book provides a comprehensive introduction to TFP.Trade ReviewA Primer of Transference-Focused Psychotherapy for the Borderline Patient provides an excellent introduction and resource guide for object-relations therapy for these [borderline] patients. This is an excellent introductory and reference source forobject-relations therapy with borderline patients. It is user-friendly and practical in its discussions of theory, technique, and long-term considerations for ethical and therapeutic pitfalls. An abundance of resource and bibliographic references are provided to direct the reader to more in-depth discussions of the key topics. The text provides a road map for the budding therapist when encountering splitting, therapeutic boundaries, and threats to the treatment contract. Excellent examples are provided to illustrate the identification of negative object dyads and ways they are manifest in transference material.. * PsycCRITIQUES *In this remarkable volume, Yeomans, Clarkin, and Kernberg have accomplished the impossible by combining a highly sophisticated theory of psychopathology and technique with a practical handbook for the treatment of borderline patients. The reader will find here a concise review of a psychoanalytic approach to understanding borderline personality organization. The clinician will also find a detailed step-by-step guide to the complex process of turning the emotionally intense and often chaotic interactions generated by these patients into useful psychotherapeutic dialogue. While this book presents itself as A Primer of Transference-Focused Psychotherapy for the Borderline Patient, it has much to offer psychodynamic psychotherapists at all levels of experience in their treatment of patients at all levels of personality organization. -- Elizabeth L. Auchincloss, M.D., Weill Medical College of Cornell UniversityYeomans, Clarkin, and Kernberg's A Primer of Transference-Focused Psychotherapy for the Borderline Patient stands out like a beacon to the rest of the psychodynamic community. In an era of empirically supported therapies, the work of the Cornell group has shown that it can be done, that it can be done superbly, and that it can be done without violating a single one of our cherished ideals as psychoanalytic clinicians. This is an excellent and immensely helpful introduction to the most successful program of intervention research on psychodynamic psychotherapy anywhere. It is a must-have. -- Peter Fonagy, University College, LondonA Primer of Transference-Focused Psychotherapy for the Borderline Patient provides an excellent introduction and resource guide for object-relations therapy for these [borderline] patients. This is an excellent introductory and reference source for object-relations therapy with borderline patients. It is user-friendly and practical in its discussions of theory, technique, and long-term considerations for ethical and therapeutic pitfalls. An abundance of resource and bibliographic references are provided to direct the reader to more in-depth discussions of the key topics. The text provides a road map for the budding therapist when encountering splitting, therapeutic boundaries, and threats to the treatment contract. Excellent examples are provided to illustrate the identification of negative object dyads and ways they are manifest in transference material. * PsycCRITIQUES *

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Book SynopsisThis 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.Table of ContentsAcknowledgements. List of contributors. Chapter 1 Tradition and innovation in theory and practice: an orientation, Inger Safvestad Nolan and Patrick Nolan. Chapter 2 Object relations as a context for an integrative approach to psychotherapy, Patrick Nolan. Chapter 3 Integrative and object relations focused approaches to psychotherapy: theoretical concerns and outcome research, George Stricker and Jane Gooen-Piels. Chapter 4 An object relations based integrative psychotherapy: the use of conceptuala analysis in understanding change, Hilde Rapp. Chapter 5 Integration of theory: methodolical issues, Mikael Leiman and William B. Stiles. Chapter 6 Developmetnal theories in the process of change, Margareta Broden. Chapter 7 Integrating object relations narratives in analytic work with children and adolescents, Paul Sepping. Chapter 8 The weave of object relations and familty systems thinking: working therapeutically with families and couples in a community alcohol service, Arlene Vetere and Mavis Henley. Chapter 9 Cognitive Analytic Therapy: a Vygotskian development of object relations theory, Anthony Ryle and Fierman Bennink-Bolt. Chapter 10 Sexual abuse, post-traumatic stress and object relations: an integrative way of working, Deirdre Mannion. Chapter 11 An integrative approach to body oriented psychotherapy, Lennart Ramberg and Bjorn Wrangsjo. Chapter 12 Supervision from an object relations and integrative perspective: a learning from experience, Gertrud Mander. Chapter 13 The strengths and limitations of a psychodynamic perspective in organizational consultancy, Eric Miller. Chapter 14 Tribal processes in psychotherapy: the stand off between psychoanalytic and systemic schools, Sebastian Kraemer. Index.

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Book SynopsisStanislav Grof’s first 17 years of research into nonordinary states of consciousness induced by LSD and other psychedelics led to a revolutionary understanding of the human psyche. His research was the impetus behind a vastly expanded cartography of the unconscious, including two new realms still unacknowledged by official academic circles--the perinatal domain, which holds memories of the various stages of birth, and the transpersonal domain, which mediates experiential identification with other species and mythic figures, visits to archetypal realms, access to past life memories, and union with the cosmic creative principle. The research presented in this book provides a map of the psyche that is essential for understanding such phenomena as shamanism and near death experiences as well as other nonordinary states of consciousness. This map has led to the development of important new therapies in psychiatry and psychology for treating mental conditions often seen as disease and therefore suppressed by medication. It also provides a new threshold to understanding and entering the numinous realm of spirit.Trade Review“The most significant development in the recent history of depth psychology, and the most important advance in the field since Freud and Jung themselves, has been the work of Stanislav Grof.” * Richard Tarnas, Ph.D., author of The Passion of the Western Mind *“A breakthrough work.” * Jean Houston, Ph.D., coauthor of The Varieties of Psychedelic Experience *“Stanislav Grof is the undisputed world authority on LSD and the human psyche, and this book provides the best cartography of consciousness for understanding the profound impact of entheogens on the mind.” * Alex Grey, artist and author of Sacred Mirrors and Transfigurations *“Dr. Stanislav Grof's LSD: Doorway to the Numinous is an extraordinary alchemical text that overturns many commonly held beliefs about the nature of individual identity and consciousness. Based on his 2,500 clinical sessions using LSD as a therapeutic tool before the substance was interdicted, Grof's book explores the vast dimensions of inner experience that have been ignored and marginalized by the mainstream. He also provides a theoretical framework for understanding these amazing experiences that synthesizes Freudian and Jungian insights into the dark matter of the unconscious and the primal drives that secretly impel us to act. A must-read for all serious students of consciousness.” * Daniel Pinchbeck, author of 2012: The Return of Quetzalcoatl and Breaking Open the Head *“I know of no work that so well incorporates the findings of Freud, Jung, and Rank, adding fresh insights that the methods of these psychotherapists could never have achieved. It certainly goes beyond Freud. It brings new clarification to Jung. It throws new light on the topic of death and resurrection symbolism, as well as on religious imagery. I do not doubt that others working in this field will find Dr. Grof's discoveries a basis for a whole new strategy of research.” * Joseph Campbell, author of The Hero with a Thousand Faces, The Masks of God, and Myths to Live By *“Stanislav Grof ’s research is the most important contribution to personality theory in several decades.” * Abraham Maslow, Ph.D., psychologist, cofounder of Humanistic and Transpersonal Psychology, and autho *“An exceptionally clear and readable introduction to the evolving psychology of the spirit--transpersonal psychology--that is one of the most exciting developments of our times. Grof is far and away one of the leading scientists exploring this field.” * Charles Tart, Ph.D., psychologist and author of States of Consciousness, PSI: Scientific Studies of *“Dr. Grof's studies of the mystical experience in LSD therapy represent an extremely valuable scientific approach to consciousness research from which many people can benefit.” * Chogyam Trungpa Rinpoche, Tibetan lama and author of Born in Tibet, Spiritual Materialism, and Medit *“Grof has had far and away more experience in psychedelic research than anyone else and has come up with the most comprehensive and helpful framework for interpreting the data in this bewildering area.” * Huston Smith, Ph.D., author of The World’s Religions and Beyond the Post-Modern Mind *“Grof marshals an impressive array of data and speculation in support of the timely demand that Western science acknowledge consciousness and its many nonordinary states.” * Richard Alpert (Ram Dass), Ph.D., psychologist, spiritual teacher, and author of Be Here Now, Grist *“A fascinating journey through previously uncharted realms of the psyche guided by one of the world’s foremost consciousness researchers. A remarkable account of the extraordinary depths of the human psyche.” * Frances Vaughan, Ph.D., psychologist and author of Awakening Intuition and The Inward Arc *" . . . Grof's engrossing state-of-the-science overview argues convincingly that continued LSD reserach will help patients, parents, policymakers, and even spiritual seekers." * Publishers Weekly, Feb 2009 *"Dr. Grof's efforts should be lauded and highly commended in the scientific and medical community. His clinical research is courageous and luminous to anyone who is conscious of the body's metaphysiology and higher energy dynamics. This field of research is as important to the human animal as molecular scientific inquiry into the etiology of neoplasias." * Dr. Ron Shane, reviewer, April 2009 *"Dr. Grof has helped to give us new ways of seeing the world . . . He has opened a link between the psyche and the spirit." * Nexus New Times Magazine, Sept/Oct 2009 *"For any serious student of psychedelics or psychology, this is an important read that should not be ignored. In terms of building a foundation for the future of the psychedelic movement and finding a place for psychedelics in society, LSD:Doorway to the Numinous is without question the text. Authoritative, insightful, and self-aware." * Psychedelic Press, UK, Feb 2010 *Table of Contents Acknowledgments Preface 1 General Introduction The LSD Controversy LSD and Its Effects in Human Beings Empirical Basis for a New Theoretical Framework Heuristic Value of LSD Research 2 Abstract and Aesthetic Experiences in LSD Sessions 3 Psychodynamic Experiences in LSD Sessions COEX Systems (Systems of Condensed Experience) Origin and Dynamics of COEX Systems Manifestation of COEX Systems in LSD Sessions Dynamic Interaction between the COEX Systems and Environmental Stimuli 4 Perinatal Experiences in LSD Sessions Perinatal Matrix I. Primal Union with the Mother (Intrauterine Experience before the Onset of Delivery) Perinatal Matrix II. Antagonism with the Mother (Contractions in a Closed Uterine System) Perinatal Matrix III. Synergism with the Mother (Propulsion through the Birth Canal) Perinatal Matrix IV. Separation from the Mother (Termination of the Symbiotic Union and Formation of a New Type of Relationship) Significance of Basic Perinatal Matrices in LSD Psychotherapy 5 Transpersonal Experiences in LSD Sessions Experiential Extension within the Framework of “Objective Reality” Temporal Expansion of Consciousness • Embryonal and Fetal Experiences • Ancestral Experiences • Collective and Racial Experiences • Phylogenetic (Evolutionary) Experiences • Past-Incarnation Experiences • Precognition, Clairvoyance, Clairaudience, and “Time Travels” Spatial Expansion of Consciousness • Ego Transcendence in Interpersonal Relationships and the Experience of Dual Unity • Identification with Other Persons • Group Identification and Group Consciousness • Animal Identification • Plant Identification • Oneness with Life and with All Creation • Consciousness of Inorganic Matter • Planetary Consciousness • Extraplanetary Consciousness • Out-of-Body Experiences, Traveling Clairvoyance and Clairaudience, “Space Travels,” and Telepathy Spatial Constriction of Consciousness • Organ, Tissue, and Cellular Consciousness Experiential Extension beyond the Framework of “Objective Reality” • Spiritistic and Mediumistic Experiences • Experiences of Encounters with Suprahuman Spiritual Entities • Experiences of Other Universes and Encounters with Their Inhabitants • Archetypal Experiences and Complex Mythological Sequences • Experiences of Encounters with Various Deities • Intuitive Understanding of Universal Symbols • Activation of the Chakras and Arousal of the Serpent Power (Kundalini) • Consciousness of the Universal Mind • The Supracosmic and Metacosmic Void Significance of Transpersonal Experiences in LSD Psychotherapy Transpersonal Experiences and Contemporary Psychiatry 6 Multidimensional and Multilevel Nature of the LSD Experience Environmental Stimuli and Elements of the Setting Personality of the Therapist and the Therapeutic Situation Present Life Situation Past Life History Early Childhood and Infancy Biological Birth and the Perinatal Period Embryonal and Fetal Existence Transindividual (Transpersonal and Transhuman) Sources Epilogue The Psychedelic Research Renaissance--A Review of Recent Psychedelic Psychotherapy Research by L. Jerome, Ph.D., Valerie Mojeiko, and Rick Doblin, Ph.D. Notes Index About the Author

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Book SynopsisAn EasyGuide to Research Design and SPSS® is an essential resource for students to successfully navigate and complete research projects. Using a clear, concise, and conversational writing style, authors Beth M. Schwartz, Janie H. Wilson, and Dennis M. Goff cover all of the most basic and common designs and analyses that students need to know for appropriately testing a hypothesis. The handbook includes step-by-step instructions accompanied by ample screenshots for working with data in SPSS®, along with guidance on interpreting outputs and formatting results in APA style. The Second Edition features a streamlined organization, updated references, and new content on factorial designs, effect size, and G*Power.Table of ContentsPreface About the Authors SECTION I. OVERVIEW OF BASIC DESIGN DECISIONS 1. The Marriage of Stats and Methods: ’til Death Do They Part We Want to Help Basic Steps of Research Summary 2. Nominal, Ordinal, Interval, or Ratio: Why Your Type of Data Really Does Matter Nominal Data Ordinal Data Interval Data Ratio Data Summary 3. Designing Your Hypothesis: To KISS (Keep It Simple, Student) or to Complicate Matters How Many Variables Should I Include? How Many Participants Should I Include? How Many Independent Variables Should I Include? Including More Than One Independent Variable Choosing the Number of Levels of Each Variable Choosing Your Dependent Variables Avoiding the Unmeasurable Dependent Variables How Many Dependent Variables to Include Summary SECTION II. YOUR BASIC SPSS TOOLBOX 4. Why SPSS and Not Other Software, Your Calculator, Fingers, or Toes 5. Handling Your Data in SPSS: Columns, and Labels, and Values . . . Oh My! The Structure of SPSS When to Create Your Data File: Yes, Even Before Data Collection Setting Up Your Data File Importing Data Naming and Labeling Your Variables How to Keep Track and Remember the Details of Your Data File Creating New Variables in Your Data File: Transformations Calculating a Total or Mean Score Recording Variables Conducting Analyses With Only Part of Your Collected Data: Split File and Select Cases Summary 6. Descriptive Statistics: Tell Me About It Describing Nominal Data Describing Ordinal Data Describing Interval or Ratio Data Describing Data With Two Samples Summary SECTION III. DESIGNS, STATISTICS, INTERPRETATION, AND WRITE-UP IN APA STYLE 7. Between-Groups Designs: Celebrate Your Independence! One IV, Two Levels Between Groups With Two Levels of an IV Independent-Samples t-Test With a Quasi-IV Between Groups With More Than Two Levels of an IV Between Groups With More Than One IV Summary 8. Repeated-Measures Designs: Everybody Plays! One Independent Variable With Two Levels Expanding the Number of Levels for Your Independent Variable Adding Another Factor: Within-Subjects Factorial Designs Summary 9. Advanced Research Designs: Complicating Matters Mixed Designs: One Between Variable and One Repeated-Measures Variable A Multivariate Design: Measuring It All Including More Than One Dependent Variable in Your Design ANCOVA Summary 10. Correlational Analysis: How Do I Know If That Relationship Is Real? Correlational Analysis: Two Variables Prediction With Two Variables: Simple Linear Regression Prediction With Several Variables: Multiple Linear Regression Summary 11. Chi Square: Staying on the Same Frequency What Do You Expect? One-Way Chi Square With More Than Two Levels Two-Way Chi Square Summary 12. How Many Participants Do You Need? More Power to You! Finding Power in SPSS’s General Linear Model Using G*Power to Find Power Planning Sample Sizes for Your Future Research Summary SECTION IV. A SUMMARY 13. Mapping Your Decisions: You Can Get There From Here Making Basic Decisions About Your Design Data With Distinct Groups Interval or Ratio Data With Many Levels Summary 14. APA Results Sections t-Test for Independent Samples (True IV) t-Test for Independent Samples (Pseudo-IV) One-Way ANOVA for Independent Groups (True IV) t-Test for Correlated Samples One-Way ANOVA for Correlated Groups (Repeated Measures) Factorial ANOVA for Correlated Groups (Repeated Measures) Factorial ANOVA for Mixed Groups Factorial ANOVA for Independent Groups Analysis of Covariance Pearson’s r Correlation Pearson’s r Correlation and Simple Regression One-Way c2 Two-Way c2 15. Frequently Asked Questions: Did I Do That? Questions About Research Design Questions About Analyzing Your Data Questions About Interpreting Your Data and Presenting Your Results Summary Glossary Index References

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Book SynopsisINSTANT NEW YORK TIMES BESTSELLEROne of the most important books I've ever read-an indispensable guide to thinking clearly about the world. - Bill GatesHans Rosling tells the story of 'the secret silent miracle of human progress' as only he can. But Factfulness does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly. -Melinda GatesFactfulness by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases. - Former U.S. President Barack ObamaFactfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. When asked simple questions about global trends-what percentage of the world's population live in poverty; why the world's population is increasing; how

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Book SynopsisStata for the Behavioral Sciences, by Michael Mitchell, is the ideal reference for researchers using Stata to fit ANOVA models and other models commonly applied to behavioral science data. Drawing on his education in psychology and his experience in consulting, Mitchell uses terminology and examples familiar to he reader as he demonstrates how to fit a variety of models, how to interpret results, how to understand simple and interaction effects, and how to explore results graphically. Although this book is not designed as an introduction to Stata, it is appealing even to Stata novices. Throughout the text, Mitchell thoughtfully addresses any features of Stata that are important to understand for the analysis at hand. He also is careful to point out additional resources such as related videos from Stata's YouTube channel.This book is an easy-to-follow guide to analyzing data using Stata for researchers in the behavioral sciences and a valuable addition to the bookshelf of anyone interested in applying ANOVA methods to a variety of experimental designs.Trade Review...for those who know STATA and are interested in ANOVA and ANCOVA, this is a highly useful book, for which there do not seem to be many alternatives. It is also easy to imagine that the book would be useful for experienced users of ANOVA and ANCOVA who are contemplating stepping over from SPSS to STATA.—Gijs Dekkers, Federal Planning Bureau, BelgiumTable of ContentsWarming up. Introduction. Descriptive statistics. Basic inferential statistics. Between-subjects ANOVA models. One-way between-subjects ANOVA. Contrasts for a one-way ANOVA. Analysis of covariance. Two-way factorial between-subjects ANOVA. Analysis of covariance with interactions. Three-way between-subjects analysis of variance. Supercharge your analysis of variance (via regression). Power analysis for analysis of variance and covariance. Repeated measures and longitudinal designs. Repeated measures designs. Longitudinal designs. Regression models. Simple and multiple regression. More details about the regress command. Presenting regression results. Tools for model building. Regression diagnostics. Power analysis for regression. Stata overview. Common features of estimation commands. Postestimation commands. Stata data management commands. Stata equivalents of common IBM SPSS Commands.

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Book SynopsisWhat kinds of questions do experienced therapists ask themselves when facing a new client? How can clinical expertise be taught? From the author of the landmark Psychoanalytic Diagnosis, this book takes clinicians step-by- step through developing an understanding of each client's unique psychology and using this information to guide and inform treatment decisions. McWilliams shows that while seasoned practitioners rely upon established diagnostic categories for record-keeping and insurance purposes, their actual clinical concepts and practices reflect more inferential, subjective, and intuitive processes. Interweaving illustrative case examples with theoretical insights and clinically significant research, chapters cover assessment of client temperament, developmental issues, defenses, affects, identifications, relational patterns, self-esteem needs, and pathogenic beliefs.Winner--Gradiva Award, National Association for the Advancement of PsychoanalysisTrade ReviewBooks by Nancy McWilliams used in unison make the best psychodynamic resources I have yet encountered in more than 60 years in the field.--Robert C. Lane, PhD, Department of Psychology, Nova Southeastern UniversityThis beautifully written, uniquely accessible guide to the psychoanalytic understanding of clinical cases will be of immense value to students and practitioners of all theoretical persuasions. I predict it will be among the most important and widely used books in this field for years to come. --George E. Atwood, PhD, Professor of Psychology, Rutgers University, New Brunswick, New JerseyPsychoanalytic Case Formulation is a worthy successor to Psychoanalytic Diagnosis. Nancy McWilliams has a pellucid writing style that brings complex concepts within the easy grasp of the reader. She has produced a book that is intelligently psychoanalytic without being restricted to any single vision of psychoanalysis. The critical concepts are developed well and the issues important to assessment--a concept that goes well beyond diagnosis--are explicated clearly and helpfully. This is a rare book that can serve as a text for beginning students and still has much to offer to accomplished professionals. --George Stricker, PhD, The Derner Institute, Adelphi University, Garden City, NY -Table of ContentsIntroduction1. The Relationship between Case Formulation and Psychotherapy2. Orientation to Interviewing3. Assessing What Cannot Be Changed4. Assessing Developmental Issues5. Assessing Defense6. Assessing Affects7. Assessing Identifications8. Assessing Relational Patterns9. Assessing Self-Esteem10. Assessing Pathogenic BeliefsConcluding Comments

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Book SynopsisThis book will help readers understand the practice of qualitative research--whether they want to do it, teach it, or just learn about it. All the major research phases are encompassed (startup, design, data collection, analysis, and composing), including newly emerging trends. Numerous easy-to-read vignettes show how other scholars have successfully implemented specific procedures. Equally distinctive, the book presents qualitative research as an adaptive craft. The array of choices among different procedures and methods enables readers to customize their own studies and to accommodate different worldviews and genres. New to This Edition: *Stronger discussion of different worldviews (e.g., constructivism, postpositivism, and pragmatism) and how they relate to different methodological choices. *Clearer emphasis on doing a generalized qualitative study, while acknowledging 12 specialized genres (e.g., action-based research, arts-based research, autoethnography, groundTrade Review"With remarkable breadth of coverage, this is an excellent guide for both beginning and advanced students working their way through field-based projects. Practical in approach and documented with countless examples, the book covers everything from dealing with institutional review boards and preparing a pilot study to producing analytical generalizations, assessing rival explanations, and managing reviewer feedback. Few books cover so many aspects of the qualitative research process with such clarity, insight, and common sense. Yin has produced an impressive handbook that students and instructors will return to again and again."--Mario Luis Small, PhD, Grafstein Family Professor of Sociology, Harvard University "Written from a practical, inductive, and adaptive perspective, this text offers the best blend of scholarly examples and commonsense advice that I've seen. It is highly readable and the definitions and explanations are very easy to follow. The preview boxes, bullet points, and quick study boxes make it easy to find what you need. I really like the research vignettes and the extended sample study. The end-of-chapter exercises are excellent; I would assign many of them."--Michelle C. Bligh, PhD, Division of Behavioral and Organizational Sciences, Claremont Graduate University "With impressive content and coverage, this book offers 'nuts-and-bolts' guidance for conducting qualitative inquiry. The book emphasizes that qualitative researchers need to be practical, inductive, and adaptive, and offers compelling illustrations of these three principles in action. Yin is particularly adroit at showing the value of qualitative approaches for conducting evaluation research. The book is amply illustrated, with plenty of exercises to familiarize students with the practices described. This text will be useful for a wide variety of researchers, from advanced undergraduates to graduate students in such disciplines as nursing, public health, and social policy."--James A. Holstein, PhD, Department of Social and Cultural Sciences, Marquette University "Yin presents the basics of qualitative research in a clear, methodical manner that provides a basis for discussion and exploration in a course. Vignettes throughout the book give students a deeper understanding of the topics discussed. I appreciate the interdisciplinary nature of the vignettes, which are not wed to any one field. An additional strength is the discussion of ethics and the role of the institutional review board."--Penny A. Pasque, PhD, Department of Educational Leadership and Policy Studies, University of Oklahoma "This book's inductive, 'learn-by-doing' approach is the best way to learn how to do qualitative research. It is chock full of practical tips and suggestions, presented in an understandable, jargon-free format. Our introductory qualitative research methods class requires pilot studies, which makes the text a perfect fit. The sections on analyzing, interpreting, and writing up data are superb, and detailed enough for use in an advanced qualitative data analysis class."--Lance D. Fusarelli, PhD, Department of Leadership, Policy, and Adult and Higher Education, North Carolina State University "The pedagogical features are well constructed, and the examples bring a real-world focus to qualitative research. This is the approach that I try to use in my courses, as most of my students are going to be administrators or policy analysts, not academics."--Miriam Levitt, PhD, Faculty of Social Sciences, University of Ottawa, Canada "This text is very practical and gives a solid overview of the qualitative process. The book's organization enables students to easily follow along as they conduct their own research projects. The descriptions of different types of data collection are especially strong, and the level of detail regarding interviewing and field observations will be beneficial for students who are new to field research. Yin encourages students to remain self-reflective throughout the research process--something that other texts keep on the periphery."--Brandi Lawless, PhD, Department of Communication Studies, University of San Francisco -I recommend this book for teaching and conducting qualitative research. It would be possible to follow Dr. Yin's suggestions using the end-of-chapter exercises to develop a course for one or two semesters….This book would be a great help for busy professors.--Family and Consumer Sciences Research Journal, 3/1/2016ƒƒAn exciting addition to the list of sources available for the new researcher....Within [his] linear, clear sequencing, Yin offered multiple options and reasons for choosing certain options (or choosing other options), encouraging researchers to do the same. The writing style was clear, concise and not jargon-loaded, which also might appeal to the novice researcher….I connected with Yin's work as a researcher and as a teacher.(on the first edition)--The Qualitative Report, 12/31/2014Table of ContentsI. Understanding Qualitative Research 1. What Is Qualitative Research--and Why Might You Consider Doing Such Research? 2. Getting Ready to Do Qualitative Research 3. How to Start a Qualitative Research Study II. Doing Qualitative Research 4. Choices in Designing Qualitative Research Studies 5. Doing Fieldwork 6. Data Collection Methods 7. Recording Data 8. Analyzing Qualitative Data, I: Compiling, Disassembling, and Reassembling 9. Analyzing Qualitative Data, II: Intepreting and Concluding III. Presenting the Results from Qualitative Research 10. Displaying Qualitative Data 11. Composing Research, to Share It with Others IV. Taking Qualitative Research One Step Further 12. Broadening the Challenge of Doing Qualitative Research Appendix A. Illustrative Study Bank Appendix B. Two Levels of Data Collection Units in Illustrative Qualitative Studies Cited in This Book Appendix C. A Semester- or Year-Long Project A Glossary of Special Terms Used in Qualitative Research

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Book SynopsisFollowing in the steps of the first edition, Functional Analytic Psychotherapy: Distinctive Features, 2nd Edition, provides a history, context, and building blocks for a behavior therapist to incorporate Functional Analytic Psychotherapy (FAP) into their work.This new volume updates material based upon research that has occurred since the first edition, as well as philosophical and theoretical shifts in behavior therapy, such as an emphasis on FAP as a process-based therapy. Each FAP principle is presented in terms of its intended purpose and is clearly linked to the underlying theory, providing clinicians with a straightforward guide for when and how to apply each technique. Practical tips have been added to aid in case conceptualization and the integration of a FAP framework into other process-based, behavioral conceptualizations. The added breadth and depth also emphasize FAPâs unique role in meeting the needs of diverse and marginalized people and applying FAP acro

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Book SynopsisProvides a practical introduction to phenomenological theory, research and methods. This work moves from descriptive through to interpretative phenomenological methods to enable the reader to learn to use the main approaches to phenomenological psychology, and to understand the similarities and differences between the different approaches.Table of Contents1. Phenomenological Psychology in Context 2. Fundamentals of Phenomenology 3. Existentialism and Phenomenology 4. The Hermeneutic Turn 5. Staking out the Territory 6. A Focus on the Things Themselves: descriptive phenomenology 7. Interpretation and Meaning: IPA, hermeneutic phenomenology and template analysis 8. Narrating the Lifeworld: critical narrative analysis 9. Key Issues, Debates and Rebuttals

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Book SynopsisA new eye-opener on how we can make better decisions—by the author of Gut FeelingsIn this age of big data we often trust that expert analysis—whether it’s about next year’s stock market or a person’s risk of getting cancer—is accurate. But, as risk expert Gerd Gigerenzer reveals in his latest book, Risk Savvy, most of us, including doctors, lawyers, and financial advisors, often misunderstand statistics, leaving us misinformed and vulnerable to exploitation.Yet there’s hope. In Risk Savvy, Gigerenzer gives us an essential guide to the science of good decision making, showing how ordinary people can make better decisions for their money, their health, and their families. Here, Gigerenzer delivers the surprising conclusion that the best results often come from considering less information and listening to your gut.

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Book SynopsisA study which argues against reductionist accounts of human cognition and proposes a sociocultural perspective, moving beyond the isolated individual. The author claims that, in many human endeavours, the outcomes we are interested in are not determined by the information processing ability of the individual, but by forces in the environment.Trade Review'...With his usual clear prose and effective balance of theory and experimental evidence, Wertsch argues that neither social nor biological reductionism is the proper methodological stance...Wetsch nicely shows how many school failures result from mismatches in speech genre between the child and the school.' * William J Frawley, Dept. of Linguistics, Univ. of Delaware. *'This is a fascinating book and highly stimulating to read...a challenging book...this intriguing book should be read by anyone with a serious interest in the relationship between mind and sociocultural setting.' * Professor Martyn Barrett, Dept of Psychology, University of Surrey, for The Psychologist *Table of Contents1. The task of sociocultural analysis ; Translation at the crossroads ; Multiple perspectives on human action ; Methodological individualism in the copyright age ; 2. Properties of mediated action ; Mediated action is characterized by an irreducible tension between agent and mediational means ; Mediational means are material ; Mediated action typically has multiple simultaneous goals ; Mediated action is situated in one orf more developmental paths ; Mediational means constrain as well as enable action ; New mediational means transform mediated action ; The relationship of agents toward mediational means can be characterized in terms of mastery: Internalization as mastery ; The relationship of agents toard mediational means can be characterized in terms of appropriation: Internalization as appropriation ; Mediational means are often produced for reasons other than to facilitate mediated action ; Mediational means are associated with power and authority ; Narrative as a cultural tool for representing the past ; Representing the past: Cultural tools and their uses ; Historical texts as cultural tools ; Mastering texts about the origins of the U.S.: Knowing too little ; Mastering texts about the origins of the U.S.: Knowing too much ; Events ; Theme ; The construction of main characters ; Frequency of mention ; Patterns of agency ; Patterns of presupposed presence ; The irreducible tension between cultural tool and agent in generating historical texts ; The mastery and appropriation of narratives as mediational means for representing the past ; 4. Mediated action in social space ; Intersubjectivity and alterity in social interaction ; Intersubjectivity and laterity in studies of intermental; functioning ; Harnessing intersubjectivity and alterity in instructional discourse ; Reciprocal teaching as an alternative form of instructional discourse ; 5. Appropriation and resistance ; Appropriation and resistance: The official Soviet history of Estonia ; Tactics of consumption and forms of resistance ; Strategies of consumption and forms of resistance: ; Official and unofficial history ; Summary ; Appropriation and resistance: Cultural stereotypes ; The "Microdynamics" of appropriation and resistance ; Stereotype threat and appropriation ; 6. Mind as mediated action: An Epilogue

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Book SynopsisOral tradition is important in many fields of study such as psychology, anthropology, linguistics, folklore studies, history and the classics. This book combines the methods and theories of cognitive psychology with the study of oral traditions to test and expand the ideas of both. It is the first book on oral tradition from an author with professional knowledge of human memory and cognition. Easy to read, and in a jargon-free style, this book will appeal to a wide range of academics and graduate students from various disciplines.Trade Review"Rubin writes clearly and has organized a mass of material, presenting it both minutely and conceptually. Cognitive psychologists and those who work in relevant specialized areas will find the book of interest..." -- A Journal of Reviews and Commentary in Mental Health "This is a challenging, interdisciplinary book that promises to have a ripple effect far beyond its home discipline of cognitive psychology....It has enormous implications for the more than one hundred oral traditions that have received specialist treatment over the past few decades, as well as for literary studies, folklore, and anthropology more generally. Dr. Rubin has brought cognitive psychology into a wholly unprecedented dialogue with studies in oral tradition. The result is a truly new perspective on memory and the processes of oral tradition that reinterprets the work of Milman Perry, Albert Lord, and others in an extremely productive way. Not only does Rubin make the psychological view understandable for the layperson, but he manages to reprise the Parry-Lord research in just as clear and up-to-date a manner." --John Miles Foley, William H. Byler Distinguished Professor of English and Classical Studies, University of Missouri "This is a great book. Not just 'important' or 'fascinating' but great; a very Parthenon of a book."--Roger Brown, John Lindsley Professor of Psychology in Memory of William James, Harvard University "Filled with fascinating and important insights about how memory really works in the field....This work dramatically enhanced my understanding of 'knowledge in the world'." --Donald A. Norman, Apple Computer, Inc., and University of California, San Diego (Emeritus) "The beauty of interdisciplinary scholarship is the possibility of novel contributions that enrich both fields. Rubin's merger of cognitive psychology and oral history clarifies and advances knowledge in both areas. . .stands on its own while inviting continued examination of other oral transmissions such as humor and urban legends." --Choice "This book is a landmark contribution for both scientists and scholars. Rubin has effectively integrated methods and insights from cognitive psychology, discourse processing, neuroscience, folklore, the classics, linguistics, and rhetoric. For those in the field of discourse processing, no other book has a more comprehensive coverage of the research on the representation and memory of oral discourse. For those in the humanities, it serves as an illuminating guide on how to apply informative quantitative analyses to discourse excerpts, including those that evolve over hundreds of years. For those in the rigorous scientific circles of memory research, it is a creative, colorful departure from some of the tedious memory paradigms that have flooded our journals and laboratories during the last four decades. This book will capture the imaginations of the new students of memory."--Arthur C. Graesser in Contemporary Psychology "David Rubin's book. . .provides an outstanding example of how more than a decade of memory studies, both inside and outside the laboratory, can be used to enrich our understanding of "ordinary" feats of memory. . . . Rubin is able to present a unique and useful perspective on basic processes that contribute to the power of human memory. In sum, this book is a capstone work that constitutes a successful attempt to link two previously unconnected areas of research: cognitive psychology and oral traditions." --American Journal of Psychology "Memory in Oral Traditions is an original tour de force....Rubin is able to present us with fascinating, new perspectives on classical subjects as well as the inner workings of human memory." --The General Psychologist "Rubin writes clearly and has organized a mass of material, presenting it both minutely and conceptually. Cognitive psychologists and those who work in relevant specialized areas will find the book of interest..."--Readings "This is a challenging, interdisciplinary book that promises to have a ripple effect far beyond its home discipline of cognitive psychology....It has enormous implications for the more than one hundred oral traditions that have received specialist treatment over the past few decades, as well as for literary studies, folklore, and anthropology more generally. Dr. Rubin has brought cognitive psychology into a wholly unprecedented dialogue with studies in oral tradition. The result is a truly new perspective on memory and the processes of oral tradition that reinterprets the work of Milman Perry, Albert Lord, and others in an extremely productive way. Not only does Rubin make the psychological view understandable for the layperson, but he manages to reprise the Parry-Lord research in just as clear and up-to-date a manner." --John Miles Foley, William H. Byler Distinguished Professor of English and Classical Studies, University of Missouri "This is a great book. Not just 'important' or 'fascinating' but great; a very Parthenon of a book."--Roger Brown, John Lindsley Professor of Psychology in Memory of William James, Harvard University "Filled with fascinating and important insights about how memory really works in the field....This work dramatically enhanced my understanding of 'knowledge in the world'." --Donald A. Norman, Apple Computer, Inc., and University of California, San Diego (Emeritus) "The beauty of interdisciplinary scholarship is the possibility of novel contributions that enrich both fields. Rubin's merger of cognitive psychology and oral history clarifies and advances knowledge in both areas. . .stands on its own while inviting continued examination of other oral transmissions such as humor and urban legends." --Choice "This is an impressive and unique book. It is an intensive study of oral memory traditions by a cognitive psychologist. There is nothing like it in print and it is unlikely that it will be superseded in the foreseeable future. . . . First, for psychologists, it is a review of the literature from the humanities on the history and structure of oral traditions. Second, for humanists, it is a review of the literature from cognitive psychology on memory and text representation. Third, it is a research monograph reporting a series of studies on memory for oral texts. . . . Psychologists teaching an undergraduate course on memory will find that the literature on oral traditions in this book can provide much interesting lecture material. . . . One hopes that the success of this interdisciplinary and ecological study will mean that the next generation of experimental psychologists will feel freer to adopt this approach to the study of human memory."--William F. Brewer in Contemporary Psychology "Rubin writes clearly and has organized a mass of material, presenting it both minutely and conceptually. Cognitive psychologists and those who work in relevant specialized areas will find the book of interest..." -- A Journal of Reviews and Commentary in Mental Health "Rubin's Memory in Oral Traditions is a landmark book, summing up and refining a whole tradition of empirical work on memory in cognitive psychology, and presenting to literary scholars one of the most compelling cases to date for the relevance of cognitive neuroscience to the study of poetic and narrative forms. . . . There is much in this book to stimulate and challenge literary scholars: its cognitive and evolutionary models of narrative and poetic forms and conventions, its engagement with neuroanatomy and physiology, its potentially revolutionary understanding of oral poetry in terms of an embodied brain-mind in a physical as well as social environment. As a carefully researched, deftly argued, and nonreductive example of how cognitive psychology can contribute to literary understanding, Memory in Oral Traditions demonstrates how much can be gained by bringing literary studies in touch with developments in the cognitive neurosciences."--Southern Humanities ReviewTable of Contents1: Introduction 2: The Representation of Themes in Memory 3: Imagery 4: Sound 5: Combining Constraints 6: The Transmission of Oral Traditions 7: Basic Observations on Remembering 8: A Theory of Remembering for Oral Traditions 9: Epic and Formulaic Theory 10: Counting-out Rhymes 11: North Carolina Ballads 12: Discussion

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Book SynopsisThis edited volume provides both conceptual and practical information for conducting and evaluating evidence-based outcome studies. It encompasses psychotherapy research for traditional mental health disorders (eg. depression, anxiety), as well as psychosocial-based treatments provided to medical patient populations to have impact either on the disease process itself (pain, cardiovascular risk) or to improve the quality of life of such individuals. This is a hands-on book, whose major emphasis is on the practical nuts-and-bolts implementation of psychosocial-based RCTs from conception to completion.Trade Review"For those who have wanted to update their familiarity with how contemporary research is conducted, how data are analyzed, and how the ethical concerns posed by research are addressed, there have been few readable texts and certainly few convenient ways to access this knowledge. Enter this excellent book by Nezu and Nezu...This volume is strongly recommended for persons who will be part of any research endeavor, those wishing to be more knowledgeable consumers of published research, and persons who want to update their knowledge of research methods."--Psychiatric Services "For those who have wanted to update their familiarity with how contemporary research is conducted, how data are analyzed, and how the ethical concerns posed by research are addressed, there have been few readable texts and certainly few convenient ways to access this knowledge. Enter this excellent book by Nezu and Nezu...This volume is strongly recommended for persons who will be part of any research endeavor, those wishing to be more knowledgeable consumers of published research, and persons who want to update their knowledge of research methods."--Psychiatric ServicesTable of ContentsSECTION I: CONCEPTUAL ISSUES; SECTION II: ASSESSMENT ISSUES; SECTION IV. DATA ANALYSIS ISSUES; SECTION V. SPECIAL TOPICS

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Book SynopsisDialogic methodology is a specific approach to research that invites creative engagement with plural voices and their meanings in lived experience. It draws from the writings of Russian philosopher Mikhail Bakhtin who established an agenda for the study of dialogue. In Dialogic Methodology for Transdisciplinary Practice-Based Research, E. Jayne White and Mahtab Janfada introduce the premises, processes, and practices of dialogic methodology as a legitimised approach to the transdisciplinary study of practice. Drawing on a series of Bakhtin''s original writings and dynamic interviews from dialogic scholars across the globe, the authors advocate approaches to research that invite speculative inquiry and even question the original assertions that oriented the issue in the first place. As White and Janfada set out an alternative pathway for scholars and students to contemplate the relevance of dialogism for their research, they offer an expansive possibility for contemplating issues, parad

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Book SynopsisUnderstanding Quantitative and Qualitative Research in Psychology is the most hands-on, accessible and approachable guide to the entire research process, which fully explores both quantitative and qualitative methods to give students the knowledge and confidence they need. Students are presented with a practically-focused guide to carrying out psychological research and are taken from formulating a research question through to collecting data, analysing datasets statistically with SPSS or qualitatively with a range of approaches, and finally presenting and thinking critically about research findings. They are shown the importance of research ethics, and coverage of the replication crisis and the open science movement is considered throughout. The online resources present a wealth of opportunities for students to practice what they have learned, and the title is supported by an excellent range of video support materials for both the qualitative and quantitative sections, including SPSS Trade ReviewFeels like having a friend at your side guiding you through the process! * Dr Maxine Woolhouse, Leeds Beckett University *Brilliant when it comes to using everyday language to explain complicated topics in such a simple way...The authors are masters of this subject, but they are relating to the students and explaining things on a level which students can easily follow and understand. * Kerem Soylemez, Regent's University London *The authors understand what it's like to be new to learning about research methods and statistics in Psychology. They never talk down to the reader and their enthusiasm is evident. * Dr Sandra O'Brien, University of Limerick *Easy to read, engaging with lots of diagrams and screenshots... A useful book that covers everything we want our students to learn. * Dr Saima Noreen, De Montfort University *I can't think of a book that covers both quantitative and qualitative techniques and research methods to the same level as this book does. * Dr Fraser Milton, University of Exeter *Table of ContentsDesigning psychological research 1: The basics of research design 2: Questionnaire design 3: Analysing data for psychological research 4: Introducing SPSS Experimental approaches in psychological research 5: Experimental design 6: t tests 7: One-way independent measures ANOVA 8: One-way repeated measures ANOVA 9: ANCOVA 10: Two-way factorial independent ANOVA 11: Two-way factorial repeated ANOVA 12: Two-way factorial mixed design ANOVA 13: Presenting experimental studies Correlational approaches in psychological research 14: Correlational design 15: Correlations 16: Multiple regression 17: Hierarchical regression 18: Logistic regression 19: Factor analysis 20: Presenting correlational studies Qualitative approaches in psychological research 21: Qualitative design 22: Designing interviews and focus groups 23: Content analysis and thematic analysis 24: Grounded theory 25: Interpretative Phenomenological Analysis 26: Samuel Fairlamb: Discourse analysis 27: Presenting qualitative studies Next steps in psychological research 28: How do I decide what to do with my data? 29: Mixed methods 30: Broadening your research horizons

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Book SynopsisThe most practical guide to completing your research project, where straightforward, student-centred advice is quickly found and easily applied.The Psychology Project Manual supports students through the whole of the empirical project. It is a practical guide addressing common challenges that students face when undertaking the project. Students can quickly and easily find the answer to a question they have. The authors'' approachable writing style also provides information that is direct and straightforward. The manual takes a student-centred approach by incorporating the student voice. In each chapter there are smart solutions, which are challenges that students encountered when conducting their project and detail how they solved or dealt with those challenges. There is also a handy hints feature, which includes advice from students about aspects of the project. In addition, Future focus boxes identify links between students'' research project experience and their future plans. This tTable of Contents1: Starting your research project 2: Managing yourself 3: Working with your supervisor 4: Choosing your method 5: Conducting your research ethically 6: Working with participants 7: The Report 8: Presenting your project 9: Employability and your project

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Book SynopsisDialogues for Discovery: Improving Psychotherapy''s Effectiveness teaches psychotherapists of all modalities how to help their clients make more frequent and higher quality discoveries in every therapy session. Detailed therapist-client dialogues in each chapter illustrate the client-centered and collaborative 4-Stage Model of Socratic Dialogue, as well as other guided discovery approaches such as behavioural experiments, imagery exercises, and role plays. Guidelines for expert use of Socratic dialogue are highlighted to help therapists avoid common therapy traps that frequently derail therapy progress, as well as effective strategies for navigating and overcoming them.Chapters are written by international experts on each topic and each includes guiding principles to help therapy stay on track, summarized in Keep in Mind boxes. Reader Learning Activities at the end of each chapter suggest a variety of ways to tailor the skills taught to one''s own therapy / supervision practice or clasTrade ReviewA terrific book, the fruit of both editors' years of deepening understanding, innovative clinical practice, self-reflection and growing expertise. Similar expertise illuminates chapters by CBT specialists addressing specific client groups and problems. Lively and engaging, the text skillfully embodies the curiosity, empathy, respect and collaboration at the heart of this approach. And readers can join this journey, using chapter by chapter learning activities and reflection sheets. A truly significant addition to the literature on the process of effective learning in psychotherapy. * Melanie Fennell, Ph.D., Former Director of the Oxford Diploma and MSc in CBT and Co-Director of the Oxford MSt in Mindfulness-Based Cognitive Therapy *Helping people gain insights into the nature of their minds and its different brain states is common to psychotherapies, but it is no easy task. In their exciting new book international world leading cognitive therapists bring their extensive experience together to guide the reader through the use of Socratic forms of dialogue to support those therapeutic aims. The book is full of signposts of opportunities as well as roadblocks and potential traps and how to deal with them. In addition to revelation, the approach illustrated helps clients discover inner strengths and meanings. Accessible, clearly written and full of fascinating clinical insights, tips and guides, this will become a much valued book for experienced and new therapists alike regardless of their school of therapy. * Professor Paul Gilbert, OBE, Founder of Compassion Focused Therapy *Although the use of Socratic dialogue and guided discovery have long been encouraged in psychotherapy, it is only in the last decade or so that enough data has gathered to give clear clinical guidance about their use. Dialogues for Discovery is an exceptional resource for therapists seeking to guide their clients towards discovery and hope. This book provides practical guidance and strategies for managing common therapy impasses and dilemmas, such as low client motivation, inflexible beliefs, and alliance ruptures. It is a clinically sophisticated guide that is grounded in empirical evidence and theoretical knowledge. * Steven C. Hayes, Ph.D., Emeritus Professor of Psychology, University of Nevada, Reno, Originator of Acceptance and Commitment Therapy *Rarely are psychotherapists given a gift consisting of a combination of scholarship, clinical acumen and practical user friendly teaching clinical case vignettes. Kudos to Christine Padesky and Helen Kennerley and their clinically astute colleagues for demonstrating how to use Socratic Dialogue and guided discovery procedures in psychotherapy. This book should be read, studied and implemented by all health care providers. * Donald Meichenbaum, Ph.D., Research Director of the Melissa Institute for Violence Prevention, Miami FL *Dialogues for Discovery is revolutionary. It presents a model that will resonate with therapists from all schools of therapy who want to ask more effective questions and listen/respond to client answers in ways that will help clients make active discoveries in therapy. Amply illustrated with case examples and pragmatic guidance, Padesky and Kennerley show us how placing curiosity and collaboration at the forefront of the therapeutic encounter leads to whole shifts in perspective rather than merely changing someone's mind. * Zindel Segal, Ph.D., Distinguished Professor of Psychology in Mood Disorders, University of Toronto, Co-Founder, Mindfulness-Based Cognitive Therapy *Dialogues for Discovery-improving psychotherapy's effectiveness is a book about guided discovery using Socratic dialogue in psychotherapy and supervision... This book is particularly appealing, because of the number of clinical illustrations provided. These show in detail how Socratic dialogue can be developed so that it can both help the client and be adjusted to our personal style. Reading the book it is both apparent and inspiring that each author has their own personal style. They all describe case examples using their own "Therapist's voice" and we learn that there are so many variations and ways to develop the Socratic dialogue to make it one's own....I am pleased to have this book on my bookshelf and will return to it and learn more as I meet new challenges. * Anna Törnquist *Table of Contents1: Christine A Padesky and Helen Kennerley: Dialogues for Discovery: What? Why? When? 2: Christine A Padesky: The 4-Stage Model of Socratic Dialogue 3: Marjorie E Weishaar: Guided Discovery for Depression and Suicide 4: Gillian Butler & Freda McManus: Guided Discovery with Anxiety 5: Christine A Padesky & Emily Holmes: Imagery: The Language of Emotion 6: Helen Kennerley & Christine A Padesky: Inflexible Beliefs 7: Helen Kennerley: Impulsive and Compulsive Behaviors 8: Stirling Moorey: Guided Discovery with Adversity 9: Robert D Friedberg: Chasing Janus: Socratic Dialogue with Children and Adolescents 10: James L Shenk: Socratic Dialogue in Group Therapy 11: Helen Kennerley & Christine A Padesky: Supervision and Therapist Beliefs 12: Christine A Padesky: Dialogues for Discovery: What Next?

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Book SynopsisTrade Review"I like the order in which the topics are presented. The order is the same way that I would choose if I were writing a text myself." - Kathleen Denson, Texas A&M Commerce "Aron et al. strives to make statistical concepts accessible to students who may not have a background or interests in math." - Brock Kirwan, Brigham Young University "This text is at a level that I would feel comfortable assigning to my intro stats students." - Osvaldo Morera, University of Texas at El Paso "I like that [the text] introduced students to more complex techniques in an effort to help them to understand the articles that they are reading with more complex statistics in them" -Stacey Williams, East Tennessee State University ".The Level of writing is it's strongest assets. Very clear step by step instructions. The level of writing is very appropriate to my students" -Stephen Armeli, Farleigh Dickinson "High-level, clear, comprehensive. The book is effective at helping students understand the material" - Kristin Lane, Bard CollegeTable of Contents In this Section: Brief Table of Contents Full Table of Contents 1. BRIEF TABLE OF CONTENTS Chapter 1 Displaying the order in a group of numbers Chapter 2 Central tendency and variability Chapter 3 Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability Chapter 4 Introduction to hypothesis testing Chapter 5 Hypothesis testing with means of samples Chapter 6 Making sense of statistical significance: Effect size and statistical power Chapter 7 Introduction to the t test: Single sample and dependent means Chapter 8 The t test for independent means Chapter 9 Introduction to the analysis of variance Chapter 10 Factorial analysis of variance Chapter 11 Correlation Chapter 12 Prediction Chapter 13 Chi-square tests Chapter 14 Strategies when population distributions are not normal: Data transformations and rank-order tests Chapter 15 Integration and the general linear model and Making sense of advanced statistical procedures in research articles 2. FULL TABLE OF CONTENTS Chapter 1: Displaying the order in a group of numbers The Two Branches of Statistical Methods Some Basic Concepts Frequency Tables Histograms Shapes of Frequency Distributions Controversy: Misleading Graphs Frequency Tables and Histograms in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 2: Central tendency and variability Central Tendency Variability Controversy: The Tyranny of the Mean Central Tendency and Variability in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 3: Some key ingredients for inferential statistics: Z scores, the normal curve, sample versus population, and probability Z Scores The Normal Curve Sample and Population Probability Controversies: Is the Normal Curve Really So Normal? And Using Nonrandom Samples Z Scores, Normal Curves, Samples and Populations, and Probabilities in Research Articles Advanced Topics: Probability Rules and Conditional Probabilities Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 4: Introduction to hypothesis testing A Hypothesis-Testing Example The Core Logic of Hypothesis Testing The Hypothesis-Testing Process One-Tailed and Two-Tailed Hypothesis Tests Controversy: Should Significance Tests Be Banned? Hypothesis Tests in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 5: Hypothesis testing with means of samples The Distribution of Means Hypothesis Testing with a Distribution of Means: The Z Test Controversy: Marginal Significance Hypothesis Tests About Means of Samples (Z Tests) and Standards Errors in Research Articles Advanced Topic: Estimation, Standard Errors, and Confidence Intervals Advanced Topic Controversy: Confidence Intervals versus Significance Tests Advance Topic: Confidence Intervals in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 6: Making sense of statistical significance: Effect size and statistical power Decision Errors Effect Size Statistical Power What Determines the Power of Study The Role of Power Interpreting the Results of a Study Controversy: Statistical Significance versus Effect Size Decision Errors, Effect Size, and Power in Research Articles Advanced Topics; Figuring Statistical Power Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 7: Introduction to the t test: Single sample and dependent means The t Test for a Single Sample The t Test for Dependent Means Assumptions of the t Test for a Single Sample and the t Test for Dependent Means Controversy: Advantages and Disadvantages of Repeated-Measures Designs Single Sample t Tests and Dependent Means t Tests in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 8: The t test for independent means The Distribution of Differences Between Means Hypothesis Testing with a t Test for Independent Means Assumptions of the t Test for Independent Means Effect Size and Power for the t Test for Independent Means Review and Comparison of the Three Kinds of t Tests The t Test for Independent Means in Research Articles Advanced Topic: Power for the t Test for Independent Means When Sample Sizes Are Not Equal Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 9: Introduction to the analysis of variance Basic Logic of the Analysis of Variance Carrying Out an Analysis of Variance Hypothesis Testing with the Analysis of Variance Assumptions in the Analysis of Variance Planned Contrasts Post Hoc Comparisons Effect Size and Power for the Analysis of Variance Controversy: Omnibus Tests versus Planned Contrasts Analyses of Variance in Research Articles Advanced Topic: The Structural Model in the Analysis of Variance Principles of the Structural Model Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 10: Factorial analysis of variance Basic Logic of Factorial Designs and Interaction Effects Recognizing and Interpreting Interaction Effect Basic Logic of the Two-Way Analysis of Variance Assumptions in the Factorial Analysis of Variance Extensions and Special Cases of the Analysis of Variance Controversy: Dichotomizing Numeric Variables Factorial Analysis of Variance in Research Articles Advanced Topic: Figuring a Two-Way Analysis of Variance Advanced Topic: Power and Effect Size in the Factorial Analysis of Variance Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 11: Correlation Graphing Correlations: The Scatter Diagram Patterns in Correlation The Correlation Coefficient Significance of a Correlation Coefficient Correlation and Causality Issues in Interpreting the Correlation Coefficient Effect Size and Power for the Correlation Coefficient Controversy: What is a Large Correlation? Correlation in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 12: Prediction Predictor (X) and Criterion (Y) Variables The Linear Prediction Rule The Regression Line Finding the Best Linear Prediction Rule The Least Squared Error Principle Issues in Prediction Multiple Regression Limitations of Prediction Controversy: Unstandardized and Standardized Regression Coefficients; Comparing Predictors Prediction in Research Articles Advanced Topic: Error and Proportionate Reduction in Error Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 13: Chi-square tests The Chi-Square Statistic and the Chi-Square Test for Goodness of Fit The Chi-Square Test for Independence Assumptions for Chi-Square Tests Effect Size and Power for Chi-Tests for Independence Controversy: The Minimum Expected Frequency Chi-Square Tests in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 14: Strategies when population distributions are not normal: Data transformations and rank-order tests Assumptions in the Standard Hypothesis-Testing Procedures Data Transformations Rank-Order Tests Comparison of Methods Controversy: Computer-Intensive Methods Data Transformations and Rank-Order Tests in Research Articles Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note Chapter 15: Integration and the general linear model and Making sense of advanced statistical procedures in research articles The General Linear Partial Correlation Reliability Multilevel Modeling Factor Analysis Casual Modeling Procedures That Compare Groups Analysis of Covariance (ANCOVA) Multivariate Analysis of Variance (MANOVA) and Multivariate Analysis of Covariance (MANCOVA) Overview of Statistical Techniques Controversy: Should Statistics Be Controversial? How to Read Results Using Unfamiliar Statistical Techniques Summary Key Terms Example Worked-Out Problems Practice Problems Using SPSS Chapter Note

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Book SynopsisDeals with the complexities of human behavioral research, a domain still dominated by the age-old debate of nature versus nurture. The author dissects five approaches to the study of behavior - quantitative behavioral genetics, molecular behavior genetics, developmental psychology, neurophysiology and anatomy, and social/environmental methods.Trade Review"Helen E. Longino presents many insights about different general methods, assumptions, research goals, and the importance of definitions in researching behavior. I know of no other book that covers such diverse approaches." (Peter Machamer, University of Pittsburgh)"

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Book SynopsisSTEPHEN JONESis Senior Lecturer in the Department of Psychology at the University of the West of England, UK,where he has been teaching Experimental Psychology, Research Methods and Statistics for the past ten years. He is a Chartered Psychologist, Chartered Scientist, Associate Fellow of the British Psychological Society and a Fellow of the Higher Education Academy.

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Book SynopsisIAN WALKER is Lecturer in Psychology and Director of Studies for Master of Research at the University of Bath, UK, and is co-author of Research with People (Palgrave Macmillan, 2009).

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Book SynopsisThe sociologist Jason Schnittker looks at the multiple actors involved in crafting the DSM and the many interests that the manual hopes to serve. The Diagnostic System urges us to become comfortable with the socially constructed nature of categorization and accept that a perfect taxonomy of mental-health disorders will remain elusive.Trade ReviewThe particular strength of this very well-written critique of psychiatric diagnosis is to examine how the DSM has a variety of constituencies—clinicians, researchers, patients, and the general public—that each has its own way of approaching the manual. -- Allan Horwitz, Board of Governors Professor of Sociology, Rutgers UniversityIn an area too often marked by advocacy and polemic, The Diagnostic System provides a well-informed, judicious, and, in fact, invaluable guide to a complex body of scholarship and controversy. Perhaps most important, it addresses those complex interrelationships between individual experience and the social, cultural, and institutional circumstances that in part constitute that experience. It is an important book on a foundational if elusive set of questions. -- Charles E. Rosenberg, professor of the history of science and medicine and the Ernest E. Monrad Professor in the Social Sciences, Harvard UniversitySober, clear, and even-handed, The Diagnostic System is an indispensable work. * Contemporary Sociology *A fluent, incisive, and eminently useful account of the classificatory system that informs clinical practice and research in American psychiatry today. * American Journal of Sociology *This book brings to light the difficult task of diagnosing psychiatric disorders with accuracy, reliability, and validity. Recommended. * Choice *Table of ContentsAcknowledgments1. The Contested Ontology of Psychiatric Disorders2. What Diagnoses Are: DSM-III and the Form of Contemporary Psychiatric Diagnoses3. DSM-III and the Descriptive Science of Psychiatric Disorders4. Rethinking the DSM5. How Professionals Use Diagnoses6. How the Public Uses Diagnoses7. How Scientists Use the DSM8. How Cultures Use Diagnoses9. The Contemporary Science of Psychiatric Nosology10. The Endless Search for Validity11. The Endurance of the Diagnostic SystemNotesIndex

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Book SynopsisAn engaging research methods text integrating a classic approach to conducting experiments in psychology with open science practices and values.How does a researcher run a high-quality psychology experiment? What time-tested methods should be used, and how can more robust and accurate results be achieved? A dynamic collaboration between groundbreaking cognitive scientist Michael Frank and a diverse cohort of researchers innovating in the field?Mika Braginsky, Julie Cachia, Nicholas Coles, Tom Hardwicke, Robert Hawkins, Maya Mathur, and Rondeline Williams? Experimentology introduces the art of the modern psychological experiment with an emphasis on open science values of accessibility and transparency.Experimentology follows the timeline of an experiment, with sections covering basic foundations, planning, execution, data-gathering and analysis, and reporting. Narrative examples from a range of subdisciplines, including cognitive, developmental, and social psychology, model each component and account for the pitfalls that can undermine the reliability, validity, and replicability of results. Through an embrace of open science strategies, such as data sharing and preregistration, Experimentology shows how the challenges of the replication crisis can be met constructively and collaboratively. Written for a global audience, Experimentology updates a classic research methods textbook with a new focus on ethics and the benefits of open science.

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Book SynopsisDr Andrew Mayers is Senior Lecturer in Psychology at Bournemouth UniversityTrade Review"This is a comprehensive resource of all the statistics you could ever want for degree level Psychology" - Neil Cruickshank, Budmouth College, Weymouth "Definitely my go-to statistics textbook, the perfect guide for all levels of undergraduate" - Psychology student, University of Glasgow "This book provides clear and comprehensive coverage of a wide range of statistical tests used in psychology. It will be of great value to novice and advanced researchers alike." - Dr Richard rowe, University of Sheffield "This engaging and student-centred book demystifies the challenges of statistics and SPSS for the numerically anxious student." - Dr Kate Bullen, Aberystwyth University Table of Contents1. Introduction 2. SPSS: The Basics 3. Normal Distribution 4. Significance, effect size, and power 5. Experimental methods - how to choose the correct statistical test 6. Correlation 7. Independent t-test 8. Related t-test 9. Independent one-way ANOVA 10. Repeated-measures one-way ANOVA 11. Independent multi-factorial ANOVA 12. Repeated-measures multi-factorial ANOVA 13. Mixed multi-factorial ANOVA 14. Multivariate analyses 15. Analyses of covariance 16. Linear and multiple linear regression 17. Logistic regression 18. Non-parametric tests 19. Tests for categorical variables 20. Factor analysis 21. Reliability analysis

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Book Synopsis Dominic Upton, University of Worcester Holly Andrews, University of Worcester Catherine Steele, University of Worcester Table of ContentsAcknowledgementsIntroductionGuided tourGuided tour of the companion website Chapter 1 An introduction to statistics for psychologyChapter 2 Basic conceptsChapter 3 Describing the data: distribution, averages and varianceChapter 4 Chi-square analysisChapter 5 Correlation analysisChapter 6 T-testsChapter 7 Comparing data: more than two groupsChapter 8 Multiple regression analysisChapter 9 Presenting the data: tables, figures and graphsChapter 10 Interpreting data: drawing conclusions And finally, before the exam . . . Glossary of termsReferencesIndex

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Book SynopsisDr Darren Langdridge is Head of Department of Psychology at The Open University.   Dr Gareth Hagger-Johnson is a psychologist and Senior Research Associate at University College London.Table of ContentsSection 1 – Introducing research methods 1. Starting out in research 2. Variables: definition and measurement3. Reliability, validity, sampling and groups 4. Interviews and observation 5. Questionnaires and psychometric tests6. Experimental and quasi-experimental designs 7. E-research Section 2 – Analysing quantitative data 8. Fundamentals of statistics 9. Entering and manipulating data10. Graphical representation and descriptive statistics11. Bivariate analysis 1: exploring differences between variables12. Bivariate analysis 2: exploring relationships between variables13. ANOVA14. MANOVA 15. Regression 16. Introducing R Section 3 – Analysing qualitative data 17. Fundamentals of qualitative research18. Transcribing, coding and organising textual data19. Phenomenological research methods20. Grounded theory21. Discourse analysis22. Life story and narrative research23. The use of computers in qualitative analysis 24. Mixed methods Section 4 – Reporting findings 25. Ethics and politics 26. Reporting and presenting findingsReferences

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Book SynopsisThe discovery of magnetic sleep in 1784 marked the beginning of modern psychological healing. It revealed mental activity that was not available to the conscious mind but could affect concious thought and action. This book tells the story of its discovery and its relationship to psychotherapy.

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Book Synopsis*What do advanced statistical techniques do?*When is it appropriate to use them?*How are they carried out and reported?There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book:- concise and accessible introduction to calculating and interpreting advanced statistical techniques- use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique- succinct illustration of wrTable of ContentsSeries editor’s foreword Preface 1 IntroductionPART 1Grouping quantitative variables together2 Exploratory factor analysis3 Confirmatory factor analysis4 Cluster analysisPART 2Explaining the variance of a quantitative variable5 Stepwise multiple regression6 Hierarchical multiple regressionPART 3Sequencing the relationships between three or more quantitativevariables7 Path analysis assuming no measurement error8 Path analysis accounting for measurement error PART 4Explaining the probability of a dichotomous variable 9 Binary logistic regression PART 5Testing differences between group means 10 An introduction to analysis of variance and covariance 11 Unrelated one-way analysis of covariance 12 Unrelated two-way analysis of variance PART 6Discriminating between groups 13 Discriminant analysisPART 7Analysing frequency tables with three or more qualitative variables 14 Log-linear analysis Glossary References Index

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Book Synopsis"Roberts is certainly successful in conveying a sense of the rich diversity of biographical research. This is a book based upon a formidably wide-ranging bibliography together with his own, by no means insignificant, contributions to the fieldâ[the]âreader will be left in no doubt as to the central importance of biographical research and of its legitimate position within the social sciences" - David Morgan, Emeritus Professor of Sociology, Manchester University (former President, British Sociological Association), Auto/Biography, a BSA Study Group journal, 2002."Brian Robertsâ book is a highly accessible introduction to biographical methodâThe author deftly and confidently addresses the available work in a variety of disciplines ranging from education through oral history, feminism to memoryâ I warmly recommend this book to any historian interested in biography and what its study can tell them about what they doâ. - Alun Munslow, Professor of History, Staffordshire UnTrade Review'Anyone who set out to encompass the whole of biographical research in around 200 pages faces a formidable task...Roberts is certainly successful in conveying a sense of the rich diversity of biographical research. This is a book based upon a formidably wide-ranging bibliography together with his own, by no means insignificant, contributions to the field...[the]...reader will be left in no doubt as to the central importance of biographical research and of its legitimate position within the social sciences'. - David Morgan 20020101Table of ContentsSeries editor's forewordIntroductionbiographical researchUses of biographical researchThe life historyAutobiography and biographyAuto/biography and sociologyOral historyThe narrative analysis of livesMemory and autobiographyEthnography and biographical researchConclusionReferencesIndex.

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Book SynopsisToxic Interactionsis a review of quantitative research revealing how urban living, trauma, ethnicity, stress and familial influence the risk of troubling psychotic experiences.Each of these is reviewed in search of their social implications, and a constructivist approach identifies their common threads. The contributions of newer psychotherapeutic approaches such as Open Dialogue and Recovery programmes are considered, and a consistent interpretation emerges; that is not the observable features of disturbed mental state that deserve key attention, but how these are generally understood by others, and in particular the ''client''s'' close associates.Toxic Interactions and the Social Geography of Psychosiswill be welcomed by all who find conventional approaches to mental health difficulties unsatisfactory, whether that is as a practitioner frustrated by the counter-productive expectations of their institutional setting, an academic exploring different perspTrade Review"Dr Middleton's 'Toxic Interactions: The Social Geography of Psychosis' is an inspiring addition to the wonderful ISPS book series. By focusing on adverse childhood experiences, ethnicity, migration, urban life and other social issues it becomes clear how 'toxic interpretations of disturbing mental states' are at least as problematic as those states themselves. This perspective and the focus on recovery and therapeutic relationships is a refreshing antidote to the unsubstantiated, pessimistic and stigmatising 'medical model' of human distress that until recently has been so dominant" Professor John Read, author of 'Models of Madness' and 'A Straight Talking Introduction to the Causes of Mental Health Problems'"Toxic Interactions is a clearly written, evidence-based account of the contemporary state of knowledge about the most difficult kind of mental ill-health we have, psychosis. This is an even-handed review of both neurobiological and sociological evidence in relation to the causes and distribution of this disorder, including a detailed discussion of its social distribution amongst urban, ethnic, early life, family experiences, and so forth. This 'social geography' has for too long been a peripheral focus for research, but with books like this, and efforts such as our own newly funded ESRC research on 'society and mental health', there is hope that there can be a much more balanced and productive basis for both interventions, covered here more briefly, and the humane social inclusion of those suffering from psychosis" Nick Manning, Professor of Sociology, ESRC Centre for Society and Mental Health, King's College, London."This book deserves to be widely read. The focus on the relational environment addresses important and very under-considered influences on mental health and wellbeing. The author grapples with the uncomfortable and, for psychiatry, inconvenient truth that experience of psychosis for many people is best understood not primarily as a biochemical disturbance but as arising from childhood adversity, family and life experiences, or ethnic and cultural minoritisation. His scholarly overview of the empirical evidence demonstrates the central importance of relationships, and their role in the vital recovery process of meaning-making. This book makes an original contribution of high relevance to clinical practice, and should be read by anyone wanting to understand how relationships and society, including the mental health system, can help or hinder mental health recovery" Mike Slade, Professor of Mental Health Recovery and Social Inclusion, University of Nottingham."There is growing authoritative disquiet that contemporary approaches that prioritise mental health difficulties as primarily stemming from biomedical irregularities do not stand up to closer examination. Hugh Middleton is an experienced psychiatrist and his erudite, balanced and composed writing is a most important addition to the growing literature on this most serious of contemporary matters for western society. Importantly, it points, with evidence, to a range of linked alternative understandings based on the nature of relationships at the crucial times in one's life in determining more severe mental distress. Each chapter takes a different relationship / social focus, such as adverse and favourable relations in formative years, in family life, in ethnic groups and in urban life. The most important chapter is the one on relationships between patients and their close associates with mental health service professionals and he provides convincing evidence as to the qualities of these relationships being central to outcomes. Therefore, this book highlights how a considerable shift of focus in society and in mental health services would lead to better mitigation of mental distress / disturbance. By clear implication Middleton is calling for a shift from a too exclusive medical science focus to a more inclusive social relationship science focus. This book merits very serious attention from policy makers and providers of mental health services and all others who sense that we had been barking up the wrong tree in much of our contemporary thinking about mental distress and how best to attend to it" Brain Martindale, Past President of ISPS and Honorary Member of the World Psychiatric Association. Table of ContentsIntroduction 1. Spoiled Identity 2. What are we dealing with, here? 3. Childhood adversity and troubling psychotic experiences 4. Family life 5. Ethnicity, migration, and troubling psychotic experiences 6. Living in the city 7. Life's ups and downs 8. Joining the dots... 9. What can be learned from 'What Helps'? Index

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Book SynopsisMultilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. New to this edition: An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals; Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches; <Trade Review"Developing a basic modeling strategy that researchers can follow to investigate multilevel data structures can be challenging. Heck and Thomas have once again presented a must-have reference book to get the job done. This edition’s use of four different software packages and additional easy-to-follow illustrative examples enhance what was already a superb resource for both students and researchers." – George A. Marcoulides, University of California, Santa Barbara, USA Table of ContentsPreface 1. Introduction 2. Getting Started with Multilevel Analysis 3. Multilevel Regression Models 4. Extending the Two-Level Regression Model 5. Methods for Examining Individual and Organizational Change 6. Multilevel Models with Categorical Variables 7. Multilevel Structural Equation Variables 8. Multilevel Latent Growth and Mixture Models 9. Data Consideration in Examining Multilevel Models

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Book SynopsisFocusing on the underlying themes that run through most multivariate methods, in this fully updated 3rd edition of The Essence of Multivariate Thinking Dr. Harlow shares the similarities and differences among multiple multivariate methods to help ease the understanding of the basic concepts. The book continues to highlight the main themes that run through just about every quantitative method, describing the statistical features in clear language. Analyzed examples are presented in 12 of the 15 chapters, showing when and how to use relevant multivariate methods, and how to interpret the findings both from an overarching macro- and more specific micro-level approach that includes focus on statistical tests, effect sizes and confidence intervals. This revised 3rd edition offers thoroughly revised and updated chapters to bring them in line with current information in the field, the addition of R code for all examples, continued SAS and SPSS code for seven chapters, two new chapteTrade Review"Harlow breaks down concepts in simple terms and draws insightful comparisons across different statistical techniques. The text is an excellent resource for all who conduct statistical analyses, from undergraduates to professionals, and everywhere in between."A. Nayena Blankson, Full Professor of Psychology, Spelman College, USA"Once again, Harlow writes with authority and great clarity. There’s discussion of estimation, replication, and reproducibility, and all through there’s R code and guidance. This shrewdly revised new edition is a wonderfully future-oriented guide to the multivariate world."Geoff Cumming, Professor Emeritus, La Trobe University, Melbourne, Australia "The Essence of Multivariate Thinking provides a gentle introduction to an expansive toolkit of methods with a through line focused on aptly applying them to research questions. Dr. Harlow seamlessly ties together several modeling frameworks (e.g., multiple regression, MANOVA, discriminant function analysis, logistic regression, SEM, and latent growth modeling) by emphasizing commonalities in their underlying assumptions, statistical tests, and effect size interpretations. All this was done with a clear and accessible writing style accompanied by a unifying data example using R, SAS, and SPSS."Jolynn Pek, Associate Professor of Quantitative Psychology, Ohio State University, USA "In this third edition of her landmark text on multivariate methods, readers are furnished with ways to think about a variety of multivariate techniques from start to finish: preliminary considerations, testing assumptions, conducting analyses, and writing up and interpreting the results. They will learn how the various multivariate methods are related, and when each should be used. Readers can pattern their own analyses after those used as examples in the book. Her example analyses are easy to follow and emulate.Every chapter ends by summarizing a topic around a set of core themes to help researchers understand and select appropriate multivariate methods. Professor Harlow is known for her didactic style and ability to communicate complex topics in clear, approachable language. In this third edition she adds new material on multi-sample SEM and latent growth curve models. The provision of R code for all analyses is a welcome addition. Readers will emerge knowing about a variety of multivariate methods—how they are related and distinct, when to use them, how to conduct them, and how to communicate the results to readers. Harlow has a knack for explaining complicated methods in clear, approachable language. In this revised third edition of her landmark text, she provides readers with all the tools they need to become expert users and consumers of multivariate techniques."Kristopher J. Preacher, Lois Autrey Betts Chair in Education & Human Development, Vanderbilt University, USA "Lisa Harlow's third edition of The Essence of Multivariate Thinking is the perfect textbook for introductory graduate statistics or a multivariate statistics course. Each chapter provides readers with the foundational knowledge and relevant software code to start implementing the analyses in their own work right away. Harlow's accessible chapters strike the right balance of unique information and related themes." Alyssa Counsell, Assistant Professor in Quantitative Psychology, Toronto Metropolitan University, Ontario, CanadaTable of ContentsI. OVERVIEWChapter 1: Introduction and Multivariate ThemesChapter 2: Background ThemesII. INTERMEDIATE MULTIVARIATE METHODS WITH ONE CONTINUOUS OUTCOMEChapter 3: Multiple RegressionChapter 4: Analysis of CovarianceIII. MULTIVARIATE GROUP METHODS WITH CATEGORICAL VARIABLE(S)Chapter 5. Multivariate Analysis of VarianceChapter 6: Discriminant Function AnalysisChapter 7: Logistic RegressionIV. MULTIVARIATE DIMENSIONAL METHODS WITH CONTINUOUS VARIABLESChapter 8: Principal Components and Factor AnalysisV: STRUCTURAL EQUATION MODELINGChapter 9: Structural Equation ModelingChapter 10: Path AnalysisChapter 11: Confirmatory Factor AnalysisChapter 12: Latent Variable ModelingChapter 13: Multiple Sample AnalysisChapter 14: Latent Growth ModelingVI: SUMMARYChapter 15: Integration of Multivariate Methods

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Book SynopsisSurvey Development: A Theory-Driven Mixed-Method Approach provides both an overview of standard methods and tools for developing and validating surveys and a conceptual basis for survey development that advocates establishing and testing of hypotheses pertaining to presumptions and score-interpretation and use inferences and mixing quantitative and qualitative methods.The book has 14 chapters which are divided into four parts. Part A includes six chapters that deal with theory and methodology. Part B has five chapters and it gets into the process of constructing the survey using both quantitative and qualitative methods. Part C comprises two chapters devoted to assessing the quality or psychometric properties (reliability and validity) of survey responses. Finally, the one chapter in Part D is an attempt to present a synopsis of what was covered in the previous chapters in regard to developing a survey with the TDMM framework for developing survey and conducting survTrade Review"This book is carefully written to ensure precise meaning and that it is understandable to a broad audience. In my more than three decades following survey research, no other text has addressed the topic as intimately. Although there are many books on survey research, they lack the organizing schema of being theory based. While it is easy to tell what things are or how to do them, without the basis in theory (and empirical evidence) the reader is left without the framework to understand why they are that way. Developing this understanding is what equips your audience to move beyond the specifics that are presented to address new and different challenges as they go about designing and conducting survey research and making sense of their results. This moves this book to the forefront of the many texts available." -- Steve Siera, Ph.D., former Chair, AERA SIG on Survey Research in Education, former Interim Dean and Associate Dean College of Education and Counseling Psychology, St. Martin’s University, Lacey, Washington, USA"Required reading in multi-disciplinary seminars in survey methodology and research design, the proposed Theory-Driven Mixed Method (TDMM) approach is a pragmatic, timely, and useful contribution in a fast-transforming field. Through compelling content, eclectic examples, brilliantly designed illustrations, and pithy tables, the authors draw upon their extensive experiences and passion for the subject matter. This must-have tool in researchers’ armory is a critical reminder for the need to balance survey design features and survey quality." -- Kranti (Kran) Dugar, Ph.D., Assistant Professor of Marketing, College of Business, University of Wisconsin-Eau Claire, USATable of ContentsPart A: Theory and Methodology 1. Survey Research 2. Theory and Validity 3. Mixed Methods 4. Measurement Theory 5. Theories of Response and Error 6. Participant Sampling; Part B: Survey Construction 7. Survey Development Framework 8. Writing Items 9. Constructing Response Scales 10. Qualitative Survey Item Review 11. Quantitative Survey Item Review; Part C: Assessing Psychometric Properties 12. Assessing Reliability 13. Assessing Validity; Part D: Recommendations for Theory-Driven Mixed-Methods Survey Development and Validation 14. Synopsis

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